Photo of Prof Frans Coenen

Prof Frans Coenen

Professor of Computer Science Computer Science

    Publications

    2018

    A Dataset for Inter-Sentence Relation Extraction using Distant Supervision. (Conference Paper)

    Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). A Dataset for Inter-Sentence Relation Extraction using Distant Supervision.. In N. Calzolari, K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, . . . T. Tokunaga (Eds.), LREC. European Language Resources Association (ELRA). Retrieved from http://www.lrec-conf.org/lrec2018

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

    Xia, Y., Chen, B., Lu, W., Coenen, F., & Zhang, B. (2018). Attributes-oriented clothing description and retrieval with multi-task convolutional neural network. In ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (pp. 804-808). doi:10.1109/FSKD.2017.8393378

    DOI: 10.1109/FSKD.2017.8393378

    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.

    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

    Detection and Recognition of Traffic Scene Objects with Deep Learning (Thesis / Dissertation)

    Qian, R. (2018, February 21). Detection and Recognition of Traffic Scene Objects with Deep Learning.

    Efficient and Effective Methodologies for Exploring and Prediction Movement Patterns in Large Networks (Thesis / Dissertation)

    Al-Zeyadi, M. G. (2018, October 10). Efficient and Effective Methodologies for Exploring and Prediction Movement Patterns in Large Networks.

    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 Communications in Computer and Information Science Vol. 781 (pp. 51-62). doi:10.1007/978-981-10-8438-6_5

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

    HTML Steganography Algorithms and Detection Methods (Thesis / Dissertation)

    Sedeeq, I. (2018, May 21). HTML Steganography Algorithms and Detection Methods.

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

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

    DOI: 10.1007/s13218-018-0526-z

    Keyboard Usage Recognition: A Study in Pattern Mining and Prediction in the Context of Impersonation (Thesis / Dissertation)

    Alshehri, A. (2018, June 11). Keyboard Usage Recognition: A Study in Pattern Mining and Prediction in the Context of Impersonation.

    Keyboard Usage Recognition: A Study in Pattern Mining and Prediction in the Context of Impersonation (Thesis / Dissertation)

    Alshehri, A. (2018, June 11). Keyboard Usage Recognition: A Study in Pattern Mining and Prediction in the Context of Impersonation.

    Learning relations from social tagging data (Conference Paper)

    Dong, H., Wang, W., & Coenen, F. (2018). Learning relations from social tagging data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11012 LNAI (pp. 29-41). doi:10.1007/978-3-319-97304-3_3

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

    Multi-dimensional banded pattern mining (Conference Paper)

    Abdullahi, F. B., & Coenen, F. (2018). Multi-dimensional banded pattern mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11016 LNAI (pp. 154-169). doi:10.1007/978-3-319-97289-3_12

    DOI: 10.1007/978-3-319-97289-3_12

    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). doi:10.1088/1742-6596/1003/1/012130

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

    Querying Encrypted Graph Databases (Conference Paper)

    Aburawi, N., Lisitsa, A., & Coenen, F. (2018). Querying Encrypted Graph Databases. In ICISSP 2018 - Proceedings of the 4th International Conference on Information Systems Security and Privacy Vol. 2018-January (pp. 447-451).

    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

    Segmenting sound waves to support phonocardiogram analysis: The PCGseg approach (Conference Paper)

    Alhijailan, H., Coenen, F., Dukes-McEwan, J., & Thiyagalingam, J. (2018). Segmenting sound waves to support phonocardiogram analysis: The PCGseg approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11013 LNAI (pp. 100-112). doi:10.1007/978-3-319-97310-4_12

    DOI: 10.1007/978-3-319-97310-4_12

    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-time continuous user authentication. In ICISSP 2018 - Proceedings of the 4th International Conference on Information Systems Security and Privacy Vol. 2018-January (pp. 62-73).

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11031 LNCS (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 J. Bernardino, & C. Quix (Eds.), DATA (pp. 381-387). SciTePress. Retrieved from http://www.informatik.uni-trier.de/~ley/db/conf/data/data2018.html

    2017

    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

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

    Sedeeq, I., Coenen, F., & Lisitsa, A. (2017). A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages. In DIGITAL FORENSICS AND WATERMARKING Vol. 10431 (pp. 235-247). doi:10.1007/978-3-319-64185-0_18

    DOI: 10.1007/978-3-319-64185-0_18

    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 IC3K 2017 - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Vol. 1 (pp. 61-70).

