Photo of Professor Frans Coenen

Professor Frans Coenen

Professor of Computer Science Computer Science

    Publications

    2021

    Management of non-urgent paediatric emergency department attendances by GPs: a retrospective observational study (Journal article)

    Leigh, S., Mehta, B., Dummer, L., Aird, H., McSorley, S., Oseyenum, V., . . . Carrol, E. D. (2021). Management of non-urgent paediatric emergency department attendances by GPs: a retrospective observational study. BRITISH JOURNAL OF GENERAL PRACTICE, 71(702), E22-E30. doi:10.3399/bjgp20X713885

    DOI: 10.3399/bjgp20X713885

    2020

    MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis. (Journal article)

    Wang, Y., Chen, K., Wei, Z., Coenen, F., Su, J., & Meng, J. (2020). MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis.. Bioinformatics (Oxford, England). doi:10.1093/bioinformatics/btaa938

    DOI: 10.1093/bioinformatics/btaa938

    Adversarial Domain Adaptation for Crisis Data Classification on Social Media (Conference Paper)

    Chen, Q., Wang, W., Huang, K., De, S., & Coenen, F. (2020). Adversarial Domain Adaptation for Crisis Data Classification on Social Media. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE. doi:10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00061

    DOI: 10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00061

    Efficient Distributed MST Based Clustering for Recommender Systems (Conference Paper)

    Shahzad, A., & Coenen, F. (2020). Efficient Distributed MST Based Clustering for Recommender Systems. In 2020 International Conference on Data Mining Workshops (ICDMW). IEEE. doi:10.1109/icdmw51313.2020.00037

    DOI: 10.1109/icdmw51313.2020.00037

    Census Estimation using Histogram Representation of 3D Surfaces: A Case Study Focusing on the Karak Region (Journal article)

    El-Salhi, S., Al-Haj, S., & Coenen, F. (n.d.). Census Estimation using Histogram Representation of 3D Surfaces: A Case Study Focusing on the Karak Region. International Journal of Advanced Computer Science and Applications, 11(10). doi:10.14569/ijacsa.2020.0111087

    DOI: 10.14569/ijacsa.2020.0111087

    Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology (Conference Paper)

    Coenen, F., Alharbi, Y., & Arribas-Bel, D. (2020). Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology. In Lecture Notes in Computer Science Vol. 12393 (pp. 183-196). Bratislava, Slovakia: Springer Nature.

    Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media (Conference Paper)

    Chen, Q., Wang, W., Huang, K., De, S., & Coenen, F. (2020). Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. In 2020 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE. doi:10.1109/smartcomp50058.2020.00051

    DOI: 10.1109/smartcomp50058.2020.00051

    What matters when managing childhood fever in the emergency department? A discrete-choice experiment comparing the preferences of parents and healthcare professionals in the UK (Journal article)

    Leigh, S., Robinson, J., Yeung, S., Coenen, F., Carrol, E. D., & Niessen, L. W. (2020). What matters when managing childhood fever in the emergency department? A discrete-choice experiment comparing the preferences of parents and healthcare professionals in the UK. ARCHIVES OF DISEASE IN CHILDHOOD, 105(8), 765-771. doi:10.1136/archdischild-2019-318209

    DOI: 10.1136/archdischild-2019-318209

    Evaluating Co-reference Chains based Conversation History in Conversational Question Answering (Conference Paper)

    Mandya, A. A., Bollegala, D., & Coenen, F. P. (2020). Evaluating Co-reference Chains based Conversation History in Conversational Question Answering. In L. -M. Nguyen, X. -H. Phan, K. Hasida, & S. Tojo (Eds.), Computational Linguistics (pp. 283-292). Singapore: Springer. doi:10.1007/978-981-15-6168-9_24

    DOI: 10.1007/978-981-15-6168-9_24

    Secure Third Party Data Clustering Using SecureCL, F-Data and Multi-User Order Preserving Encryption (Journal article)

    Coenen, F., & Nawal, A. (2020). Secure Third Party Data Clustering Using SecureCL, F-Data and Multi-User Order Preserving Encryption. Expert Systems.

    Knowledge Base Enrichment by Relation Learning from Social Tagging Data (Journal article)

    Dong, H., Wang, W., Coenen, F., & Huang, K. (2020). Knowledge Base Enrichment by Relation Learning from Social Tagging Data. Information Sciences. doi:10.1016/j.ins.2020.04.002

    DOI: 10.1016/j.ins.2020.04.002

    Querrying Encrypted Data in Graph Databases (Conference Paper)

    Coenen, F. P., Lisitsa, A., & Aburawi, N. N. (2020). Querrying Encrypted Data in Graph Databases.

    Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data (Journal article)

    Celik, N., O’Brien, F., Brennan, S., Rainbow, R. D., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (2020). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Communications Biology, 3, 1-10. doi:10.1038/s42003-019-0729-3

    DOI: 10.1038/s42003-019-0729-3

    Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach (Conference Paper)

    Alshehri, M., Coenen, F., & Dures, K. (2020). Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach. In Unknown Conference (pp. 273-285). Springer International Publishing. doi:10.1007/978-3-030-63799-6_21

    DOI: 10.1007/978-3-030-63799-6_21

    Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering (Conference Paper)

    Mandya, A., O'Neill, J., Bollegala, D., & Coenen, F. (n.d.). Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering. Retrieved from http://arxiv.org/abs/2005.05754v1

    Experiments in non-personalized future blood glucose level prediction (Conference Paper)

    Bevan, R., & Coenen, F. (2020). Experiments in non-personalized future blood glucose level prediction. In CEUR Workshop Proceedings Vol. 2675 (pp. 100-104).

    From Semi-automated to Automated Methods of Ontology Learning from Twitter Data (Conference Paper)

    Alajlan, S., Coenen, F., & Mandya, A. (2020). From Semi-automated to Automated Methods of Ontology Learning from Twitter Data. In Unknown Conference (pp. 213-236). Springer International Publishing. doi:10.1007/978-3-030-66196-0_10

    DOI: 10.1007/978-3-030-66196-0_10

    Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. (Conference Paper)

    Mandya, A., Bollegala, D., & Coenen, F. (2020). Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction.. In D. Scott, N. Bel, & C. Zong (Eds.), COLING (pp. 6424-6435). International Committee on Computational Linguistics. Retrieved from https://www.aclweb.org/anthology/volumes/2020.coling-main/

    In-Bed Human Pose Classification Using Sparse Inertial Signals (Chapter)

    Elnaggar, O., Coenen, F., & Paoletti, P. (2020). In-Bed Human Pose Classification Using Sparse Inertial Signals. In Lecture Notes in Computer Science (pp. 331-344). Springer International Publishing. doi:10.1007/978-3-030-63799-6_25

    DOI: 10.1007/978-3-030-63799-6_25

    Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience (Conference Paper)

    Muhammad, I., Bollegala, D., Coenen, F., Gamble, C., Kearney, A., & Williamson, P. (2020). Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience. In Unknown Conference (pp. 345-357). Springer International Publishing. doi:10.1007/978-3-030-63799-6_26

    DOI: 10.1007/978-3-030-63799-6_26

    Open Information Extraction for Knowledge Graph Construction (Conference Paper)

    Muhammad, I., Kearney, A., Gamble, C., Coenen, F., & Williamson, P. (2020). Open Information Extraction for Knowledge Graph Construction. In Unknown Conference (pp. 103-113). Springer International Publishing. doi:10.1007/978-3-030-59028-4_10

    DOI: 10.1007/978-3-030-59028-4_10

    Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices (Conference Paper)

    Almutairi, N., Coenen, F., & Dures, K. (2020). Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices. In Unknown Conference (pp. 3-24). Springer International Publishing. doi:10.1007/978-3-030-49559-6_1

    DOI: 10.1007/978-3-030-49559-6_1

    2019

    Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents (Conference Paper)

    Torrisi, A., Bevan, R., Atkinson, K., Bollegala, D., & Coenen, F. (2019). Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents. In LEGAL KNOWLEDGE AND INFORMATION SYSTEMS (JURIX 2019) Vol. 322 (pp. 223-228). doi:10.3233/FAIA190329

    DOI: 10.3233/FAIA190329

    Effective Sub-Sequence-Based Dynamic Time Warping (Conference Paper)

    Coenen, F. P., Dures, K., & Alshehri, M. (2019). Effective Sub-Sequence-Based Dynamic Time Warping. In SGAI 2019: Artificial Intelligence XXXVI (pp. 293).

    Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data (Journal article)

    Celik, N., O’Brien, F., Brennan, S., Rainbow, R., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (n.d.). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. BioRxiv. doi:10.1101/767418

    DOI: 10.1101/767418

    A Cryptographic Ensemble for Secure Third Party Data Analysis: Collaborative Data Clustering Without Data Owner Participation (Journal article)

    Almutairi, S. T., Coenen, F. P., & Dures, K. (2019). A Cryptographic Ensemble for Secure Third Party Data Analysis: Collaborative Data Clustering Without Data Owner Participation. Knowledge and Data Engineering. doi:10.1016/j.datak.2019.101734

    DOI: 10.1016/j.datak.2019.101734

    Automated Bundle Pagination Using Machine Learning (Conference Paper)

    Torrisi, A., Bevan, R., Atkinson, K., Bollegala, D., & Coenen, F. (2019). Automated Bundle Pagination Using Machine Learning. In Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law. ACM. doi:10.1145/3322640.3326726

    DOI: 10.1145/3322640.3326726

    The cost of diagnostic uncertainty: a prospective economic analysis of febrile children attending an NHS emergency department (Journal article)

    Leigh, S., Grant, A., Murray, N., Faragher, B., Desai, H., Dolan, S., . . . Carrol, E. D. (2019). The cost of diagnostic uncertainty: a prospective economic analysis of febrile children attending an NHS emergency department. BMC Medicine, 17. doi:10.1186/s12916-019-1275-z

    DOI: 10.1186/s12916-019-1275-z

    Modified framework for sarcasm detection and classification in sentiment analysis (Journal article)

    Coenen, F. P., Suhaimin, M. S. M., Hijazi, M. H. A., & Alfred, R. (n.d.). Modified framework for sarcasm detection and classification in sentiment analysis. Indonesian Journal of Electrical Engineering and Computer Science. doi:10.11591/ijeecs.v13.i3.pp1175-1183

    DOI: 10.11591/ijeecs.v13.i3.pp1175-1183

    Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches (Journal article)

    Guan, C., Yuen, K. K. F., & Coenen, F. (2019). Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches. Swarm and Evolutionary Computation, 44, 876-896. doi:10.1016/j.swevo.2018.09.008

    DOI: 10.1016/j.swevo.2018.09.008

    A dataset for inter-sentence relation extraction using distant supervision (Conference Paper)

    Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2019). A dataset for inter-sentence relation extraction using distant supervision. In LREC 2018 - 11th International Conference on Language Resources and Evaluation (pp. 1559-1565).

    Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain (Chapter)

    Alshehri, A., Coenen, F., & Bollegala, D. (2019). Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain. In Communications in Computer and Information Science (pp. 43-66). Springer International Publishing. doi:10.1007/978-3-030-15640-4_3

    DOI: 10.1007/978-3-030-15640-4_3

    Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram (Conference Paper)

    Alhijailan, H., & Coenen, F. (2019). Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram. In KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR (pp. 266-273). doi:10.5220/0008018902660273

    DOI: 10.5220/0008018902660273

    Feature visualisation of classification of diabetic retinopathy using a convolutional neural network (Conference Paper)

    Pratt, H., Coenen, F., Harding, S. P., Broadbent, D. M., & Zheng, Y. (2019). Feature visualisation of classification of diabetic retinopathy using a convolutional neural network. In CEUR Workshop Proceedings Vol. 2429 (pp. 23-29).

    Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection (Chapter)

    Coenen, F., & Dittakan, K. (2019). Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection. In Communications in Computer and Information Science (pp. 3-27). Springer International Publishing. doi:10.1007/978-3-319-99701-8_1

    DOI: 10.1007/978-3-319-99701-8_1

    Joint multi-label attention networks for social text annotation (Conference Paper)

    Dong, H., Wang, W., Huang, K., & Coenen, F. (2019). Joint multi-label attention networks for social text annotation. In NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference Vol. 1 (pp. 1348-1354).

    Motif Discovery in Long Time Series: Classifying Phonocardiograms (Conference Paper)

    Alhijailan, H., & Coenen, F. (2019). Motif Discovery in Long Time Series: Classifying Phonocardiograms. In ARTIFICIAL INTELLIGENCE XXXVI Vol. 11927 (pp. 198-212). doi:10.1007/978-3-030-34885-4_16

    DOI: 10.1007/978-3-030-34885-4_16

    Ontology Learning from Twitter Data (Conference Paper)

    Alajlan, S., Coenen, F., Konev, B., & Mandya, A. (2019). Ontology Learning from Twitter Data. In KEOD: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 2: KEOD (pp. 94-103). doi:10.5220/0008067600940103

    DOI: 10.5220/0008067600940103

    Preface (Conference Paper)

    Wiratunga, N., Coenen, F., & Sani, S. (2019). Preface. In CEUR Workshop Proceedings Vol. 2429 (pp. II).

    Sub-Sequence-Based Dynamic Time Warping (Conference Paper)

    Alshehri, M., Coenen, F., & Dures, K. (2019). Sub-Sequence-Based Dynamic Time Warping. In KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR (pp. 274-281). doi:10.5220/0008053402740281

    DOI: 10.5220/0008053402740281

    Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling (Conference Paper)

    Alharbi, Y., Arribas-Be, D., & Coenen, F. (2019). Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling. In KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR (pp. 297-304). doi:10.5220/0008067202970304

    DOI: 10.5220/0008067202970304

    2018

    Secure Third Party Data Clustering Using F Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Conference Paper)

    Coenen, F. P., Almutairi, N., & Dures, K. (2018). Secure Third Party Data Clustering Using F Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices. In Springer. Cambridge: Springer Nature.

    Iterative Keystroke Continuous Authentication: A Time Series Based Approach (Journal article)

    Alshehri, A., Coenen, F., & Bollegala, D. (2018). Iterative Keystroke Continuous Authentication: A Time Series Based Approach. KI - Künstliche Intelligenz, 32(4), 231-243. doi:10.1007/s13218-018-0526-z

    DOI: 10.1007/s13218-018-0526-z

    Multi-Dimensional Banded Pattern Mining (Conference Paper)

    Abdullahi, F., & Coenen, F. (2018). Multi-Dimensional Banded Pattern Mining.

    Segmenting sound waves to support Phonocardiogram analysis: the PCGseg Approach (Conference Paper)

    Alhijaillan, H., Coenen, F., Dukes-McEwan, J., & Thiyalgalingam, J. (2018). Segmenting sound waves to support Phonocardiogram analysis: the PCGseg Approach. In Society for the study of artificial intelligence and simulation of behaviour (AISB). Liverpool.

    Attributes-oriented clothing description and retrieval with multi-task convolutional neural network (Conference Paper)

    Xia, Y., Chen, B., Lu, W., Coenen, F., & Zhang, B. (2017). Attributes-oriented clothing description and retrieval with multi-task convolutional neural network. In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE. doi:10.1109/fskd.2017.8393378

    DOI: 10.1109/fskd.2017.8393378

    Multilingual and Skew License Plate Detection Based on Extremal Regions (Conference Paper)

    Qian, R., Zhang, B., Coenen, F., & Yue, Y. (2017). Multilingual and Skew License Plate Detection Based on Extremal Regions. In 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) (pp. 850-855). Retrieved from http://gateway.webofknowledge.com/

    Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral (Journal article)

    Coenen, F. P., Pratt, H., Zheng, Y., Harding, S., Williams, B., & Broadbent, D. (2018). Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral. European Journal of Ophthalmology.

    Performance of Case-Based Reasoning Retrieval Using Classification Based on Associations versus Jcolibri and FreeCBR: A Further Validation Study (Conference Paper)

    Aljuboori, A. S., Coenen, F., Nsaif, M., & Parsons, D. J. (2018). Performance of Case-Based Reasoning Retrieval Using Classification Based on Associations versus Jcolibri and FreeCBR: A Further Validation Study. In Journal of Physics: Conference Series Vol. 1003 (pp. 012130). IOP Publishing. doi:10.1088/1742-6596/1003/1/012130

    DOI: 10.1088/1742-6596/1003/1/012130

    Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography (Journal article)

    Pratt, H., Williams, B., Ku, J., Vas, C., McCann, E., Al-Bander, B., . . . Zheng, Y. (n.d.). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. Journal of Imaging, 4(1), 4. doi:10.3390/jimaging4010004

    DOI: 10.3390/jimaging4010004

    Classifier-Based Pattern Selection Approach for Relation Instance Extraction (Conference Paper)

    Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). Classifier-Based Pattern Selection Approach for Relation Instance Extraction. In COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING (CICLING 2017), PT I Vol. 10761 (pp. 418-434). doi:10.1007/978-3-319-77113-7_33

    DOI: 10.1007/978-3-319-77113-7_33

    Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices (Conference Paper)

    Almutairi, N., Coenen, F., & Dures, K. (2018). Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006890800410050

    DOI: 10.5220/0006890800410050

    Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices. (Conference Paper)

    Almutairi, N., Coenen, F., & Dures, K. (2018). Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices.. In A. L. N. Fred, & J. Filipe (Eds.), KDIR (pp. 39-48). SciTePress. Retrieved from http://www.informatik.uni-trier.de/~ley/db/conf/ic3k/kdir2018.html

    Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning (Conference Paper)

    Coenen, F. P., Bevan, R., Torrisi, A., Atkinson, K., & Bollegala, D. (n.d.). Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning. In JURIX 2018.

    Frame-Based Semantic Patterns for Relation Extraction (Conference Paper)

    Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). Frame-Based Semantic Patterns for Relation Extraction. In COMPUTATIONAL LINGUISTICS, PACLING 2017 Vol. 781 (pp. 51-62). doi:10.1007/978-981-10-8438-6_5

    DOI: 10.1007/978-981-10-8438-6_5

    Learning relations from social tagging data (Conference Paper)

    Dong, H., Wang, W., & Coenen, F. (2018). Learning Relations from Social Tagging Data. In PRICAI 2018: TRENDS IN ARTIFICIAL INTELLIGENCE, PT I Vol. 11012 (pp. 29-41). doi:10.1007/978-3-319-97304-3_3

    DOI: 10.1007/978-3-319-97304-3_3

    Location-aware convolutional neural networks based breast tumor detection (Conference Paper)

    Huafeng Hu., Coenen, F., Fei Ma., Thiyagalingam, J., & Jionglong Su. (2018). Location-aware convolutional neural networks based breast tumor detection. In IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018 (BRAIN 2018). Institution of Engineering and Technology. doi:10.1049/cp.2018.1724

    DOI: 10.1049/cp.2018.1724

    Querying Encrypted Graph Databases (Conference Paper)

    Aburawi, N., Lisitsa, A., & Coenen, F. (2018). Querying Encrypted Graph Databases. In Proceedings of the 4th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006660004470451

    DOI: 10.5220/0006660004470451

    Rules for inducing hierarchies from social tagging data (Conference Paper)

    Dong, H., Wang, W., & Coenen, F. (2018). Rules for Inducing Hierarchies from Social Tagging Data. In TRANSFORMING DIGITAL WORLDS, ICONFERENCE 2018 Vol. 10766 (pp. 345-355). doi:10.1007/978-3-319-78105-1_38

    DOI: 10.1007/978-3-319-78105-1_38

    Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication (Conference Paper)

    Alshehri, A., Coenen, F., & Bollegala, D. (2018). Spectral Analysis of Keystroke Streams: Towards Effective Real-timeContinuous User Authentication. In Proceedings of the 4th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006606100620073

    DOI: 10.5220/0006606100620073

    Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix (Conference Paper)

    Almutairi, N., Coenen, F., & Dures, K. (2018). Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2018) Vol. 11031 (pp. 163-173). doi:10.1007/978-3-319-98539-8_13

    DOI: 10.1007/978-3-319-98539-8_13

    Traversal-aware Encryption Adjustment for Graph Databases (Conference Paper)

    Aburawi, N., Coenen, F., & Lisitsa, A. (2018). Traversal-aware Encryption Adjustment for Graph Databases. In Proceedings of the 7th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006916403810387

    DOI: 10.5220/0006916403810387

    2017

    FCNNs: Fourier Convolutional Neural Networks (Conference Paper)

    Pratt, H., Williams, B. M., Coenen, F. P., & Zheng, Y. (2017). FCNNs: Fourier Convolutional Neural Networks. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017 Vol. 10534 (pp. 786-798). doi:10.1007/978-3-319-71249-9_47

    DOI: 10.1007/978-3-319-71249-9_47

    TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation (Conference Paper)

    Coenen, F. P., Cui., & bollegala. (2017). TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation. In ECML-PKDD.

    Spectral Keyboard Streams: Towards Effective and Continuous Authentication (Conference Paper)

    Coenen, F. P., alshehri., & bollegala. (2017). Spectral Keyboard Streams: Towards Effective and Continuous Authentication.

    Mining the information architecture of the WWW using automated website boundary detection (Journal article)

    Alshukri, A., & Coenen, F. (2017). Mining the information architecture of the WWW using automated website boundary detection. Web Intelligence, 15(4), 269-290. doi:10.3233/web-170365

    DOI: 10.3233/web-170365

    Natural language processing based features for sarcasm detection: An investigation using bilingual social media texts (Conference Paper)

    Suhaimin, M. S. M., Hijazi, M. H. A., Alfred, R., & Coenen, F. (2017). Natural language processing based features for sarcasm detection: An investigation using bilingual social media texts. In 2017 8th International Conference on Information Technology (ICIT). IEEE. doi:10.1109/icitech.2017.8079931

    DOI: 10.1109/icitech.2017.8079931

    K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction (Conference Paper)

    Coenen, F. P., Almutairi., & Dures, K. (2017). K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction. In 19th International Conference on Big Data Analytics and Knowledge Discovery. Lyon, France.

    A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages (Conference Paper)

    Coenen, F. P., Sedeeq, I., & Lisitsa. (2017). A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages.

    A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification (Journal article)

    Alshdaifat, E., Coenen, F., & Dures, K. (2017). A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 13(3), 73-90. doi:10.4018/IJDWM.2017070104

    DOI: 10.4018/IJDWM.2017070104

    Automatic detection and identification of retinal vessel junctions in colour fundus photography (Conference Paper)

    Pratt, H., Williams, B. M., Ku, J., Coenen, F., & Zheng, Y. (2017). Automatic detection and identification of retinal vessel junctions in colour fundus photography. In Medical Image Understanding and Analysis (MIUA). Edinburgh.

    CLIEL (Conference Paper)

    García-Constantino, M., Atkinson, K., Bollegala, D., Chapman, K., Coenen, F., Roberts, C., & Robson, K. (2017). CLIEL. In Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law. ACM. doi:10.1145/3086512.3086520

    DOI: 10.1145/3086512.3086520

    Reputation System Aggregation and Ageing Factor Selection using Subjective Opinions Classification (Conference Paper)

    Coenen, F. P., abdeglmageed., & lisitsa. (2017). Reputation System Aggregation and Ageing Factor Selection using Subjective Opinions Classification.

    On The Mining and Usage of Movement Patterns in Large Traffic Networks (Conference Paper)

    Al-Zeyadi, M., Coenen, F., Lisitsa, A., & IEEE. (2017). On The Mining and Usage of Movement Patterns in Large Traffic Networks. In 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP) (pp. 135-142). Retrieved from http://gateway.webofknowledge.com/

    Bias aware lexicon-based Sentiment Analysis of Malay dialect on social media data: A study on the Sabah Language (Conference Paper)

    Hijazi, M. H. A., Libin, L., Alfred, R., & Coenen, F. (2016). Bias aware lexicon-based Sentiment Analysis of Malay dialect on social media data: A study on the Sabah Language. In 2016 2nd International Conference on Science in Information Technology (ICSITech). IEEE. doi:10.1109/icsitech.2016.7852662

    DOI: 10.1109/icsitech.2016.7852662

    Clustering of Tweet Users Based on Optimal Sets (Conference Paper)

    Coenen, F. P., Dutta, A., & Paul, A. (2017). Clustering of Tweet Users Based on Optimal Sets.

    Algorithm for Finding Influential User: Based on User's Information Diffusion Region (Conference Paper)

    Namtirtha, A., Gupta, S., Dutta, A., Dutta, B., Coenen, F., & IEEE. (2016). Algorithm for Finding Influential User: Based on User's Information Diffusion Region. In PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) (pp. 2734-2738). Retrieved from http://gateway.webofknowledge.com/

    Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming (Conference Paper)

    Alshehri, A., Coenen, F., & Bollegala, D. (2017). Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006497200610070

    DOI: 10.5220/0006497200610070

    Attribute Permutation Steganography Detection using Attribute Position Changes Count (Conference Paper)

    Sedeeq, I., Coenen, F., & Lisitsa, A. (2017). Attribute Permutation Steganography Detection using Attribute Position Changes Count. In ICISSP: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (pp. 95-100). doi:10.5220/0006166400950100

    DOI: 10.5220/0006166400950100

    Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies. (Conference Paper)

    Cui, X., Coenen, F., & Bollegala, D. (2017). Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies.. In LIDTA@PKDD/ECML Vol. 74 (pp. 103-115). PMLR. Retrieved from http://proceedings.mlr.press/v74/

    Extracting Movement Patterns from Video Data to Drive Multi-Agent Based Simulations (Conference Paper)

    Tufail, M., Coenen, F., & Mu, T. (2017). Extracting Movement Patterns from Video Data to Drive Multi-Agent Based Simulations. In Unknown Conference (pp. 128-140). Springer International Publishing. doi:10.1007/978-3-319-67477-3_7

    DOI: 10.1007/978-3-319-67477-3_7

    User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network (Conference Paper)

    Al-Zeyadi, M., Coenen, F., & Lisitsa, A. (2017). User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006494601730180

    DOI: 10.5220/0006494601730180

    Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration (Journal article)

    Albarrak, A., Coenen, F., & Zheng, Y. (2017). Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 55, 113-123. doi:10.1016/j.compmedimag.2016.07.007

    DOI: 10.1016/j.compmedimag.2016.07.007

    2016

    Towards Keystroke Continuous Authentication Using Time Series Analytics. (Conference Paper)

    Alshehri, A., Coenen, F., & Bollegala, D. (2016). Towards Keystroke Continuous Authentication Using Time Series Analytics.. In M. Bramer, & M. Petridis (Eds.), SGAI Conf. (pp. 325-339). Springer. Retrieved from https://doi.org/10.1007/978-3-319-47175-4

    The application of social network mining to cattle movement analysis: introducing the predictive trend mining framework (Journal article)

    Nohuddin, P., Coenen, F., & Christley, R. (2016). The application of social network mining to cattle movement analysis: introducing the predictive trend mining framework. Social Network Analysis and Mining, 6(1). doi:10.1007/s13278-016-0353-x

    DOI: 10.1007/s13278-016-0353-x

    Face Occlusion Detection Using Deep Convolutional Neural Networks (Journal article)

    Xia, Y., Zhang, B., & Coenen, F. (2016). Face Occlusion Detection Using Deep Convolutional Neural Networks. International Journal of Pattern Recognition and Artificial Intelligence, 30(09), 1660010. doi:10.1142/s0218001416600107

    DOI: 10.1142/s0218001416600107

    Road Surface Traffic Sign Detection with Hybrid Region Proposal and Fast R-CNN (Conference Paper)

    Qian, R., Liu, Q., Yue, Y., Coenen, F., & Zhang, B. (2016). Road Surface Traffic Sign Detection with Hybrid Region Proposal and Fast R-CNN. In 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) (pp. 555-559). Retrieved from http://gateway.webofknowledge.com/

    Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions (Conference Paper)

    Qian, R., Yue, Y., Coenen, F., & Zhang, B. (2016). Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions. In 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) (pp. 578-582). Retrieved from http://gateway.webofknowledge.com/

    Keyboard Usage Authentication using Multi-variant Time Series Analysis (Conference Paper)

    Coenen, F. P., Alshehri., & Bollegala. (2016). Keyboard Usage Authentication using Multi-variant Time Series Analysis. In Springer LNCS. Porto, Portugal.

    Traffic sign recognition using visual attribute learning and convolutional neural network (Conference Paper)

    Qian, R. -Q., Yue, Y., Coenen, F., & Zhang, B. -L. (2016). Traffic sign recognition using visual attribute learning and convolutional neural network. In 2016 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE. doi:10.1109/icmlc.2016.7860932

    DOI: 10.1109/ICMLC.2016.7860932

    Visual Attribute Classification Using Feature Selection and Convolutional Neural Network (Conference Paper)

    Qian, R., Yue, Y., Coenen, F., & Zhang, B. (2016). Visual Attribute Classification Using Feature Selection and Convolutional Neural Network. In PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016) (pp. 649-653). Retrieved from http://gateway.webofknowledge.com/

    Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features (Journal article)

    Yan, C., Coenen, F., Yue, Y., Yang, X., & Zhang, B. (2016). Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 30(5). doi:10.1142/S0218001416500105

    DOI: 10.1142/S0218001416500105

    Mining frequent itemsets using the N-list and subsume concepts (Journal article)

    Vo, B., Le, T., Coenen, F., & Hong, T. -P. (2016). Mining frequent itemsets using the N-list and subsume concepts. International Journal of Machine Learning and Cybernetics, 7(2), 253-265. doi:10.1007/s13042-014-0252-2

    DOI: 10.1007/s13042-014-0252-2

    Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data (Conference Paper)

    Abdullahi, F., Coenen, F. P., & Martin, R. (2016). Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data.

    Driving posture recognition by convolutional neural networks (Journal article)

    Yan, C., Coenen, F., & Zhang, B. (2016). Driving posture recognition by convolutional neural networks. IET COMPUTER VISION, 10(2), 103-114. doi:10.1049/iet-cvi.2015.0175

    DOI: 10.1049/iet-cvi.2015.0175

    A Statistical Approach to The Detection of HTML Attribute Permutation. (Conference Paper)

    Coenen, F. P., lisitsa., & sedeeq. (2016). A Statistical Approach to The Detection of HTML Attribute Permutation..