    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/

    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

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

    Pratt, H., Williams, B. M., Ku, J., Vas, C., McCann, E., Al-Bander, B., . . . Zheng, Y. (2017). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. Journal of Imaging.

    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 Communications in Computer and Information Science Vol. 723 (pp. 27-37). doi:10.1007/978-3-319-60964-5_3

    DOI: 10.1007/978-3-319-60964-5_3

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

    Coenen, F. P., martin, R., & Abdullahi, F. (2017). Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data.

    CLIEL: Context-Based information extraction from commercial law documents (Conference Paper)

    García-Constantino, M., Chapman, K., Atkinson, K., Coenen, F., Robson, K., Bollegala, D., & Roberts, C. (2017). CLIEL: Context-Based information extraction from commercial law documents. In Proceedings of the International Conference on Artificial Intelligence and Law (pp. 79-87). doi:10.1145/3086512.3086520

    DOI: 10.1145/3086512.3086520

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10761 LNCS (pp. 418-434). doi:10.1007/978-3-319-77113-7_33

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

    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/

    Evolutionary and Swarm Algorithm Optimized Density- Based Clustering and Classification for Data Analytics (Thesis / Dissertation)

    Guan, C. (2017, September 30). Evolutionary and Swarm Algorithm Optimized Density- Based Clustering and Classification for Data Analytics.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10399 LNAI (pp. 128-140). doi:10.1007/978-3-319-67477-3_7

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

    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. doi:10.1007/978-3-319-71249-9_47

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

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

    Almutairi, N., Coenen, F., & 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 BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY, DAWAK 2017 Vol. 10440 (pp. 274-285). doi:10.1007/978-3-319-64283-3_20

    DOI: 10.1007/978-3-319-64283-3_20

    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

    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/

    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 ICIT 2017 - 8th International Conference on Information Technology, Proceedings (pp. 703-709). doi:10.1109/ICITECH.2017.8079931

    DOI: 10.1109/ICITECH.2017.8079931

    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/

    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.

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

    Alshehri, A., Coenen, F., & Bollegala, D. (2017). Spectral Keyboard Streams: Towards Effective and Continuous Authentication. In 2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2017) (pp. 242-249). doi:10.1109/ICDMW.2017.38

    DOI: 10.1109/ICDMW.2017.38

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

    Cui, X., Coenen, F., & Bollegala, D. (2017). TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT II Vol. 10535 (pp. 754-771). doi:10.1007/978-3-319-71246-8_46

    DOI: 10.1007/978-3-319-71246-8_46

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

    Qian, R. Q., Yue, Y., Coenen, F., & Zhang, B. L. (2017). Traffic sign recognition using visual attribute learning and convolutional neural network. In Proceedings - International Conference on Machine Learning and Cybernetics Vol. 1 (pp. 386-391). doi:10.1109/ICMLC.2016.7860932

    DOI: 10.1109/ICMLC.2016.7860932

    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 IC3K 2017 - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Vol. 1 (pp. 173-180).

    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/

    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

    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

    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..

    Banded Pattern Mining For N-Dimensional Zero-One Data (Thesis / Dissertation)

    Abdullahi, F. B. (2016, October 24). Banded Pattern Mining For N-Dimensional Zero-One Data.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9670 (pp. 1-31). doi:10.1007/978-3-662-49784-5_1

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

    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. (2017). Bias aware lexicon-based Sentiment Analysis of Malay dialect on social media data: A study on the Sabah Language. In Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment (pp. 356-361). doi:10.1109/ICSITech.2016.7852662

    DOI: 10.1109/ICSITech.2016.7852662

    Cluster of Tweet Users Based on Optimal Set (Conference Paper)

    Paul, A., Dutta, A., Coenen, F., & IEEE. (2016). Cluster of Tweet Users Based on Optimal Set. In PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) (pp. 286-290). Retrieved from http://gateway.webofknowledge.com/

    Convolutional Neural Networks for Diabetic Retinopathy (Conference Paper)

    Pratt, H., Coenen, F., Broadbent, D. M., Harding, S. P., & Zheng, Y. (2016). Convolutional Neural Networks for Diabetic Retinopathy. In 20TH CONFERENCE ON MEDICAL IMAGE UNDERSTANDING AND ANALYSIS (MIUA 2016) Vol. 90 (pp. 200-205). doi:10.1016/j.procs.2016.07.014