    Multi-attributes Gait Identification by Convolutional Neural Networks (Conference Paper)

    Yan, C., Zhang, B., & Coenen, F. (2015). Multi-attributes Gait Identification by Convolutional Neural Networks. In 2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) (pp. 642-647). Retrieved from http://gateway.webofknowledge.com/

    Recognizing Driver Inattention by Convolutional Neural Networks (Conference Paper)

    Yan, C., Jiang, H., Zhang, B., & Coenen, F. (2015). Recognizing Driver Inattention by Convolutional Neural Networks. In 2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) (pp. 680-685). Retrieved from http://gateway.webofknowledge.com/

    Face occlusion detection based on multi-task convolution neural network (Conference Paper)

    Yizhang Xia., Bailing Zhang., & Coenen, F. (2015). Face occlusion detection based on multi-task convolution neural network. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE. doi:10.1109/fskd.2015.7381971

    DOI: 10.1109/fskd.2015.7381971

    Traffic Sign Detection by Template Matching based on Multi-Level Chain Code Histogram (Conference Paper)

    Qian, R., Zhang, B., Yue, Y., & Coenen, F. (2015). Traffic Sign Detection by Template Matching based on Multi-Level Chain Code Histogram. In 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) (pp. 2400-2404). Retrieved from http://gateway.webofknowledge.com/

    Towards An Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy (Conference Paper)

    Guan, C., Yuen, K. K. F., Coenen, F., & IEEE. (2015). Towards An Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. In 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS (pp. 2039-2042). doi:10.1109/SMC.2015.356

    DOI: 10.1109/SMC.2015.356

    Driving posture recognition by convolutional neural networks (Conference Paper)

    Chao Yan., Zhang, B., & Coenen, F. (2015). Driving posture recognition by convolutional neural networks. In 2015 11th International Conference on Natural Computation (ICNC). IEEE. doi:10.1109/icnc.2015.7378072

    DOI: 10.1109/icnc.2015.7378072

    Robust Chinese Traffic Sign Detection and Recognition with Deep Convolutional Neural Network (Conference Paper)

    Qian, R., Zhang, B., Yue, Y., Wang, Z., & Coenen, F. (2015). Robust Chinese Traffic Sign Detection and Recognition with Deep Convolutional Neural Network. In 2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) (pp. 791-796). Retrieved from http://gateway.webofknowledge.com/

    3-D Volume of Interest Based Image Classification (Conference Paper)

    Udomchaiporn, A., Coenen, F., Garcia-Finana, M., & Sluming, V. (2016). 3-D Volume of Interest Based Image Classification. In PRICAI 2016: TRENDS IN ARTIFICIAL INTELLIGENCE Vol. 9810 (pp. 543-555). doi:10.1007/978-3-319-42911-3_45

    DOI: 10.1007/978-3-319-42911-3_45

    Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data (Conference Paper)

    Abdullahi, F. B., Coenen, F., & Martin, R. (2016). Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data. In Unknown Conference (pp. 1-31). Springer Berlin Heidelberg. doi:10.1007/978-3-662-49784-5_1

    DOI: 10.1007/978-3-662-49784-5_1

    Convolutional Neural Networks for Diabetic Retinopathy (Conference Paper)

    Pratt, H., Coenen, F., Broadbent, D. M., Harding, S. P., & Zheng, Y. (2016, July 6). Convolutional Neural Networks for Diabetic Retinopathy. In Procedia Computer Science Vol. 90 (pp. 200-205). Loughbrough University: Elsevier. doi:10.1016/j.procs.2016.07.014

    DOI: 10.1016/j.procs.2016.07.014

    Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery (Conference Paper)

    Dittakan, K., & Coenen, F. (2016). Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery. In Unknown Conference (pp. 93-105). Springer International Publishing. doi:10.1007/978-3-319-42911-3_8

    DOI: 10.1007/978-3-319-42911-3_8

    nDrites: Enabling Laboratory Resource Multi-agent Systems (Conference Paper)

    Atkinson, K., Coenen, F., Goddard, P., Payne, T. R., & Riley, L. (2016). nDrites: Enabling Laboratory Resource Multi-agent Systems. In ENGINEERING MULTI-AGENT SYSTEMS, EMAS 2016 Vol. 10093 (pp. 1-21). doi:10.1007/978-3-319-50983-9_1

    DOI: 10.1007/978-3-319-50983-9_1

    2015

    Finding Banded Patterns in Big Data Using Sampling (Conference Paper)

    Abdullahi, F. B., Coenen, F., & Martin, R. (2015). Finding Banded Patterns in Big Data Using Sampling. In PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (pp. 2233-2242). Retrieved from http://gateway.webofknowledge.com/

    Scalable Distributed Collaborative Tracking and Mapping with Micro Aerial Vehicles (Conference Paper)

    Williams, R., Konev, B., Coenen, F., & IEEE. (2015). Scalable Distributed Collaborative Tracking and Mapping with Micro Aerial Vehicles. In 2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 3092-3097). Retrieved from http://gateway.webofknowledge.com/

    Erratum to: One-class kernel subspace ensemble for medical image classification (Journal article)

    Zhang, Y., Zhang, B., Coenen, F., Xiao, J., & Lu, W. (2015). Erratum to: One-class kernel subspace ensemble for medical image classification. EURASIP Journal on Advances in Signal Processing, 2015(1). doi:10.1186/s13634-015-0274-2

    DOI: 10.1186/s13634-015-0274-2

    An intelligent process model: predicting springback in single point incremental forming (Journal article)

    Khan, M. S., Coenen, F., Dixon, C., El-Salhi, S., Penalva, M., & Rivero, A. (2015). An intelligent process model: predicting springback in single point incremental forming. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 76(9-12), 2071-2082. doi:10.1007/s00170-014-6431-1

    DOI: 10.1007/s00170-014-6431-1

    Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs (Conference Paper)

    Yu, W., Coenen, F., Zito, M., & Dittakan, K. (2014). Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs. In 2014 IEEE International Conference on Data Mining Workshop (ICDMW) (pp. 47-54). doi:10.1109/ICDMW.2014.125

    DOI: 10.1109/ICDMW.2014.125

    A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification. (Conference Paper)

    Alshdaifat, E., Coenen, F., & Dures, K. (2015). A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification.. In M. Bramer, & M. Petridis (Eds.), SGAI Conf. (pp. 43-57). Springer. Retrieved from https://doi.org/10.1007/978-3-319-25032-8

    Collaborating Low Cost Micro Aerial Vehicles: A Demonstration (Journal article)

    Williams, R., Konev, B., & Coenen, F. (2015). Collaborating Low Cost Micro Aerial Vehicles: A Demonstration. TOWARDS AUTONOMOUS ROBOTIC SYSTEMS (TAROS 2015), 9287, 296-302. doi:10.1007/978-3-319-22416-9_33

    DOI: 10.1007/978-3-319-22416-9_33

    Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction (Conference Paper)

    Atkinson, K., Coenen, F., Goddard, P., Payne, T., & Riley, L. (2015). Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY Vol. 9263 (pp. 283-295). doi:10.1007/978-3-319-22729-0_22

    DOI: 10.1007/978-3-319-22729-0_22

    Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm (Conference Paper)

    Abdullahi, F. B., Coenen, F., & Martin, R. (2015). Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY Vol. 9263 (pp. 95-107). doi:10.1007/978-3-319-22729-0_8

    DOI: 10.1007/978-3-319-22729-0_8

    Message from the workshop chairs (Conference Paper)

    Yu, P. S., Cao, L., Zeng, Y., An, B., Symeonidis, A. L., Gorodetsky, V., & Coenen, F. (2015). Message from the workshop chairs. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) Vol. 9145 (pp. v-vi).

    Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation (Conference Paper)

    Tufail, M., Coenen, F., Mu, T., & Rind, S. J. (2015). Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation. In AGENTS AND DATA MINING INTERACTION (ADMI 2014) Vol. 9145 (pp. 38-51). doi:10.1007/978-3-319-20230-3_4

    DOI: 10.1007/978-3-319-20230-3_4

    Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming (Journal article)

    El Salhi, S., Coenen, F., Dixon, C., & Khan, M. S. (2015). Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming. EXPERT SYSTEMS WITH APPLICATIONS, 42(1), 79-93. doi:10.1016/j.eswa.2014.07.041

    DOI: 10.1016/j.eswa.2014.07.041

    Visualisation of Trend Pattern Migrations in Social Networks (Conference Paper)

    Nohuddin, P. N. E., Coenen, F., Christley, R., & Sunayama, W. (2015). Visualisation of Trend Pattern Migrations in Social Networks. In Unknown Conference (pp. 77-88). Springer International Publishing. doi:10.1007/978-3-319-25939-0_7

    DOI: 10.1007/978-3-319-25939-0_7

    2014

    One-class kernel subspace ensemble for medical image classification (Journal article)

    Zhang, Y., Zhang, B., Coenen, F., Xiao, J., & Lu, W. (2014). One-class kernel subspace ensemble for medical image classification. EURASIP Journal on Advances in Signal Processing, 2014(1). doi:10.1186/1687-6180-2014-17

    DOI: 10.1186/1687-6180-2014-17

    Age-related Macular Degeneration Screening using Data Mining Approaches (Conference Paper)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2013). Age-related Macular Degeneration Screening using Data Mining Approaches. In 2013 FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, MODELLING AND SIMULATION (AIMS 2013) (pp. 299-303). doi:10.1109/AIMS.2013.55

    DOI: 10.1109/AIMS.2013.55

    A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks (Conference Paper)

    Alshukri, A., & Coenen, F. (2014). A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks. In 2014 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 2 (pp. 9-14). doi:10.1109/WI-IAT.2014.74

    DOI: 10.1109/WI-IAT.2014.74

    Cascading One-Class Kernel Subspace Ensembles for Reliable Biopsy Image Classification (Journal article)

    Zhang, Y., Zhang, B., Coenen, F., & Lu, W. (2014). Cascading One-Class Kernel Subspace Ensembles for Reliable Biopsy Image Classification. Journal of Medical Imaging and Health Informatics, 4(2), 174-185. doi:10.1166/jmihi.2014.1238

    DOI: 10.1166/jmihi.2014.1238

    Data mining for AMD screening: A classification based approach (Journal article)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2014). Data mining for AMD screening: A classification based approach. International Journal of Simulation: Systems, Science and Technology, 15(2), 57-69. doi:10.5013/IJSSST.a.15.02.09

    DOI: 10.5013/IJSSST.a.15.02.09

    Driving Posture Recognition by Joint Application of Motion History Image and Pyramid Histogram of Oriented Gradients (Journal article)

    Yan, C., Coenen, F., & Zhang, B. (2014). Driving Posture Recognition by Joint Application of Motion History Image and Pyramid Histogram of Oriented Gradients. International Journal of Vehicular Technology, 2014, 1-11. doi:10.1155/2014/719413

    DOI: 10.1155/2014/719413

    Driving Posture Recognition by Joint Application of Motion History Image and Pyramid histogram of Oriented Gradients (Conference Paper)

    Yan, C., Coenen, F., & Zhang, B. (2014). Driving Posture Recognition by Joint Application of Motion History Image and Pyramid histogram of Oriented Gradients. In ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2 Vol. 846-847 (pp. 1102-+). doi:10.4028/www.scientific.net/AMR.846-847.1102

    DOI: 10.4028/www.scientific.net/AMR.846-847.1102

    Driving Posture Recognition by a Hierarchal Classification System with Multiple Features (Conference Paper)

    Yan, C., Zhang, B., & Coenen, F. (2014). Driving Posture Recognition by a Hierarchal Classification System with Multiple Features. In 2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014) (pp. 83-88). Retrieved from http://gateway.webofknowledge.com/

    3-D MRI Brain Scan Classification Using A Point Series Based Representation (Journal article)

    Udomchaiporn, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2014). 3-D MRI Brain Scan Classification Using A Point Series Based Representation. Unknown Journal, 300-307. doi:10.1007/978-3-319-10160-6_27

    DOI: 10.1007/978-3-319-10160-6_27

    3-D MRI Brain Scan Classification of Epilepsy Versus Non-epilepsy (Conference Paper)

    Udomchaiporn, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2014). 3-D MRI Brain Scan Classification of Epilepsy Versus Non-epilepsy. In MIUA'14 (pp. 253-258). London: MIUA.

    3D MRI Brain Scan Classification Using A Point Series Based Representation. (Conference Paper)

    Udomchaiporn, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2014). 3D MRI Brain Scan Classification Using A Point Series Based Representation.. In DaWaK'14 (pp. 12 pages). Munich: Springer.

    A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks (Conference Paper)

    Alshukri, A., & Coenen, F. (2014). A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks. In WI'14 (pp. 12 pages). Warsaw: IEEE.

    A Framework for Brand Reputation Mining and Visualisation (Conference Paper)

    Alshukri, A., Coenen, F., Li, Y., Redfern, A., & Wong, P. W. H. (2014). A Framework for Brand Reputation Mining and Visualisation. In AI 2014 (pp. 12 pages). Cambridge, UK: Springer.

    A Framework for Brand Reputation Mining and Visualisation. (Conference Paper)

    Alshukri, A., Coenen, F., Li, Y., Redfern, A., & Wong, P. W. H. (2014). A Framework for Brand Reputation Mining and Visualisation.. In M. Bramer, & M. Petridis (Eds.), SGAI Conf. (pp. 301-315). Springer. Retrieved from https://doi.org/10.1007/978-3-319-12069-0

    A Multi-Path Strategy for Hierarchical Ensemble Classification (Conference Paper)

    Alshdaifat, E., Coenen, F., & Dures, K. (2014). A Multi-Path Strategy for Hierarchical Ensemble Classification. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.

    A Multi-path Strategy for Hierarchical Ensemble Classification (Conference Paper)

    Alshdaifat, E., Coenen, F., & Dures, K. (2014). A Multi-path Strategy for Hierarchical Ensemble Classification. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 198-212). Retrieved from http://gateway.webofknowledge.com/

    A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores (Conference Paper)

    Abdullahi, F. B., Coenen, F., & Martin, R. (2014). A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 58-72). Retrieved from http://gateway.webofknowledge.com/

    A Scalable Algorithm for Banded Pattern Mining In Multi-Dimensional Zero-One Data (Conference Paper)

    Abdullahi, F., Coenen, F., & Martin, R. (2014). A Scalable Algorithm for Banded Pattern Mining In Multi-Dimensional Zero-One Data. In DaWaK'14 (pp. 12 pages). Munich: Springer.

    A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data (Conference Paper)

    Abdullahi, F. B., Coenen, F., & Martin, R. (2014). A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data. In Unknown Conference (pp. 345-356). Springer International Publishing. doi:10.1007/978-3-319-10160-6_31

    DOI: 10.1007/978-3-319-10160-6_31

    Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2014). Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 272-284). Retrieved from http://gateway.webofknowledge.com/

    Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration. (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2014). Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration.. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.

    Mining Movement Patterns from Video Data to Inform Multi Agent Based Simulation (Conference Paper)

    Tufail, M., Coenen, F., & Mu, T. (2014). Mining Movement Patterns from Video Data to Inform Multi Agent Based Simulation. In ADMI'14 (pp. 12 pages). Paris: S[rimger.

    Multi-agent Environment Exploration with AR.Drones (Conference Paper)

    Williams, R., Konev, B., & Coenen, F. (2014). Multi-agent Environment Exploration with AR.Drones. In Unknown Conference (pp. 60-71). Springer International Publishing. doi:10.1007/978-3-319-10401-0_6

    DOI: 10.1007/978-3-319-10401-0_6

    Multi-agent environment exploration with AR.Drones (Conference Paper)

    Williams, R., Konev, B., & Coenen, F. (2014). Multi-agent environment exploration with AR.Drones. In TAROS'14 (pp. 12 pages). Birmingham: Springer.

    Network Analysis of Parliamentary Debates: A Case Study on the UK House of Commons (Conference Paper)

    Salah, Z., Coenen, F., & Grossi, D. (2014). Network Analysis of Parliamentary Debates: A Case Study on the UK House of Commons. In EUSN'14 (pp. 12 Pages). Barcelona: Springer.

    Novel Approach for Identifying Banded Patterns In Zero-One Data Using Column and Row Banding Scores (Conference Paper)

    Abdullahi, F., Coenen, F., & Martin, R. (2014). Novel Approach for Identifying Banded Patterns In Zero-One Data Using Column and Row Banding Scores. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.

    PRICAI 2014: Trends in Artificial Intelligence (Journal article)

    PRICAI 2014: Trends in Artificial Intelligence (2014). doi:10.1007/978-3-319-13560-1

    DOI: 10.1007/978-3-319-13560-1

    Trend mining in social networks: from trend identification to visualization (Journal article)

    Nohuddin, P. N. E., Sunayama, W., Christley, R., Coenen, F., & Setzkorn, C. (2014). Trend mining in social networks: from trend identification to visualization. EXPERT SYSTEMS, 31(5), 457-468. doi:10.1111/exsy.12024

    DOI: 10.1111/exsy.12024

    2013

    Classification of volumetric retinal images using overlapping decomposition and tree analysis (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of volumetric retinal images using overlapping decomposition and tree analysis. In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems. IEEE. doi:10.1109/cbms.2013.6627757

    DOI: 10.1109/cbms.2013.6627757

    3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation (Conference Paper)

    Udomchaiporn, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2013). 3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation. In Unknown Conference (pp. 229-240). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_20

    DOI: 10.1007/978-3-642-53914-5_20

    A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery (Conference Paper)

    Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery. In Unknown Conference (pp. 253-264). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_22

    DOI: 10.1007/978-3-642-53914-5_22

    A Hybrid Approach for Mining Frequent Itemsets (Conference Paper)

    Vo, B., Coenen, F., Le, T., & Hong, T. -P. (2013). A Hybrid Approach for Mining Frequent Itemsets. In 2013 IEEE International Conference on Systems, Man, and Cybernetics. IEEE. doi:10.1109/smc.2013.791

    DOI: 10.1109/smc.2013.791

    An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets (Conference Paper)

    Le, T., Vo, B., & Coenen, F. (2013). An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets. In 2013 IEEE International Conference on Systems, Man, and Cybernetics. IEEE. doi:10.1109/smc.2013.388

    DOI: 10.1109/smc.2013.388

    Generating Domain-Specific Sentiment Lexicons for Opinion Mining (Conference Paper)

    Salah, Z., Coenen, F., & Grossi, D. (2013). Generating Domain-Specific Sentiment Lexicons for Opinion Mining. In Unknown Conference (pp. 13-24). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_2

    DOI: 10.1007/978-3-642-53914-5_2

    Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification (Conference Paper)

    Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification. In Unknown Conference (pp. 493-504). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_42

    DOI: 10.1007/978-3-642-53914-5_42

    Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming (Conference Paper)

    El-Salhi, S., Coenen, F., Dixon, C., & Khan, M. S. (2013). Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming. In Unknown Conference (pp. 505-516). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_43

    DOI: 10.1007/978-3-642-53914-5_43

    Vertex Unique Labelled Subgraph Mining for Vertex Label Classification (Conference Paper)

    Yu, W., Coenen, F., Zito, M., & El Salhi, S. (2013). Vertex Unique Labelled Subgraph Mining for Vertex Label Classification. In Unknown Conference (pp. 542-553). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_46

    DOI: 10.1007/978-3-642-53914-5_46

    Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles (Journal article)

    Zhang, Y., Zhang, B., Coenen, F., & Lu, W. (2013). Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles. Machine Vision and Applications, 24(7), 1405-1420. doi:10.1007/s00138-012-0459-8

    DOI: 10.1007/s00138-012-0459-8

    Minimal Vertex Unique Labelled Subgraph Mining (Conference Paper)

    Yu, W., Coenen, F., Zito, M., & El Salhi, S. (2013). Minimal Vertex Unique Labelled Subgraph Mining. In Unknown Conference (pp. 317-326). Springer Berlin Heidelberg. doi:10.1007/978-3-642-40131-2_28

    DOI: 10.1007/978-3-642-40131-2_28

    Population Estimation Mining Using Satellite Imagery (Conference Paper)

    Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). Population Estimation Mining Using Satellite Imagery. In Unknown Conference (pp. 285-296). Springer Berlin Heidelberg. doi:10.1007/978-3-642-40131-2_25

    DOI: 10.1007/978-3-642-40131-2_25

    Extracting debate graphs from parliamentary transcripts (Conference Paper)

    Salah, Z., Coenen, F., & Grossi, D. (2013). Extracting debate graphs from parliamentary transcripts. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law - ICAIL '13. ACM Press. doi:10.1145/2514601.2514615

    DOI: 10.1145/2514601.2514615

    Feature Representation for Customer Attrition Risk Prediction in Retail Banking (Conference Paper)

    Wang, Y. J., Di, G., Yu, J., Lei, J., & Coenen, F. (2013). Feature Representation for Customer Attrition Risk Prediction in Retail Banking. In Unknown Conference (pp. 229-238). Springer Berlin Heidelberg. doi:10.1007/978-3-642-39736-3_18

    DOI: 10.1007/978-3-642-39736-3_18

    Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland (Journal article)

    Dittakan, K., Coenen, F., & Christley, R. (2013). Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland. Unknown Journal, 260-274. doi:10.1007/978-3-642-39712-7_20

    DOI: 10.1007/978-3-642-39712-7_20

    A new method for mining Frequent Weighted Itemsets based on WIT-trees (Journal article)

    Vo, B., Coenen, F., & Le, B. (2013). A new method for mining Frequent Weighted Itemsets based on WIT-trees. Expert Systems with Applications, 40(4), 1256-1264. doi:10.1016/j.eswa.2012.08.065

    DOI: 10.1016/j.eswa.2012.08.065

    A survey of frequent subgraph mining algorithms (Journal article)

    Jiang, C., Coenen, F., & Zito, M. (2013). A survey of frequent subgraph mining algorithms. KNOWLEDGE ENGINEERING REVIEW, 28(1), 75-105. doi:10.1017/S0269888912000331

    DOI: 10.1017/S0269888912000331

    A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery (Conference Paper)

    Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.

    A Hybrid Approach for Mining Frequent Itemsets (Conference Paper)

    Vo, B., Le, T., Coenen, F., & Hong, T. -P. (2013). A Hybrid Approach for Mining Frequent Itemsets. In SMC 2013 (pp. TBA). Manchester, UK.: IEEE.

    A Multiagent Based Framework for the Simulation of Mammalian Behaviour (Conference Paper)

    Agiriga, E., Coenen, F., Hurst, J., & Kowalsk, D. (2013). A Multiagent Based Framework for the Simulation of Mammalian Behaviour. In BCS-SGASI AI2013 (pp. TBA). Cambridge: Springer.

    Age-related Macular Degeneration Identification In Volumetric Optical Coherence Tomography Using Decomposition and Local Feature Extraction (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2013). Age-related Macular Degeneration Identification In Volumetric Optical Coherence Tomography Using Decomposition and Local Feature Extraction. In MIUA (pp. 59-64). Birmingham: MIUA.

    Age-related macular degeneration screening using data mining approaches. (Conference Paper)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2013). Age-related macular degeneration screening using data mining approaches.. In 1st International Conference on Aritificial Intelligence, Modelling and Simulation (pp. 1-8). Kota Kinabalu: IEEE.

    An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets (Conference Paper)

    Le, T., Vo, B., & Coenen, F. (2013). An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets. In SMC'13 (pp. TBA). Manchester: IEEE.

    An Inductive Rule Learning Technique for Text Mining in Questionnaires (Conference Paper)

    Chua, S., & Coenen, F. (2013). An Inductive Rule Learning Technique for Text Mining in Questionnaires. In ICOCI 2013 (pp. TBA). Kuching, Sarawak, Malaysia: University Utara Malaysia.

    Ben Valkenburg: a tribute (Journal article)

    Beukema, L., & Coenen, F. (2013). Ben Valkenburg: a tribute. Transfer: European Review of Labour and Research, 19(2), 147-150. doi:10.1177/1024258913481295

    DOI: 10.1177/1024258913481295

    Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis. In IEEE CBMS2013 (pp. 1-8). Porto: IEEE.

    Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis. In 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (pp. 11-16). Retrieved from http://gateway.webofknowledge.com/

    Classification of volumetric retinal images using overlapping decomposition and tree analysis (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of volumetric retinal images using overlapping decomposition and tree analysis. In The 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 6). Porto, Portugal: IEEE.

    Generating Domain-Specific Sentiment Lexicons for Opinion Mining (Conference Paper)

    Salah, Z., Coenen, F., & Grossi, D. (2013). Generating Domain-Specific Sentiment Lexicons for Opinion Mining. In ADMA'13 (pp. TBA). Hangzhou, China: Soringer.

    Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification (Conference Paper)

    Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.

    Hierarchical Single Label classification: An Alternative Approach (Conference Paper)

    Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Single Label classification: An Alternative Approach. In BCS-SGAI AI'2013 (pp. TBA). Cambridge, UK: Springer.

    Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming (Conference Paper)

    El Salhi, S., Coenen, F., Dixon, C., & Khan, M. (2013). Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.

    Satellite Image Mining for Census Collection: A Comparative Study With Respect to the Ethiopian Hinterland (Conference Paper)

    Dittakan, K., Coenen, F., & Christley, R. (2013). Satellite Image Mining for Census Collection: A Comparative Study With Respect to the Ethiopian Hinterland. In MLDM'13 (pp. 260-274). New York: Springer LNAI 7988.

    Vertex Unique Labelled Subgraph Mining (Conference Paper)

    Wen, Y., Coenen, F., Zito, M., & Salhi, S. (2013). Vertex Unique Labelled Subgraph Mining. In BCS-SGSI AI 20-13 (pp. TBA). Cambridge, UK: Springer.

    Vertex Unique Labelled Subgraph Mining for Vertex Label Classification (Conference Paper)

    Yu, W., Coenen, F., & Zito, M. (2013). Vertex Unique Labelled Subgraph Mining for Vertex Label Classification. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.

    2012

    Automated "Disease/No Disease" Grading of Age-Related Macular Degeneration by an Image Mining Approach (Journal article)

    Zheng, Y., Hijazi, M. H. A., & Coenen, F. (2012). Automated "Disease/No Disease" Grading of Age-Related Macular Degeneration by an Image Mining Approach. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 53(13), 8310-8318. doi:10.1167/iovs.12-9576

    DOI: 10.1167/iovs.12-9576

    An investigation into the issues of multi-agent data mining (Thesis / Dissertation)

    Albashiri, K. A., Coenen, F., & Leng, P. (2012). An investigation into the issues of multi-agent data mining.

    Volumetric Image Mining Based on Decomposition and Graph Analysis: An Application to Retinal Optical Coherence Tomography (Conference Paper)

    Albarrak, A., Coenen, F., Zheng, Y., & Yu, W. (2012). Volumetric Image Mining Based on Decomposition and Graph Analysis: An Application to Retinal Optical Coherence Tomography. In 13TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI 2012) (pp. 263-268). Retrieved from http://gateway.webofknowledge.com/

    A framework for Multi-Agent Based Clustering (Journal article)

    Chaimontree, S., Atkinson, K., & Coenen, F. (2012). A framework for Multi-Agent Based Clustering. Autonomous Agents and Multi-Agent Systems, 25(3), 425-446. doi:10.1007/s10458-011-9187-0

    DOI: 10.1007/s10458-011-9187-0

    Multi-agent based classification using argumentation from experience (Journal article)

    Wardeh, M., Coenen, F., & Bench-Capon, T. (2012). Multi-agent based classification using argumentation from experience. Autonomous Agents and Multi-Agent Systems, 25(3), 447-474. doi:10.1007/s10458-012-9197-6

    DOI: 10.1007/s10458-012-9197-6

    Identification and Visualisation of Pattern Migrations in Big Network Data (Conference Paper)

    Nohuddin, P. N. E., Coenen, F., Christley, R., & Sunayama, W. (2012). Identification and Visualisation of Pattern Migrations in Big Network Data. In Unknown Conference (pp. 883-886). Springer Berlin Heidelberg. doi:10.1007/978-3-642-32695-0_91

    DOI: 10.1007/978-3-642-32695-0_91

    Highly reliable breast cancer diagnosis with cascaded ensemble classifiers (Conference Paper)

    Yungang Zhang., Bailing Zhang., Coenenz, F., & Wenjin Lu. (2012). Highly reliable breast cancer diagnosis with cascaded ensemble classifiers. In The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE. doi:10.1109/ijcnn.2012.6252547

    DOI: 10.1109/ijcnn.2012.6252547

    A Semi-Automated Approach to Building Text Summarisation Classifiers (Conference Paper)

    Garcia-Constantino, M., Coenen, F., Noble, P. -J., Radford, A., & Setzkorn, C. (2012). A Semi-Automated Approach to Building Text Summarisation Classifiers. In Unknown Conference (pp. 495-509). Springer Berlin Heidelberg. doi:10.1007/978-3-642-31537-4_39

    DOI: 10.1007/978-3-642-31537-4_39

    Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming (Conference Paper)

    Khan, M. S., Coenen, F., Dixon, C., & El-Salhi, S. (2012). Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming. In Unknown Conference (pp. 366-379). Springer Berlin Heidelberg. doi:10.1007/978-3-642-31537-4_29

    DOI: 10.1007/978-3-642-31537-4_29

    Data mining techniques for the screening of age-related macular degeneration (Journal article)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Data mining techniques for the screening of age-related macular degeneration. KNOWLEDGE-BASED SYSTEMS, 29, 83-92. doi:10.1016/j.knosys.2011.07.002

    DOI: 10.1016/j.knosys.2011.07.002

    Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps (Journal article)

    Nohuddin, P. N. E., Coenen, F., Christley, R., Setzkorn, C., Patel, Y., & Williams, S. (2012). Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps. KNOWLEDGE-BASED SYSTEMS, 29, 104-113. doi:10.1016/j.knosys.2011.07.003

    DOI: 10.1016/j.knosys.2011.07.003

    Finding “interesting” trends in social networks using frequent pattern mining and self organizing maps (Journal article)

    Nohuddin, P. N. E., Coenen, F., Christley, R., Setzkorn, C., Patel, Y., & Williams, S. (2012). Finding “interesting” trends in social networks using frequent pattern mining and self organizing maps. Knowledge-Based Systems, 29, 104-113. doi:10.1016/j.knosys.2011.07.003

    DOI: 10.1016/j.knosys.2011.07.003

    PISA: A framework for multiagent classification using argumentation (Journal article)

    Wardeh, M., Coenen, F., & Capon, T. B. (2012). PISA: A framework for multiagent classification using argumentation. Data & Knowledge Engineering, 75, 34-57. doi:10.1016/j.datak.2012.03.001

    DOI: 10.1016/j.datak.2012.03.001

    A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents (Conference Paper)

    Chaimontree, S., Atkinson, K., & Coenen, F. (2012). A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents. In Unknown Conference (pp. 16-29). Springer Berlin Heidelberg. doi:10.1007/978-3-642-27609-5_3

    DOI: 10.1007/978-3-642-27609-5_3

    A Semi-Automated Approach to Building Text Summarisation Classifiers (Journal article)

    Garcia-Constantino, M., Coenen, F., Noble, P. -J., & Radford, A. (2012). A Semi-Automated Approach to Building Text Summarisation Classifiers. Journal of Theoretical and Applied Computer Science.