    DOI: 10.1016/j.procs.2016.07.014

    Driving posture recognition by convolutional neural networks (Conference Paper)

    Yan, C., Zhang, B., & Coenen, F. (2016). Driving posture recognition by convolutional neural networks. In Proceedings - International Conference on Natural Computation Vol. 2016-January (pp. 680-685). doi:10.1109/ICNC.2015.7378072

    DOI: 10.1109/ICNC.2015.7378072

    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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9810 LNCS (pp. 93-105). doi:10.1007/978-3-319-42911-3_8

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

    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

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

    Xia, Y., Zhang, B., & Coenen, F. (2016). Face occlusion detection based on multi-task convolution neural network. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 (pp. 375-379). doi:10.1109/FSKD.2015.7381971

    DOI: 10.1109/FSKD.2015.7381971

    Keyboard Usage Authentication Using Time Series Analysis (Conference Paper)

    Alshehri, A., Coenen, F., & Bollegala, D. (2016). Keyboard Usage Authentication Using Time Series Analysis. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY, DAWAK 2016 Vol. 9829 (pp. 239-252). doi:10.1007/978-3-319-43946-4_16

    DOI: 10.1007/978-3-319-43946-4_16

    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/

    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

    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

    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/

    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

    Vision-based Driver Behaviour Analysis (Thesis / Dissertation)

    Yan, C. (2016, July 20). Vision-based Driver Behaviour Analysis.

    Volumetric Data Classification: A Study Direct at 3-D Imagery (Thesis / Dissertation)

    Udomchaiporn, A. (2016, January 31). Volumetric Data Classification: A Study Direct at 3-D Imagery.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10093 LNAI (pp. 1-21). doi:10.1007/978-3-319-50983-9_1

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

    2015

    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

    Classification of 3D surface data using the concept of Vertex Unique Labelled Subgraphs (Conference Paper)

    Yu, W., Coenen, F., Zito, M., & Dittakan, K. (2015). Classification of 3D surface data using the concept of Vertex Unique Labelled Subgraphs. In IEEE International Conference on Data Mining Workshops, ICDMW Vol. 2015-January (pp. 47-54). doi:10.1109/ICDMW.2014.125

    DOI: 10.1109/ICDMW.2014.125

    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

    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

    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/

    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

    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/

    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/

    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/

    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

    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/

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9429 (pp. 77-88). doi:10.1007/978-3-319-25939-0_7

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

    2014

    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.

    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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8646 LNCS, 300-307. doi:10.1007/978-3-319-10160-6_27

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

    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 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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8646 LNCS (pp. 345-356). doi:10.1007/978-3-319-10160-6_31

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

    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

    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

    Content-based readability assessment: A study using a syllabic alphabetic language (thai) (Journal article)

    Tongtep, N., Coenen, F., & Theeramunkong, T. (2014). Content-based readability assessment: A study using a syllabic alphabetic language (thai). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8862, 863-870. doi:10.1007/978-3-319-13560-1

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

    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

    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.

    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/

    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.

    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

    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.

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

    Williams, R., Konev, B., & Coenen, F. (2014). Multi-agent environment exploration with AR.Drones. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8717 LNAI (pp. 60-71). doi:10.1007/978-3-319-10401-0_6

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

    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.

    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

    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

    2013

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8346 LNAI (pp. 229-240). 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 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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8346 LNAI (pp. 253-264). 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 Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 (pp. 4647-4651). doi:10.1109/SMC.2013.791

    DOI: 10.1109/SMC.2013.791

    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

    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 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

    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.

    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 Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 (pp. 2270-2274). doi:10.1109/SMC.2013.388

    DOI: 10.1109/SMC.2013.388

    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

    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.

    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 CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 11-16). doi:10.1109/CBMS.2013.6627757

    DOI: 10.1109/CBMS.2013.6627757

    Extracting debate graphs from parliamentary transcripts: A study directed at UK house of commons debates (Conference Paper)

    Salah, Z., Coenen, F., & Grossi, D. (2013). Extracting debate graphs from parliamentary transcripts: A study directed at UK house of commons debates. In Proceedings of the International Conference on Artificial Intelligence and Law (pp. 121-130). 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7987 LNAI (pp. 229-238). doi:10.1007/978-3-642-39736-3_18

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

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8346 LNAI (pp. 13-24). 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 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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8346 LNAI (pp. 493-504). doi:10.1007/978-3-642-53914-5_42

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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8057 LNCS (pp. 317-326). 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8057 LNCS (pp. 285-296). doi:10.1007/978-3-642-40131-2_25

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

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8346 LNAI (pp. 505-516). doi:10.1007/978-3-642-53914-5_43

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

    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.