    Classification Based 3-D Surface Analysis: Predicting Springback in Sheet Metal Forming (Journal article)

    Khan, M. S., Coenen, F., Dixon, C., & El-Salhi, S. (2012). Classification Based 3-D Surface Analysis: Predicting Springback in Sheet Metal Forming. Journal of Theoretical and Applied Computer Science, 6(2), 45-59.

    Identification of Correlations Between 3D Surfaces Using Data Mining Techniques: Predicting Springback in Sheet Metal Forming (Conference Paper)

    El-Salhi, S., Coenen, F., Dixon, C., & Khan, M. S. (2012). Identification of Correlations Between 3D Surfaces Using Data Mining Techniques: Predicting Springback in Sheet Metal Forming. In Unknown Conference (pp. 391-404). Springer London. doi:10.1007/978-1-4471-4739-8_30

    DOI: 10.1007/978-1-4471-4739-8_30

    Image Mining Approaches for The Screening of Age-Related Macular Degeneration (Chapter)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Image Mining Approaches for The Screening of Age-Related Macular Degeneration. In Data Mining (Working Title) (pp. TBA). Hauppauge (NY), USA: Nova Sciences Publishers Inc..

    Image mining approaches for the screening of age-related macular degeneration (Chapter)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Image mining approaches for the screening of age-related macular degeneration. In Retinopathy: New Research (pp. 101-142).

    Questionnaire Free Text Summarisation Using Hierarchical Classification (Conference Paper)

    Garcia-Constantino, M., Coenen, F., Noble, P. -J., & Radford, A. (2012). Questionnaire Free Text Summarisation Using Hierarchical Classification. In Unknown Conference (pp. 35-48). Springer London. doi:10.1007/978-1-4471-4739-8_3

    DOI: 10.1007/978-1-4471-4739-8_3

    Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization (Chapter)

    Elsayed, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2012). Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization. In A. Karahoca (Ed.), Data Mining Applications in Engineering and Medicine (pp. 225-248). Slavka Krautzeka, Croatia: InTech - Open Science.

    Towards The Collection of Census Data From Satellite Imagery Using Data Mining: A Study With Respect to the Ethiopian Hinterland (Conference Paper)

    Dittakan, K., Coenen, F., & Christley, R. (2012). Towards The Collection of Census Data From Satellite Imagery Using Data Mining: A Study With Respect to the Ethiopian Hinterland. In Unknown Conference (pp. 405-418). Springer London. doi:10.1007/978-1-4471-4739-8_31

    DOI: 10.1007/978-1-4471-4739-8_31

    2011

    Time Series Case Based Reasoning for Image Categorisation (Conference Paper)

    Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2011). Time Series Case Based Reasoning for Image Categorisation. In CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2011 Vol. 6880 (pp. 423-+). Retrieved from http://gateway.webofknowledge.com/

    Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining (Conference Paper)

    Hijazi, M. H. A., Jiang, C., Coenen, F., & Zheng, Y. (2011). Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II Vol. 6912 (pp. 65-80). Retrieved from http://gateway.webofknowledge.com/

    An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data (Conference Paper)

    Garcia-Constantino, M., Coenen, F., Noble, P. -J., Radford, A., Setzkorn, C., & Tierney, A. (2011). An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data. In Unknown Conference (pp. 387-398). Springer Berlin Heidelberg. doi:10.1007/978-3-642-23199-5_29

    DOI: 10.1007/978-3-642-23199-5_29

    Incremental Web-Site Boundary Detection Using Random Walks (Conference Paper)

    Alshukri, A., Coenen, F., & Zito, M. (2011). Incremental Web-Site Boundary Detection Using Random Walks. In Unknown Conference (pp. 414-427). Springer Berlin Heidelberg. doi:10.1007/978-3-642-23199-5_31

    DOI: 10.1007/978-3-642-23199-5_31

    Finding Associations in Composite Data Sets (Journal article)

    Khan, M. S., Muyeba, M., Coenen, F., Reid, D., & Tawfik, H. (2011). Finding Associations in Composite Data Sets. International Journal of Data Warehousing and Mining, 7(3), 1-29. doi:10.4018/jdwm.2011070101

    DOI: 10.4018/jdwm.2011070101

    Arguing from experience using multiple groups of agents (Journal article)

    Wardeh, M., Bench-Capon, T., & Coenen, F. (2011). Arguing from experience using multiple groups of agents. Argument & Computation, 2(1), 51-76. doi:10.1080/19462166.2010.528176

    DOI: 10.1080/19462166.2010.528176

    Data mining: past, present and future (Journal article)

    Coenen, F. (n.d.). Data mining: past, present and future. The Knowledge Engineering Review, 26(1), 25-29. doi:10.1017/s0269888910000378

    DOI: 10.1017/s0269888910000378

    A Comparative Study of Using CARM Approaches in Mesenchymal Stem Cell Differentiation Analysis (Chapter)

    Wang, W., Wang, Y., Bañares-Alcántara, R., Cui, Z., & Coenen, F. P. (2011). A Comparative Study of Using CARM Approaches in Mesenchymal Stem Cell Differentiation Analysis. In A. V. Kumar Senthil (Ed.), Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains (pp. 223-243). Hershey (PA), USA: IGI Global.

    A multi-agent based approach to clustering: Harnessing the power of agents (Conference Paper)

    Chaimontree, S., Atkinson, K., & Coenen, F. (2011). A multi-agent based approach to clustering: Harnessing the power of agents. In Seventh International Workshop on Agents and Data Mining Interaction (pp. 103-114). Taiwan: Springer LNCS 5980.

    Automated grading of age-related macular degeneration by an image mining approach (Conference Paper)

    Zheng, Y., Hijazi, M. H. A., & Coenen, F. (2011). Automated grading of age-related macular degeneration by an image mining approach. In Inv Ophth Vis Sci Vol. 52 (pp. 6568).

    Classification of MRI Brain Scan Data Using Shape Criteria (Journal article)

    Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2011). Classification of MRI Brain Scan Data Using Shape Criteria. Annals of the British Machine Vision Association (BMVA), 2011(6), 1-14. Retrieved from http://www.bmva.org/annals/2011/2011-0006.pdf

    Finding Associations in Composite Data Sets: The CFARM Algorithm (Journal article)

    Khan, M. S., Muyeba, M. K., Coenen, F., Reid, D., & Tawfik, H. (2011). Finding Associations in Composite Data Sets: The CFARM Algorithm. Journal of Data Warehousing and Mining, 7(31), 1-29.

    Identifying Age-related Macular Degeneration In Volumetric Retinal Images. (Conference Paper)

    Albarrak, A., Coenen, F., & Zheng, Y. (2011). Identifying Age-related Macular Degeneration In Volumetric Retinal Images.. In Ophthalmic Image Analysis Workshop (pp. 53-58). Liverpool: University of Liverpool.

    Multi-agent Based Classification Using Argumentation from Experience (Conference Paper)

    Wardeh, M., Coenen, F., Bench-Capon, T., & Wyner, A. (2011). Multi-agent Based Classification Using Argumentation from Experience. In Unknown Conference (pp. 357-369). Springer Berlin Heidelberg. doi:10.1007/978-3-642-20847-8_30

    DOI: 10.1007/978-3-642-20847-8_30

    Retinal image classification for the screening of age-related macular degeneration (Conference Paper)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2011). Retinal image classification for the screening of age-related macular degeneration. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 325-338). doi:10.1007/978-0-85729-130-1_25

    DOI: 10.1007/978-0-85729-130-1_25

    Rule Learning with Negation for Text Classification (Conference Paper)

    Chua, S., Coenen, F., & Malcom, G. (2011). Rule Learning with Negation for Text Classification. In MLDM 2011 poster proceedings (pp. 1-14). New York: ibai-publisging.

    SOMA: A proposed framework for trend mining in large UK diabetic retinopathy temporal databases (Conference Paper)

    Somaraki, V., Harding, S., Broadbent, D., & Coenen, F. (2011). SOMA: A proposed framework for trend mining in large UK diabetic retinopathy temporal databases. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 285-290). doi:10.1007/978-0-85729-130-1_22

    DOI: 10.1007/978-0-85729-130-1_22

    Social network trend analysis using frequent pattern mining and self organizing maps (Conference Paper)

    Nohuddin, P. N. E., Christley, R., Coenen, F., Patel, Y., Setzkorn, C., & Williams, S. (2011). Social network trend analysis using frequent pattern mining and self organizing maps. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 311-324). doi:10.1007/978-0-85729-130-1_24

    DOI: 10.1007/978-0-85729-130-1_24

    The Application of AI Techniques to Deformation in Metal Manufacturing (Conference Paper)

    Dixon, C., Coenen, F., & Khan, M. (2011). The Application of AI Techniques to Deformation in Metal Manufacturing. In WAR (pp. 17-18). Glasgow: University of Glasgow.

    Towards large-scale multi-agent based rodent simulation: The "mice in a box" scenario (Conference Paper)

    Agiriga, E., Coenen, F., Hurst, J., Beynon, R., & Kowalski, D. (2011). Towards large-scale multi-agent based rodent simulation: The "mice in a box" scenario. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 369-382). doi:10.1007/978-1-4471-2318-7_28

    DOI: 10.1007/978-1-4471-2318-7_28

    Trend mining and visualisation in social networks (Conference Paper)

    Nohuddin, P. N. E., Sunayama, W., Christley, R., Coenen, F., & Setzkorn, C. (2011). Trend mining and visualisation in social networks. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 269-282). doi:10.1007/978-1-4471-2318-7_21

    DOI: 10.1007/978-1-4471-2318-7_21

    Using Negation and Phrases in Inducing Rules for Text Classification (Conference Paper)

    Chua, S., Coenen, F., Malcolm, G., Fernando, M., & Constantino, G. (2011). Using Negation and Phrases in Inducing Rules for Text Classification. In Unknown Conference (pp. 153-166). Springer London. doi:10.1007/978-1-4471-2318-7_11

    DOI: 10.1007/978-1-4471-2318-7_11

    Web-site boundary detection using incremental randomwalk clustering (Conference Paper)

    Alshukri, A., Coenen, F., & Zito, M. (2011). Web-site boundary detection using incremental randomwalk clustering. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 255-268). doi:10.1007/978-1-4471-2318-7_20

    DOI: 10.1007/978-1-4471-2318-7_20

    2010

    Multi-Party Argument from Experience (Conference Paper)

    Wardeh, M., Bench-Capon, T., & Coenen, F. (2010). Multi-Party Argument from Experience. In Unknown Conference (pp. 216-235). Springer Berlin Heidelberg. doi:10.1007/978-3-642-12805-9_13

    DOI: 10.1007/978-3-642-12805-9_13

    Best Clustering Configuration Metrics: Towards Multiagent Based Clustering (Conference Paper)

    Chaimontree, S., Atkinson, K., & Coenen, F. (2010). Best Clustering Configuration Metrics: Towards Multiagent Based Clustering. In Unknown Conference (pp. 48-59). Springer Berlin Heidelberg. doi:10.1007/978-3-642-17316-5_5

    DOI: 10.1007/978-3-642-17316-5_5

    Classification Inductive Rule Learning with Negated Features (Conference Paper)

    Chua, S., Coenen, F., & Malcolm, G. (2010). Classification Inductive Rule Learning with Negated Features. In Unknown Conference (pp. 125-136). Springer Berlin Heidelberg. doi:10.1007/978-3-642-17316-5_12

    DOI: 10.1007/978-3-642-17316-5_12

    Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach (Conference Paper)

    Jiang, C., Coenen, F., & Zito, M. (2010). Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach. In ADVANCED DATA MINING AND APPLICATIONS, ADMA 2010, PT I Vol. 6440 (pp. 405-416). Retrieved from http://gateway.webofknowledge.com/

    Frequent Pattern Trend Analysis in Social Networks (Conference Paper)

    Nohuddin, P. N. E., Christley, R., Coenen, F., Patel, Y., Setzkorn, C., & Williams, S. (2010). Frequent Pattern Trend Analysis in Social Networks. In ADVANCED DATA MINING AND APPLICATIONS, ADMA 2010, PT I Vol. 6440 (pp. 358-369). Retrieved from http://gateway.webofknowledge.com/

    An association rule-based CLIPS program for interactive prediction of MSC differentiation in vitro (Conference Paper)

    Wang, W., Banares-Alcantara, R., Cui, Z., Wang, Y. J., & Coenen, F. (2010). An association rule-based CLIPS program for interactive prediction of MSC differentiation in vitro. In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE. doi:10.1109/iccasm.2010.5620726

    DOI: 10.1109/iccasm.2010.5620726

    Region of Interest Based Image Classification using time series analysis (Conference Paper)

    Elsayed, A., Coenen, F., Garcia-Finana, M., & Sluming, V. (2010). Region of Interest Based Image Classification using time series analysis. In The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE. doi:10.1109/ijcnn.2010.5596324

    DOI: 10.1109/ijcnn.2010.5596324

    Retinal Image Classification using a Histogram Based Approach (Conference Paper)

    Hijazi, M. H. A., Coenen, F., Zheng, Y., & IEEE. (2010). Retinal Image Classification using a Histogram Based Approach. In 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010. Retrieved from http://gateway.webofknowledge.com/

    Frequent Sub-graph Mining on Edge Weighted Graphs (Conference Paper)

    Jiang, C., Coenen, F., & Zito, M. (2010). Frequent Sub-graph Mining on Edge Weighted Graphs. In DATA WAREHOUSING AND KNOWLEDGE DISCOVERY Vol. 6263 (pp. 77-88). Retrieved from http://gateway.webofknowledge.com/

    Region of Interest Based Image Categorization (Chapter)

    Elsayed, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2010). Region of Interest Based Image Categorization. In Data Warehousing and Knowledge Discovery (pp. 239-250). Springer Berlin Heidelberg. doi:10.1007/978-3-642-15105-7_19

    DOI: 10.1007/978-3-642-15105-7_19

    Clustering in a Multi-Agent Data Mining Environment (Conference Paper)

    Chaimontree, S., Atkinson, K., & Coenen, F. (2010). Clustering in a Multi-Agent Data Mining Environment. In Unknown Conference (pp. 103-114). Springer Berlin Heidelberg. doi:10.1007/978-3-642-15420-1_9

    DOI: 10.1007/978-3-642-15420-1_9

    Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy (Conference Paper)

    Somaraki, V., Broadbent, D., Coenen, F., & Harding, S. (2010). Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 418-+). Retrieved from http://gateway.webofknowledge.com/

    Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification (Conference Paper)

    Wang, Y. J., Li, F., Coenen, F., Sanderson, R., & Xin, Q. (2010). Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification. In Unknown Conference (pp. 222-236). Springer Berlin Heidelberg. doi:10.1007/978-3-642-14400-4_18

    DOI: 10.1007/978-3-642-14400-4_18

    Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data (Conference Paper)

    Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2010). Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 197-+). Retrieved from http://gateway.webofknowledge.com/

    Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining (Conference Paper)

    Chaimontree, S., Atkinson, K., & Coenen, F. (2010). Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining. In Unknown Conference (pp. 115-127). Springer Berlin Heidelberg. doi:10.1007/978-3-642-14400-4_9

    DOI: 10.1007/978-3-642-14400-4_9

    Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database (Conference Paper)

    Nohuddin, P. N. E., Christley, R., Coenen, F., & Setzkorn, C. (2010). Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 464-+). Retrieved from http://gateway.webofknowledge.com/

    Web-Site Boundary Detection (Conference Paper)

    Alshukri, A., Coenen, F., & Zito, M. (2010). Web-Site Boundary Detection. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 529-543). Retrieved from http://gateway.webofknowledge.com/

    A sliding windows based dual support framework for discovering emerging trends from temporal data (Journal article)

    Khan, M. S., Coenen, F., Reid, D., Patel, R., & Archer, L. (2010). A sliding windows based dual support framework for discovering emerging trends from temporal data. Knowledge-Based Systems, 23(4), 316-322. doi:10.1016/j.knosys.2009.11.005

    DOI: 10.1016/j.knosys.2009.11.005

    Corpus callosum MR image classification (Journal article)

    Elsayed, A., Coenen, F., Jiang, C., García-Fiñana, M., & Sluming, V. (2010). Corpus callosum MR image classification. Knowledge-Based Systems, 23(4), 330-336. doi:10.1016/j.knosys.2009.11.008

    DOI: 10.1016/j.knosys.2009.11.008

    Text classification using graph mining-based feature extraction (Journal article)

    Jiang, C., Coenen, F., Sanderson, R., & Zito, M. (2010). Text classification using graph mining-based feature extraction. KNOWLEDGE-BASED SYSTEMS, 23(4), 302-308. doi:10.1016/j.knosys.2009.11.010

    DOI: 10.1016/j.knosys.2009.11.010

    A Sliding Windows based Dual Support Framework for Discovering Emerging Trends from Temporal Data (Conference Paper)

    Khan, M. S., Coenen, F., Reid, D., Patel, R., & Archer, L. (2010). A Sliding Windows based Dual Support Framework for Discovering Emerging Trends from Temporal Data. In Unknown Conference (pp. 35-48). Springer London. doi:10.1007/978-1-84882-983-1_3

    DOI: 10.1007/978-1-84882-983-1_3

    Arguing in groups (Conference Paper)

    Wardeh, M., Coenen, F., & Bench-Capon, T. (2010). Arguing in groups. In Frontiers in Artificial Intelligence and Applications Vol. 216 (pp. 475-486). doi:10.3233/978-1-60750-619-5-475

    DOI: 10.3233/978-1-60750-619-5-475

    Corpus Callosum MR Image Classification (Conference Paper)

    Elsayed, A., Coenen, F., Jiang, C., García-Fiñana, M., & Sluming, V. (2010). Corpus Callosum MR Image Classification. In Unknown Conference (pp. 333-346). Springer London. doi:10.1007/978-1-84882-983-1_27

    DOI: 10.1007/978-1-84882-983-1_27

    Detecting temporal pattern and cluster changes in social networks: A study focusing UK cattle movement database (Conference Paper)

    Nohuddin, P. N. E., Coenen, F., Christley, R., & Setzkorn, C. (2010). Detecting temporal pattern and cluster changes in social networks: A study focusing UK cattle movement database. In IFIP Advances in Information and Communication Technology Vol. 340 AICT (pp. 163-172). doi:10.1007/978-3-642-16327-2_22

    DOI: 10.1007/978-3-642-16327-2_22

    Image categorisation using time series case based reasoning (Conference Paper)

    Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2010). Image categorisation using time series case based reasoning. In UKCBR10 (pp. 2-11). Cambridge: BCS-SGAI.

    Rule Learning with Negation: Issues Regarding Effectiveness (Conference Paper)

    Chua, S., Coenen, F., & Malcolm, G. (2010). Rule Learning with Negation: Issues Regarding Effectiveness. In Unknown Conference (pp. 193-202). Springer Berlin Heidelberg. doi:10.1007/978-3-642-16327-2_25

    DOI: 10.1007/978-3-642-16327-2_25

    Text classification using graph mining-based feature extraction (Conference Paper)

    Jiang, C., Coenen, F., Sanderson, R., & Zito, M. (2010). Text classification using graph mining-based feature extraction. In Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII (pp. 21-34). doi:10.1007/978-1-84882-983-1_2

    DOI: 10.1007/978-1-84882-983-1_2

    Trend Mining in Logitudinal Diabetic Retinopathy Data (Conference Paper)

    Somaraki, V., Broadbent, D., Coenen, F. P., & Harding, S. (2010). Trend Mining in Logitudinal Diabetic Retinopathy Data. In BCS SGAI conference on AI (pp. 285-290). UK: Springer.

    2009

    Analysis of mesenchymal stem cell differentiation in vitro using classification association rule mining. (Journal article)

    Wang, W., Wang, Y. J., Bañares-Alcántara, R., Coenen, F., & Cui, Z. (2009). Analysis of mesenchymal stem cell differentiation in vitro using classification association rule mining.. Journal of bioinformatics and computational biology, 7(6), 905-930. doi:10.1142/s0219720009004424

    DOI: 10.1142/s0219720009004424

    Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation (Conference Paper)

    Wang, W., Wang, Y. J., Bañares-Alcántara, R., Cui, Z., & Coenen, F. (2009). Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation. In Unknown Conference (pp. 51-61). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03067-3_6

    DOI: 10.1007/978-3-642-03067-3_6

    Effective Mining of Weighted Fuzzy Association Rules (Chapter)

    Muyeba, M., Khan, M. S., & Coenen, F. (2010). Effective Mining of Weighted Fuzzy Association Rules. In Rare Association Rule Mining and Knowledge Discovery (pp. 47-64). IGI Global. doi:10.4018/978-1-60566-754-6.ch004

    DOI: 10.4018/978-1-60566-754-6.ch004

    Integrating Data Mining and Agent Based Modeling and Simulation (Conference Paper)

    Baqueiro, O., Wang, Y. J., McBurney, P., & Coenen, F. (2009). Integrating Data Mining and Agent Based Modeling and Simulation. In Unknown Conference (pp. 220-231). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03067-3_18

    DOI: 10.1007/978-3-642-03067-3_18

    The EMADS Extendible Multi-Agent Data Mining Framework (Chapter)

    Albashiri, K. A., & Coenen, F. (2009). The EMADS Extendible Multi-Agent Data Mining Framework. In Data Mining and Multi-agent Integration (pp. 189-200). Springer US. doi:10.1007/978-1-4419-0522-2_13

    DOI: 10.1007/978-1-4419-0522-2_13

    A Generic and Extendible Multi-Agent Data Mining Framework (Conference Paper)

    Albashiri, K. A., & Coenen, F. (2009). A Generic and Extendible Multi-Agent Data Mining Framework. In Unknown Conference (pp. 203-210). Springer Berlin Heidelberg. doi:10.1007/978-3-642-02319-4_24

    DOI: 10.1007/978-3-642-02319-4_24

    A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification (Conference Paper)

    Wang, Y. J., Coenen, F., & Sanderson, R. (2009). A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification. In Unknown Conference (pp. 338-349). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03348-3_33

    DOI: 10.1007/978-3-642-03348-3_33

    EMADS: An extendible multi-agent data miner (Journal article)

    Albashiri, K. A., Coenen, F., & Leng, P. (2009). EMADS: An extendible multi-agent data miner. Knowledge-Based Systems, 22(7), 523-528. doi:10.1016/j.knosys.2008.10.009

    DOI: 10.1016/j.knosys.2008.10.009

    Arguing from Experience to Classifying Noisy Data (Conference Paper)

    Wardeh, M., Coenen, F., & Bench-Capon, T. (2009). Arguing from Experience to Classifying Noisy Data. In Unknown Conference (pp. 354-365). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03730-6_28

    DOI: 10.1007/978-3-642-03730-6_28

    Agent-Enriched Data Mining Using an Extendable Framework (Conference Paper)

    Albashiri, K. A., & Coenen, F. (2009). Agent-Enriched Data Mining Using an Extendable Framework. In Unknown Conference (pp. 53-68). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03603-3_5

    DOI: 10.1007/978-3-642-03603-3_5

    PADUA: a protocol for argumentation dialogue using association rules (Journal article)

    Wardeh, M., Bench-Capon, T., & Coenen, F. (2009). PADUA: a protocol for argumentation dialogue using association rules. Artificial Intelligence and Law, 17(3), 183-215. doi:10.1007/s10506-009-9078-8

    DOI: 10.1007/s10506-009-9078-8

    Improved methods for extracting frequent itemsets from interim-support trees (Journal article)

    Coenen, F., Leng, P., Pagourtzis, A., Rytter, W., & Souliou, D. (2009). Improved methods for extracting frequent itemsets from interim-support trees. Software: Practice and Experience, 39(6), 551-571. doi:10.1002/spe.902

    DOI: 10.1002/spe.902

    A Framework for Mining Fuzzy Association Rules from Composite Items (Conference Paper)

    Muyeba, M., Khan, M. S., & Coenen, F. (2009). A Framework for Mining Fuzzy Association Rules from Composite Items. In Unknown Conference (pp. 62-74). Springer Berlin Heidelberg. doi:10.1007/978-3-642-00399-8_6

    DOI: 10.1007/978-3-642-00399-8_6

    A Histogram Based Approach to Screening of Age-related Macular Degeneration (Conference Paper)

    Hijazi, M. H. A., Coenen, F. P., & Zheng, Y. (2009). A Histogram Based Approach to Screening of Age-related Macular Degeneration. In MIUA'09 (pp. 54-158). Warwick: MIUA.

    Agent-Enriched Data Mining Using an Extendable Framework (Conference Paper)

    Albashiri, K. A., & Coenen, F. P. (2009). Agent-Enriched Data Mining Using an Extendable Framework. In ADMI (pp. 89-106). Budapest: AAMAS.

    An investigation into the issues of Multi-Agent Data Mining (Chapter)

    Albashiri, K. A., & Coenen, F. P. (2009). An investigation into the issues of Multi-Agent Data Mining. In D. Bouça, & A. Gafagnão (Eds.), Agent Based Comnputing (pp. 1-85). Hauppauge, NY, USA: Nova Science Publishers.

    Construction and Application of a Public-Domain Mesenchymal Stem Cell Database (Conference Paper)

    Wang, W., Bañares-Alcántara, R., Cui, Z., Wang, Y., & Coenen, F. P. (2009). Construction and Application of a Public-Domain Mesenchymal Stem Cell Database. In ISBME'09 (pp. 78). Bangkok: IEEE.

    Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework (Conference Paper)

    Muyeba, M., Khan, M. S., & Coenen, F. (2009). Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework. In Unknown Conference (pp. 49-61). Springer Berlin Heidelberg. doi:10.1007/978-3-642-00399-8_5

    DOI: 10.1007/978-3-642-00399-8_5

    Graph-based Image Classification by Weighting Scheme (Conference Paper)

    Jiang, C., & Coenen, F. (2009). Graph-based Image Classification by Weighting Scheme. In Unknown Conference (pp. 63-76). Springer London. doi:10.1007/978-1-84882-215-3_5

    DOI: 10.1007/978-1-84882-215-3_5

    Multi-Party Argument from Experience (Conference Paper)

    Wardeh, M., Bench-Capon, T., & Coenen, F. P. (2009). Multi-Party Argument from Experience. In ARGMAS'09 (pp. 207-224). Budapest: AAMAS.

    The EMADS Extendible Multi-Agent Data Mining Framework (Chapter)

    Albashiri, K. A., & Coenen, F. P. (2009). The EMADS Extendible Multi-Agent Data Mining Framework. In L. Cao (Ed.), Data Mining and Multiagent Integration (pp. 89-200). Berlin: Springer.

    2008

    On extraction of Nutritional Patterns (NPS) using fuzzy association rule mining (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. (2008). On extraction of Nutritional Patterns (NPS) using fuzzy association rule mining. In HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings Vol. 1 (pp. 34-42).

    Measuring and Explaining the Quality of Web Sites in the (Virtual) House of Representatives (Chapter)

    Esterling, K. M., Lazer, D. M. J., & Neblo, M. A. (2007). Measuring and Explaining the Quality of Web Sites in the (Virtual) House of Representatives. In Current Issues and Trends in E-Government Research (pp. 146-162). IGI Global. doi:10.4018/978-1-59904-283-1.ch007

    DOI: 10.4018/978-1-59904-283-1.ch007

    Mining Allocating Patterns in One-Sum Weighted Items (Conference Paper)

    Wang, Y. J., Zheng, X., Coenen, F., & Li, C. Y. (2008). Mining Allocating Patterns in One-Sum Weighted Items. In 2008 IEEE International Conference on Data Mining Workshops. IEEE. doi:10.1109/icdmw.2008.112

    DOI: 10.1109/icdmw.2008.112

    A Weighted Utility Framework for Mining Association Rules (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. (2008). A Weighted Utility Framework for Mining Association Rules. In 2008 Second UKSIM European Symposium on Computer Modeling and Simulation. IEEE. doi:10.1109/ems.2008.73

    DOI: 10.1109/ems.2008.73

    Document-Base Extraction for Single-Label Text Classification (Conference Paper)

    Wang, Y. J., Sanderson, R., Coenen, F., & Leng, P. (n.d.). Document-Base Extraction for Single-Label Text Classification. In Unknown Conference (pp. 357-367). Springer Berlin Heidelberg. doi:10.1007/978-3-540-85836-2_34

    DOI: 10.1007/978-3-540-85836-2_34

    Mining Efficiently Significant Classification Association Rules (Journal article)

    Wang, Y. J., Xin, Q., & Coenen, F. (2008). Mining Efficiently Significant Classification Association Rules. Unknown Journal, 443-467. doi:10.1007/978-3-540-78488-3_26

    DOI: 10.1007/978-3-540-78488-3_26

    Weighted Association Rule Mining from Binary and Fuzzy Data (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. (n.d.). Weighted Association Rule Mining from Binary and Fuzzy Data. In Unknown Conference (pp. 200-212). Springer Berlin Heidelberg. doi:10.1007/978-3-540-70720-2_16

    DOI: 10.1007/978-3-540-70720-2_16

    Agent Based Frequent Set Meta Mining: Introducing EMADS (Conference Paper)

    Albashiri, K. A., Coenen, F., & Leng, P. (n.d.). Agent Based Frequent Set Meta Mining: Introducing EMADS. In Unknown Conference (pp. 23-32). Springer US. doi:10.1007/978-0-387-09695-7_3

    DOI: 10.1007/978-0-387-09695-7_3

    Mining Fuzzy Association Rules from Composite Items (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. (n.d.). Mining Fuzzy Association Rules from Composite Items. In Unknown Conference (pp. 67-76). Springer US. doi:10.1007/978-0-387-09695-7_7

    DOI: 10.1007/978-0-387-09695-7_7

    A Framework for Mining Fuzzy Association Rules from Composite Items", Algorithms for (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. P. (2008). A Framework for Mining Fuzzy Association Rules from Composite Items", Algorithms for. In ASLIP'08 (pp. 65-77). Osaka: PAKDD.