    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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7988 LNAI, 260-274. doi:10.1007/978-3-642-39712-7_20

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

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8346 LNAI (pp. 542-553). doi:10.1007/978-3-642-53914-5_46

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

    2012

    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.

    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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7103 LNAI (pp. 16-29). 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 (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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7376 LNAI (pp. 495-509). doi:10.1007/978-3-642-31537-4_39

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

    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.

    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

    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.

    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 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7376 LNAI (pp. 366-379). doi:10.1007/978-3-642-31537-4_29

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

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

    Nohuddin, P. N., 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

    Highly Reliable Breast Cancer Diagnosis with Cascaded Ensemble Classifiers. (Conference Paper)

    Zhang, Y., Zhang, B., Coenen, F., & Lu, W. (2012). Highly Reliable Breast Cancer Diagnosis with Cascaded Ensemble Classifiers.. In IJCNN 2012 (pp. In Press). Brisbane: TBA.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7458 LNAI (pp. 883-886). doi:10.1007/978-3-642-32695-0_91

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

    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 Res. and Dev. in Intelligent Syst. XXIX: Incorporating Applications and Innovations in Intel. Sys. XX - AI 2012, 32nd SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 391-404). 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).

    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

    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

    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 Res. and Dev. in Intelligent Syst. XXIX: Incorporating Applications and Innovations in Intel. Sys. XX - AI 2012, 32nd SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 35-48). 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 Res. and Dev. in Intelligent Syst. XXIX: Incorporating Applications and Innovations in Intel. Sys. XX - AI 2012, 32nd SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 405-418). doi:10.1007/978-1-4471-4739-8-31

    DOI: 10.1007/978-1-4471-4739-8-31

    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

    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/

    2011

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6871 LNAI (pp. 387-398). doi:10.1007/978-3-642-23199-5_29

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

    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

    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

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

    Coenen, F. (2011). Data mining: past, present and future. The Knowledge Engineering Review, 26(01), 25-29. doi:10.1017/S0269888910000378

    DOI: 10.1017/S0269888910000378

    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 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.

    Finding associations in composite data sets: The CFARM algorithm (Journal article)

    Sulaiman Khan, M., Muyeba, M., Coenen, F., Reid, D., & Tawfik, H. (2011). Finding associations in composite data sets: The CFARM algorithm. International Journal of Data Warehousing and Mining, 7(3), 1-29. doi:10.4018/jdwm.2011070101

    DOI: 10.4018/jdwm.2011070101

    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.

    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/

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6871 LNAI (pp. 414-427). doi:10.1007/978-3-642-23199-5_31

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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6635 LNAI (pp. 357-369). 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.

    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/

    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 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. 153-166). 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

    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 Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII (pp. 35-48). doi:10.1007/978-1-84882-983-1-3

    DOI: 10.1007/978-1-84882-983-1-3

    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

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

    Wang, W., Bañares-Alcántara, R., Cui, Z., Wang, Y. J., & Coenen, F. (2010). An association rule-based CLIPS program for interactive prediction of MSC differentiation in vitro. In ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings Vol. 2. doi:10.1109/ICCASM.2010.5620726

    DOI: 10.1109/ICCASM.2010.5620726

    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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6440 LNAI (pp. 48-59). 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6440 LNAI (pp. 125-136). doi:10.1007/978-3-642-17316-5_12

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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5980 LNAI (pp. 103-114). doi:10.1007/978-3-642-15420-1_9

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

    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

    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 Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII (pp. 333-346). 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

    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/

    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/

    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/

    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/

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6171 LNAI (pp. 222-236). 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/

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6171 LNAI (pp. 115-127). doi:10.1007/978-3-642-14400-4_9

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

    Region of interest based image categorization (Chapter)

    Elsayed, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2010). Region of interest based image categorization. In Unknown Book (Vol. 6263 LNCS, pp. 239-250). doi:10.1007/978-3-642-15105-7_19

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

    Region of interest based image classification using time series analysis (Conference Paper)

    Elsayed, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2010). Region of interest based image classification using time series analysis. In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN.2010.5596324

    DOI: 10.1109/IJCNN.2010.5596324

    Retinal image classification using a histogram based approach (Conference Paper)

    Ahmad Hijazi, M. H., Coenen, F., & Zheng, Y. (2010). Retinal image classification using a histogram based approach. In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN.2010.5596320

    DOI: 10.1109/IJCNN.2010.5596320

    Rule learning with negation: Issues regarding effectiveness (Conference Paper)

    Chua, S., Coenen, F., & Malcolm, G. (2010). Rule learning with negation: Issues regarding effectiveness. In IFIP Advances in Information and Communication Technology Vol. 340 AICT (pp. 193-202). 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

    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

    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.