    Argument based moderation of benefit assessment (Conference Paper)

    Wardeh, M., Bench-Capon, T. J. M., & Coenen, F. (2008). Argument based moderation of benefit assessment. In Frontiers in Artificial Intelligence and Applications Vol. 189 (pp. 128-137). doi:10.3233/978-1-58603-952-3-128

    DOI: 10.3233/978-1-58603-952-3-128

    Arguments from experience: The PADUA protocol (Conference Paper)

    Wardeh, M., Bench-Capon, T., & Coenen, F. (2008). Arguments from experience: The PADUA protocol. In Frontiers in Artificial Intelligence and Applications Vol. 172 (pp. 405-416).

    EMADS: An Extendible Multi-Agent Data Miner (Conference Paper)

    Albashiri, K. A., Coenen, F., & Leng, P. (2008). EMADS: An Extendible Multi-Agent Data Miner. In AI'08 (pp. 263-276). Cambridge: Springer.

    Efficiently Mining Significant Classification Association Rules (Chapter)

    Wang, Y. J., Xin, Q., & Coenen, F. P. (2008). Efficiently Mining Significant Classification Association Rules. In T. Y. Lin, A. Wasilewska, F. Petry, & Y. Xie (Eds.), Data Mining: Foundations and Practice (pp. 443-468). Heidelberg: Springer.

    Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. P. (2008). Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework. In ASLIP'08 (pp. 53-64). Osaka: PAKDD.

    Hybrid Rule Ordering in Classification Association Rule Mining (Journal article)

    Wang, Y. J., Xin, Q., & Coenen, F. P. (2008). Hybrid Rule Ordering in Classification Association Rule Mining. Transactions on Machine Learning and Data Mining in Pattern Recognition, 1-16.

    Mining fuzzy association rules from composite items (Conference Paper)

    Sulaiman Khan, M., Muyeba, M., & Coenen, F. (2008). Mining fuzzy association rules from composite items. In IFIP Advances in Information and Communication Technology Vol. 276 (pp. 67-76).

    PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience. (Conference Paper)

    Wardeh, M., Bench-Capon, T. J. M., & Coenen, F. (2008). PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience.. In M. Bramer, M. Petridis, & F. Coenen (Eds.), SGAI Conf. (pp. 133-146). Springer. Retrieved from https://doi.org/10.1007/978-1-84882-171-2

    Research and Development in Intelligent Systems XXV (Conference Paper)

    Bramer, M., Coenen, F. P., & Petridis, M. (Eds.) (2008). Research and Development in Intelligent Systems XXV. In AI'2008 (pp. 300). Cambridge: Springer.

    The PADUA Protocol (Conference Paper)

    Wardeh, M., Bench-Capon, T., & Coenen, F. (2008). The PADUA Protocol. In COMMA 2008 (pp. 405-416). Toulouse: IOS Press.

    2007

    A Novel Rule Weighting Approach in Classification Association Rule Mining (Conference Paper)

    Wang, Y. J., Xin, Q., & Coenen, F. (2007). A Novel Rule Weighting Approach in Classification Association Rule Mining. In Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007). IEEE. doi:10.1109/icdmw.2007.126

    DOI: 10.1109/icdmw.2007.126

    The effect of threshold values on association rule based classification accuracy (Journal article)

    Coenen, F., & Leng, P. (2007). The effect of threshold values on association rule based classification accuracy. Data & Knowledge Engineering, 60(2), 345-360. doi:10.1016/j.datak.2006.02.005

    DOI: 10.1016/j.datak.2006.02.005

    'A Novel Rule Weighting Approach in Classification Association Rule Mining' (Conference Paper)

    Wang, J., Xin, Q., & Coenen, F. P. (2007). 'A Novel Rule Weighting Approach in Classification Association Rule Mining'. In ICSM'07 Workshop (pp. x). Nebraska, USA: IEEE.

    'Association Rule Mining in The Wider Context of Text, Images and Graphs.' (Journal article)

    Coenen, F. (2007). 'Association Rule Mining in The Wider Context of Text, Images and Graphs.'. Expert Upda, 9(3), 5-9.

    A Novel Rule Ordering Approach in Classification Association Rule Mining (Conference Paper)

    Wang, Y. J., Xin, Q., & Coenen, F. (n.d.). A Novel Rule Ordering Approach in Classification Association Rule Mining. In Unknown Conference (pp. 339-348). Springer Berlin Heidelberg. doi:10.1007/978-3-540-73499-4_26

    DOI: 10.1007/978-3-540-73499-4_26

    An effective fuzzy health rule mining algorithm. (Conference Paper)

    Khan, M. S., Muyeba, M., Tjortjis, C., & Coenen, F. P. (2007). An effective fuzzy health rule mining algorithm.. In Proc. 7th Annual Workshop on Computational Intelligence (pp. xx). Aberdeen: University of Aberdeen.

    Association Rule Mining in The Wider Context of Text, Images and Graphs. (Conference Paper)

    Coenen, F. P. (2007). Association Rule Mining in The Wider Context of Text, Images and Graphs.. In UKKDD'7 (pp. 1-6). Canterbury: University of Kent.

    Dynamic Rule Mining for Argumentation Based Systems. (Conference Paper)

    Wardeh, M., Bench-Capon, T. J. M., & Coenen, F. (2007). Dynamic Rule Mining for Argumentation Based Systems.. In M. Bramer, F. Coenen, & M. Petridis (Eds.), SGAI Conf. (pp. 65-78). Springer. Retrieved from https://doi.org/10.1007/978-1-84800-094-0

    Frequent Set Meta Mining: Towards Multi-Agent Data Mining. (Conference Paper)

    Albashiri, K. A., Coenen, F. P., Sanderson, R., & Leng, P. (2007). Frequent Set Meta Mining: Towards Multi-Agent Data Mining.. In M. Bramer, F. P. Coenen, & M. Petridis (Eds.), AI (pp. 139-151). Cambridge: Springeer.

    PADUA Protocol: Strategies and Tactics (Conference Paper)

    Wardeh, M., Bench-Capon, T., & Coenen, F. (2007). PADUA Protocol: Strategies and Tactics. In Unknown Conference (pp. 465-476). Springer Berlin Heidelberg. doi:10.1007/978-3-540-75256-1_42

    DOI: 10.1007/978-3-540-75256-1_42

    Research and Development in Intelligent Systems XXIV (Conference Paper)

    Bramer, M., Coenen, F. P., & Petridis, M. (Eds.) (2007). Research and Development in Intelligent Systems XXIV. In AI'2007 (pp. 200). London: Springer.

    Statistical Identification of Key Phrases for Text Classification (Conference Paper)

    Coenen, F., Leng, P., Sanderson, R., & Wang, Y. J. (n.d.). Statistical Identification of Key Phrases for Text Classification. In Unknown Conference (pp. 838-853). Springer Berlin Heidelberg. doi:10.1007/978-3-540-73499-4_63

    DOI: 10.1007/978-3-540-73499-4_63

    Text Classification using Language-independent Pre-processing (Conference Paper)

    Wang, Y. J., Coenen, F., Leng, P., & Sanderson, R. (2007). Text Classification using Language-independent Pre-processing. In Unknown Conference (pp. 413-417). Springer London. doi:10.1007/978-1-84628-663-6_34

    DOI: 10.1007/978-1-84628-663-6_34

    2006

    Towards an Agent-Based Framework for Online After-Sale Services (Conference Paper)

    Lu Zhang., Coenen, F., Huang, W., & Leng, P. (2006). Towards an Agent-Based Framework for Online After-Sale Services. In 2006 3rd International IEEE Conference Intelligent Systems. IEEE. doi:10.1109/is.2006.348456

    DOI: 10.1109/is.2006.348456

    Tree-based partitioning of date for association rule mining (Journal article)

    Ahmed, S., Coenen, F., & Leng, P. (2006). Tree-based partitioning of date for association rule mining. Knowledge and Information Systems, 10(3), 315-331. doi:10.1007/s10115-006-0010-1

    DOI: 10.1007/s10115-006-0010-1

    The Knowledge Bazaar (Journal article)

    Craker, B., & Coenen, F. (2006). The Knowledge Bazaar. Knowledge-Based Systems, 19(5), 341-347. doi:10.1016/j.knosys.2005.11.019

    DOI: 10.1016/j.knosys.2005.11.019

    Partitioning strategies for distributed association rule mining (Journal article)

    COENEN, F., & LENG, P. (2006). Partitioning strategies for distributed association rule mining. The Knowledge Engineering Review, 21(1), 25-47. doi:10.1017/s0269888906000786

    DOI: 10.1017/s0269888906000786

    Improved Methods for Extracting Frequent Itemsets from Interim-Support Trees (Conference Paper)

    Coenen, F., Leng, P., Pagourtzis, A., Rytter, W., & Souliou, D. (2006). Improved Methods for Extracting Frequent Itemsets from Interim-Support Trees. In Unknown Conference (pp. 263-276). Springer London. doi:10.1007/978-1-84628-226-3_20

    DOI: 10.1007/978-1-84628-226-3_20

    Research and Development in Intelligent Systems XXIII (Conference Paper)

    Bramer, M., Coenen, F., & Tueson, A. (Eds.) (2006). Research and Development in Intelligent Systems XXIII. In AI'2006 (pp. 419). London: Springer..

    Towards an Agent-Based Framework for Online After-Sale Services. (Conference Paper)

    Zhang, L., Coenen, F. P., Huang, W., & Leng, P. H. (2006). Towards an Agent-Based Framework for Online After-Sale Services.. In IEEE Conference On Intelligent Systems (pp. 06EX1304C). London: IEEE.

    2005

    Obtaining Best Parameter Values for Accurate Classification (Conference Paper)

    Coenen, F., & Leng, P. (n.d.). Obtaining Best Parameter Values for Accurate Classification. In Fifth IEEE International Conference on Data Mining (ICDM'05). IEEE. doi:10.1109/icdm.2005.105

    DOI: 10.1109/icdm.2005.105

    'Selection of Significant Rules in Classification Association Rule Mining' (Conference Paper)

    Wang, Y. J., Qin, X., & Coenen, F. (2005). 'Selection of Significant Rules in Classification Association Rule Mining'. In ICDM 2005 (pp. 106-108). Houston: Saint Mary's University, Halifax, Canada.

    'The Knowledge Bazaar' (Conference Paper)

    Craker, B., & Coenen, F. (2005). 'The Knowledge Bazaar'. In AI 2005 (pp. 37-49). Cambridge: Springer.

    Proceedings 25th BCS-SGAI AI Conference: Research and Development in Intelligent Systems XXII (Conference Paper)

    Bramer, M., Coenen, F., & Allen, T. (Eds.) (2005). Proceedings 25th BCS-SGAI AI Conference: Research and Development in Intelligent Systems XXII. In AI'2005 (pp. 9999). London: Springer.

    Proceedings of the first UK Knowledge Discovery in Data Symposium (Conference Paper)

    Coenen, F. (Ed.) (2005). Proceedings of the first UK Knowledge Discovery in Data Symposium. In UKKDD'05 (pp. 9999). Liverpool: Dept of Computer Science, University of Liverpool.

    Threshold Tuning for Improved Classification Association Rule Mining (Conference Paper)

    Coenen, F., Leng, P., & Zhang, L. (2005). Threshold Tuning for Improved Classification Association Rule Mining. In Unknown Conference (pp. 216-225). Springer Berlin Heidelberg. doi:10.1007/11430919_27

    DOI: 10.1007/11430919_27

    2004

    An Evaluation of Approaches to Classification Rule Selection (Conference Paper)

    Coenen, F., & Leng, P. (n.d.). An Evaluation of Approaches to Classification Rule Selection. In Fourth IEEE International Conference on Data Mining (ICDM'04). IEEE. doi:10.1109/icdm.2004.10012

    DOI: 10.1109/icdm.2004.10012

    Data structure for association rule mining: T-trees and P-trees (Journal article)

    Coenen, F., Leng, P., & Ahmed, S. (2004). Data structure for association rule mining: T-trees and P-trees. IEEE Transactions on Knowledge and Data Engineering, 16(6), 774-778. doi:10.1109/tkde.2004.8

    DOI: 10.1109/tkde.2004.8

    A Tree Partitioning Method for Memory Management in Association Rule Mining (Journal article)

    Ahmed, S., Coenen, F., & Leng, P. (2004). A Tree Partitioning Method for Memory Management in Association Rule Mining. Unknown Journal, 331-340. doi:10.1007/978-3-540-30076-2_33

    DOI: 10.1007/978-3-540-30076-2_33

    Tree Structures for Mining Association Rules (Journal article)

    Coenen, F., Goulbourne, G., & Leng, P. (2004). Tree Structures for Mining Association Rules. Data Mining and Knowledge Discovery, 8(1), 25-51. doi:10.1023/b:dami.0000005257.93780.3b

    DOI: 10.1023/b:dami.0000005257.93780.3b

    2003

    T-trees, vertical partitioning and distributed association rule mining (Conference Paper)

    Coenen, F., Leng, P., & Ahmed, S. (2003). T-trees, vertical partitioning and distributed association rule mining. In Proceedings - IEEE International Conference on Data Mining, ICDM (pp. 513-516).