    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/

    2009

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5433 LNAI (pp. 62-74). doi:10.1007/978-3-642-00399-8-6

    DOI: 10.1007/978-3-642-00399-8-6

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5572 LNAI (pp. 203-210). 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5678 LNAI (pp. 338-349). doi:10.1007/978-3-642-03348-3_33

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

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5680 LNAI (pp. 53-68). doi:10.1007/978-3-642-03603-3_5

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

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5633 LNAI (pp. 51-61). doi:10.1007/978-3-642-03067-3_6

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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5691 LNCS (pp. 354-365). doi:10.1007/978-3-642-03730-6_28

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

    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.

    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

    Effective mining of weighted fuzzy association rules (Chapter)

    Muyeba, M., Khan, M. S., & Coenen, F. (2009). Effective mining of weighted fuzzy association rules. In Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection (pp. 47-64). doi:10.4018/978-1-60566-754-6.ch004

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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5433 LNAI (pp. 49-61). 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 Applications and Innovations in Intelligent Systems XVI - Proceedings of AI 2008, the 28th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 63-76). doi:10.1007/978-1-84882-215-3-5

    DOI: 10.1007/978-1-84882-215-3-5

    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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5633 LNAI (pp. 220-231). doi:10.1007/978-3-642-03067-3_18

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

    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.

    Multi-party argument from experience (Conference Paper)

    Wardeh, M., Bench-Capon, T., & Coenen, F. (2010). Multi-party argument from experience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6057 LNAI (pp. 216-235). doi:10.1007/978-3-642-12805-9_13

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

    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

    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.

    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). doi:10.1007/978-1-4419-0522-2_13

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

    2008

    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.

    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 Proceedings - EMS 2008, European Modelling Symposium, 2nd UKSim European Symposium on Computer Modelling and Simulation (pp. 87-92). doi:10.1109/EMS.2008.73

    DOI: 10.1109/EMS.2008.73

    Agent based frequent set meta mining: Introducing EMADS (Conference Paper)

    Albashiri, K. A., Coenen, F., & Leng, P. (2008). Agent based frequent set meta mining: Introducing EMADS. In IFIP International Federation for Information Processing Vol. 276 (pp. 23-32). doi:10.1007/978-0-387-09695-7_3

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

    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).

    Document-base extraction for single-label text classification (Conference Paper)

    Wang, Y. J., Sanderson, R., Coenen, F., & Leng, P. (2008). Document-base extraction for single-label text classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5182 LNCS (pp. 357-367). doi:10.1007/978-3-540-85836-2_34

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

    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 allocating patterns in investment portfolios (Chapter)

    Wang, Y. J., Zheng, X., & Coenen, F. (2008). Mining allocating patterns in investment portfolios. In Data Mining Applications for Empowering Knowledge Societies (pp. 110-135). 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 Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008 (pp. 592-598). doi:10.1109/ICDMW.2008.112

    DOI: 10.1109/ICDMW.2008.112

    Mining efficiently significant classification Association rules (Journal article)

    Wang, Y. J., Xin, Q., & Coenen, F. (2008). Mining efficiently significant classification Association rules. Studies in Computational Intelligence, 118, 443-467. doi:10.1007/978-3-540-78488-3_26

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

    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).

    Mining fuzzy association rules from composite items (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. (2008). Mining fuzzy association rules from composite items. In IFIP International Federation for Information Processing Vol. 276 (pp. 67-76). doi:10.1007/978-0-387-09695-7_7

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

    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).

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

    Wardeh, M., Bench-Capon, T., & Coenen, F. P. (2008). PISA - Pooling Information from Several Agents: Multiplayer Argumentation From Experience. In AI'08 (pp. 133-146). Cambridge: Springer.

    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.