    Setting attribute weights for k-NN based binary classification via quadratic programming (Journal article)

    Zhang, L., Coenen, F., & Leng, P. (2003). Setting attribute weights for k-NN based binary classification via quadratic programming. Intelligent Data Analysis, 7(5), 427-441. doi:10.3233/ida-2003-7504

    DOI: 10.3233/ida-2003-7504

    2002

    Formalising optimal feature weight setting in case based diagnosis as linear programming problems (Journal article)

    Zhang, L., Coenen, F., & Leng, P. (2002). Formalising optimal feature weight setting in case based diagnosis as linear programming problems. Knowledge-Based Systems, 15(7), 391-398. doi:10.1016/s0950-7051(02)00023-0

    DOI: 10.1016/s0950-7051(02)00023-0

    5th European conference on principles of knowledge discovery in databases (Conference Paper)

    COENEN, F. (2002). 5th European conference on principles of knowledge discovery in databases. In The Knowledge Engineering Review Vol. 17 (pp. 197-203). Cambridge University Press (CUP). doi:10.1017/s026988890200022x

    DOI: 10.1017/s026988890200022x

    An Experimental Study of Increasing Diversity for Case-Based Diagnosis (Conference Paper)

    Zhang, L., Coenen, F., & Leng, P. (2002). An Experimental Study of Increasing Diversity for Case-Based Diagnosis. In Unknown Conference (pp. 448-459). Springer Berlin Heidelberg. doi:10.1007/3-540-46119-1_33

    DOI: 10.1007/3-540-46119-1_33

    Finding Association Rules with Some Very Frequent Attributes (Conference Paper)

    Coenen, F., & Leng, P. (2002). Finding Association Rules with Some Very Frequent Attributes. In Unknown Conference (pp. 99-111). Springer Berlin Heidelberg. doi:10.1007/3-540-45681-3_9

    DOI: 10.1007/3-540-45681-3_9

    2001

    Toward logical analysis of tabular rule-based systems (Journal article)

    Lig?za, A. (2001). Toward logical analysis of tabular rule-based systems. International Journal of Intelligent Systems, 16(3), 333-360. doi:3.0.co;2-r">10.1002/1098-111x(200103)16:3<333::aid-int1011>3.0.co;2-r

    DOI: 10.1002/1098-111x(200103)16:3<333::aid-int1011>3.0.co;2-r

    An Architecture For Web-based Post-sales Service In A Flexible Manufacturing Environment (Conference Paper)

    Zhang, W., Coenen, F., & Leng, P. (n.d.). An Architecture For Web-based Post-sales Service In A Flexible Manufacturing Environment. In Unknown Conference (pp. 407-416). Kluwer Academic Publishers. doi:10.1007/0-306-47009-8_29

    DOI: 10.1007/0-306-47009-8_29

    Computing Association Rules Using Partial Totals (Conference Paper)

    Coenen, F., Goulbourne, G., & Leng, P. (2001). Computing Association Rules Using Partial Totals. In Unknown Conference (pp. 54-66). Springer Berlin Heidelberg. doi:10.1007/3-540-44794-6_5

    DOI: 10.1007/3-540-44794-6_5

    Verification, validation, and integrity issues in expert and database systems: Two perspectives (Journal article)

    Coenen, F., Eaglestone, B., & Ridley, M. (2001). Verification, validation, and integrity issues in expert and database systems: Two perspectives. International Journal of Intelligent Systems, 16(3), 425-447. doi:3.0.co;2-c">10.1002/1098-111x(200103)16:3<425::aid-int1016>3.0.co;2-c

    DOI: 10.1002/1098-111x(200103)16:3<425::aid-int1016>3.0.co;2-c

    2000

    Spatial reasoning: improving computational efficiency (Journal article)

    Brown, A. G. P., & Coenen, F. P. (2000). Spatial reasoning: improving computational efficiency. AUTOMATION IN CONSTRUCTION, 9(4), 361-367. doi:10.1016/S0926-5805(99)00019-9

    DOI: 10.1016/S0926-5805(99)00019-9

    Validation and verification of knowledge-based systems: report on EUROVAV99 (Journal article)

    COENEN, F., BENCH-CAPON, T., BOSWELL, R., DIBIE-BARTHÉLEMY, J., EAGLESTONE, B., GERRITS, R. I. K., . . . WIRATUNGA, N. (2000). Validation and verification of knowledge-based systems: report on EUROVAV99. The Knowledge Engineering Review, 15(2), 187-196. doi:10.1017/s0269888900002010

    DOI: 10.1017/s0269888900002010

    Algorithms for computing association rules using a partial-support tree (Journal article)

    Goulbourne, G., Coenen, F., & Leng, P. (2000). Algorithms for computing association rules using a partial-support tree. Knowledge-Based Systems, 13(2-3), 141-149. doi:10.1016/s0950-7051(00)00055-1

    DOI: 10.1016/s0950-7051(00)00055-1

    An experiment in discovering association rules in the legal domain (Conference Paper)

    Bench-Capon, T., Coenen, F., & Leng, P. (n.d.). An experiment in discovering association rules in the legal domain. In Proceedings 11th International Workshop on Database and Expert Systems Applications. IEEE Comput. Soc. doi:10.1109/dexa.2000.875157

    DOI: 10.1109/dexa.2000.875157

    Tesseral spatio-temporal reasoning for multi-dimensional data (Journal article)

    Coenen, F. (2000). Tesseral spatio-temporal reasoning for multi-dimensional data. Pattern Recognition, 33(1), 9-23. doi:10.1016/s0031-3203(99)00039-4

    DOI: 10.1016/s0031-3203(99)00039-4

    The improvement of response modeling: combining rule-induction and case-based reasoning (Journal article)

    Coenen, F., Swinnen, G., Vanhoof, K., & Wets, G. (2000). The improvement of response modeling: combining rule-induction and case-based reasoning. Expert Systems with Applications, 18(4), 307-313. doi:10.1016/s0957-4174(00)00012-9

    DOI: 10.1016/s0957-4174(00)00012-9

    1999

    Report on the 1st international workshop on validation, verification and integrity issues of expert and database systems (Journal article)

    Bench-Capon, T., Castelli, D., Coenen, F., Devendeville-Brisoux, L., Eaglestone, B., Fiddian, N., . . . Vermesan, A. (1999). Report on the 1st international workshop on validation, verification and integrity issues of expert and database systems. Information Research, 4(3), 54-59.

    Multi-dimensional tesseral spatial reasoning for noise pollution modelling (Journal article)

    Coenen, F., Shave, M., Brown, A., & Lewis, J. (1999). Multi-dimensional tesseral spatial reasoning for noise pollution modelling. ADVANCES IN ENGINEERING SOFTWARE, 30(7), 479-488. doi:10.1016/S0965-9978(99)00004-6

    DOI: 10.1016/S0965-9978(99)00004-6

    Region description and comparative analysis using a tesseral representation (Conference Paper)

    Antonacopoulos, A., & Coenen, F. P. (1999). Region description and comparative analysis using a tesseral representation. In Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318). IEEE. doi:10.1109/icdar.1999.791757

    DOI: 10.1109/icdar.1999.791757

    The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning (Conference Paper)

    Coenen, F., Swinnen, G., Vanhoof, K., & Wets, G. (1999). The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning. In Unknown Conference (pp. 301-308). Springer Berlin Heidelberg. doi:10.1007/978-3-540-48247-5_34

    DOI: 10.1007/978-3-540-48247-5_34

    1998

    KD in FM: Knowledge discovery in facilities management databases (Conference Paper)

    Goulbourne, G., Coenen, F., & Leng, P. (1998). KD in FM: Knowledge discovery in facilities management databases. In Unknown Conference (pp. 806-815). Springer Berlin Heidelberg. doi:10.1007/bfb0054536

    DOI: 10.1007/bfb0054536

    Rulebase checking using a spatial representation (Conference Paper)

    Coenen, F. (1998). Rulebase checking using a spatial representation. In Unknown Conference (pp. 166-175). Springer Berlin Heidelberg. doi:10.1007/bfb0054478

    DOI: 10.1007/bfb0054478

    (Journal article)

    Coenen, F. P., Beattie, B., Shave, M. J. R., Bench-Capon, T. J. M., & Diaz, B. M. (1998). Unknown Title. Artificial Intelligence Review, 12(4), 321-343. doi:10.1023/a:1006541105578

    DOI: 10.1023/a:1006541105578

    1997

    An AI Approach to Noise Prediction (Journal article)

    Brown, A. G. P., Coenen, F. P., Shave, M. J., & Knight, M. W. (1997). An AI Approach to Noise Prediction. Building Acoustics, 4(2), 137-150. doi:10.1177/1351010x9700400205

    DOI: 10.1177/1351010x9700400205

    A tesseral approach to N-dimensional spatial reasoning (Conference Paper)

    Coenen, F. P., Beattie, B., Bench-Capon, T. J. M., Diaz, B. M., & Shave, M. J. R. (1997). A tesseral approach to N-dimensional spatial reasoning. In Unknown Conference (pp. 633-642). Springer Berlin Heidelberg. doi:10.1007/bfb0022071

    DOI: 10.1007/bfb0022071

    1996

    An ontology for linear spatial reasoning (Conference Paper)

    Coenen, F., Beattie, B., Bench-Capon, T. J. M., Shave, M. J. R., & Diaz, B. M. (1996). An ontology for linear spatial reasoning. In Unknown Conference (pp. 718-727). Springer Berlin Heidelberg. doi:10.1007/bfb0034725

    DOI: 10.1007/bfb0034725

    Temporal reasoning using tesseral addressing: towards an intelligent environmental impact assessment system (Journal article)

    Coenen, F., Beattie, B., Diaz, B., Bench-Capon, T. J. M., & Shave, M. J. R. (1996). Temporal reasoning using tesseral addressing: towards an intelligent environmental impact assessment system. Knowledge-Based Systems, 9(5), 287-300. doi:10.1016/0950-7051(96)01036-2

    DOI: 10.1016/0950-7051(96)01036-2

    1995

    Using cooperating knowledge-based systems to reduce information overload (Conference Paper)

    Finch, I., Coenen, F., Bench-Capon, T., & Shave, M. (1995). Using cooperating knowledge-based systems to reduce information overload. In IEE Colloquium (Digest).

    Advanced binary encoded matrix representation for rule base verification (Journal article)

    Coenen, F. (1995). Advanced binary encoded matrix representation for rule base verification. Knowledge-Based Systems, 8(4), 201-210. doi:10.1016/0950-7051(95)96217-f

    DOI: 10.1016/0950-7051(95)96217-f

    Developing distributed database applications using TSL (Conference Paper)

    Coenen, F. P., Finch, I., Shave, M. J. R., & Bench-Capon, T. J. M. (1995). Developing distributed database applications using TSL. In Unknown Conference (pp. 58-67). Springer Berlin Heidelberg. doi:10.1007/bfb0049105

    DOI: 10.1007/bfb0049105

    Spatial reasoning for GIS using a tesseral data representation (Conference Paper)

    Beattie, B., Coenen, F., Bench-Capon, T. J. M., Diaz, B. M., & Shave, M. J. R. (1995). Spatial reasoning for GIS using a tesseral data representation. In Unknown Conference (pp. 207-216). Springer Berlin Heidelberg. doi:10.1007/bfb0049119

    DOI: 10.1007/bfb0049119

    1994

    A binary encoded incidence matrix representation for KBS Verification (Journal article)

    Coenen, F. (1994). A binary encoded incidence matrix representation for KBS Verification. Robotics and Computer-Integrated Manufacturing, 11(3), 221-232. doi:10.1016/0736-5845(94)90037-x

    DOI: 10.1016/0736-5845(94)90037-x

    1993

    Representing visual conditions in a legal knowledge based system (Conference Paper)

    Coenen, F., Bench-Capon, T., & Smeaton, P. (1993). Representing visual conditions in a legal knowledge based system. In Proceedings of the fourth international conference on Artificial intelligence and law - ICAIL '93. ACM Press. doi:10.1145/158976.159009

    DOI: 10.1145/158976.159009

    Argument-based explanation of the British nationality act as a logic program (Journal article)

    Bench-Capon, T., Coenen, F., & Orton, P. (1993). Argument-based explanation of the British nationality act as a logic program. Information & Communications Technology Law, 2(1), 53-66. doi:10.1080/13600834.1993.9965668

    DOI: 10.1080/13600834.1993.9965668

    Expert system support for teams of mobile distributed engineers (Conference Paper)

    Coenen, F., Bench-Capon, T. J. M., Shave, M. J. R., & Finch, I. (1993). Expert system support for teams of mobile distributed engineers. In Applications of Artificial Intelligence in Engineering Vol. 1 (pp. 491-504).

    Two aspects of the validation and verification of knowledge-based systems (Journal article)

    Bench-Capon, T., Coenen, F., Nwana, H. S., Paton, R., & Shave, M. (1993). Two aspects of the validation and verification of knowledge-based systems. IEEE Expert, 8(3), 76-81. doi:10.1109/64.215226

    DOI: 10.1109/64.215226

    Using allspeak to reverse engineer KBS specifications (Conference Paper)

    Threadgold, R., & Coenen, F. (1993). Using allspeak to reverse engineer KBS specifications. In Applications of Artificial Intelligence in Engineering Vol. 2 (pp. 61-76).

    Verification of rule-bases using incidence matrices: The IMVER system (Conference Paper)

    Coenen, F., Taleb-Bendiab, A., & Forster, R. (1993). Verification of rule-bases using incidence matrices: The IMVER system. In Applications of Artificial Intelligence in Engineering Vol. 1 (pp. 247-260).

    1992

    KBS maintenance validation using simulation (Conference Paper)

    Coenen, F., & Bench-Capon, T. J. M. (1992). KBS maintenance validation using simulation. In Applications of Artificial Intelligence in Engineering (pp. 215-228).

    The maintenance of legal knowledge based systems (Journal article)

    Bench-Capon, T., & Coenen, F. (1992). The maintenance of legal knowledge based systems. Artificial Intelligence Review, 6(2), 129-143. doi:10.1007/bf00150230

    DOI: 10.1007/bf00150230

    Isomorphism and legal knowledge based systems (Journal article)

    Bench-Capon, T. J. M., & Coenen, F. P. (1992). Isomorphism and legal knowledge based systems. Artificial Intelligence and Law, 1(1), 65-86. doi:10.1007/bf00118479

    DOI: 10.1007/bf00118479

    Integrating legal support systems through document models (Journal article)

    Bench-Capon, T. J. M., Coenen, F., & Dunne, P. E. S. (1992). Integrating legal support systems through document models. Expert Systems with Applications, 4(4), 355-362. doi:10.1016/0957-4174(92)90128-f

    DOI: 10.1016/0957-4174(92)90128-f

    Maintenance tools for knowledge-based systems: the MAKE project (Journal article)

    Bench-Capon, T., & Coenen, F. (1992). Maintenance tools for knowledge-based systems: the MAKE project. Expert Systems with Applications, 5(3-4), 267-273. doi:10.1016/0957-4174(92)90011-g

    DOI: 10.1016/0957-4174(92)90011-g

    1991

    Rule-based algorithms for geographic constraints in a marine knowledge-based system (Journal article)

    Coenen, F., & Smeaton, P. (1991). Rule-based algorithms for geographic constraints in a marine knowledge-based system. Knowledge-Based Systems, 4(3), 157-164. doi:10.1016/0950-7051(91)90004-l

    DOI: 10.1016/0950-7051(91)90004-l

    1990

    Developing an intelligent marine navigation system (Journal article)

    Smeaton, G. P., & Coenen, F. P. (1990). Developing an intelligent marine navigation system. Computing & Control Engineering Journal, 1(2), 95. doi:10.1049/cce:19900024

    DOI: 10.1049/cce:19900024

    1989

    Knowledge-based Collision Avoidance (Journal article)

    Coenen, F. P., Smeaton, G. P., & Bole, A. G. (1989). Knowledge-based Collision Avoidance. Journal of Navigation, 42(1), 107-116. doi:10.1017/s0373463300015125

    DOI: 10.1017/s0373463300015125