    Weighted association rule mining from binary and fuzzy data (Conference Paper)

    Khan, M. S., Muyeba, M., & Coenen, F. (2008). Weighted association rule mining from binary and fuzzy data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5077 LNAI (pp. 200-212). doi:10.1007/978-3-540-70720-2_16

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

    2007

    '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. (2007). A novel rule ordering approach in classification association rule mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4571 LNAI (pp. 339-348).

    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 Proceedings - IEEE International Conference on Data Mining, ICDM (pp. 271-276). doi:10.1109/ICDMW.2007.126

    DOI: 10.1109/ICDMW.2007.126

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4724 LNAI (pp. 465-476).

    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. (2007). Statistical identification of key phrases for text classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4571 LNAI (pp. 838-853).

    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 Research and Development in Intelligent Systems XXIII - Proceedings of AI 2006, the 26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 413-417). doi:10.1007/978-1-84628-663-6-34

    DOI: 10.1007/978-1-84628-663-6-34

    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

    2006

    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 Research and Development in Intelligent Systems XXII - Proceedings of AI 2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 263-276). doi:10.1007/978-1-84628-226-3-20

    DOI: 10.1007/978-1-84628-226-3-20

    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(01), 25. doi:10.1017/S0269888906000786

    DOI: 10.1017/S0269888906000786

    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..

    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

    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.

    Towards an agent-based framework for online after-sale services (Conference Paper)

    Zhang, L., Coenen, F., Huang, W., & Leng, P. (2006). Towards an agent-based framework for online after-sale services. In IEEE Intelligent Systems (pp. 420-425). 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

    2005

    '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.

    Obtaining best parameter values for accurate classification (Conference Paper)

    Coenen, F., & Leng, P. (2005). Obtaining best parameter values for accurate classification. In Proceedings - IEEE International Conference on Data Mining, ICDM (pp. 597-600). doi:10.1109/ICDM.2005.105

    DOI: 10.1109/ICDM.2005.105

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 3518 LNAI (pp. 216-225).

    2004

    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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3181, 331-340.

    An evaluation of approaches to classification rule selection (Conference Paper)

    Coenen, F., & Leng, P. (2004). An evaluation of approaches to classification rule selection. In Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004 (pp. 359-362). 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

    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

    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.

    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).

    2002

    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. 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 2416 (pp. 448-459).

    Finding association rules with some very frequent attributes (Conference Paper)

    Coenen, F., & Leng, P. (2002). Finding association rules with some very frequent attributes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 2431 LNAI (pp. 99-111).

    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

    2001

    An architecture for web-based post-sales service in a flexible manufacturing environment (Conference Paper)

    Zhang, W., Coenen, F., & Leng, P. (2001). An architecture for web-based post-sales service in a flexible manufacturing environment. In IFIP Advances in Information and Communication Technology Vol. 74 (pp. 407-416).

    Computing association rules using partial totals (Conference Paper)

    Coenen, F., Goulbourne, G., & Leng, P. (2001). Computing association rules using partial totals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 2168 (pp. 54-66).

    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

    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

    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. (2000). An experiment in discovering association rules in the legal domain. In Proceedings - International Workshop on Database and Expert Systems Applications, DEXA Vol. 2000-January (pp. 1056-1060). doi:10.1109/DEXA.2000.875157

    DOI: 10.1109/DEXA.2000.875157

    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

    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

    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., . . . 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

    1999

    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 International Conference on Document Analysis and Recognition, ICDAR (pp. 193-196). doi:10.1109/ICDAR.1999.791757

    DOI: 10.1109/ICDAR.1999.791757

    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.

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1704 (pp. 301-308).

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1460 (pp. 806-815).

    Rulebase checking using a spatial representation (Conference Paper)

    Coenen, F. (1998). Rulebase checking using a spatial representation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1460 (pp. 166-175).

    Spatial Reasoning Using the Quad Tesseral Representation (Journal article)

    Coenen, F. P., Beattie, B., Shave, M. J. R., Bench-Capon, T. J. M., & Diaz, B. M. (1998). Spatial Reasoning Using the Quad Tesseral Representation. Artificial Intelligence Review, 12(4), 321-343. doi:10.1023/A:1006541105578

    DOI: 10.1023/A:1006541105578

    1997

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1308 (pp. 633-642).

    An AI Approach to Noise Prediction (Journal article)

    Brown, A., Coenen, F., Shave, M., & Knight, M. (1997). An AI Approach to Noise Prediction. Building Acoustics, 4(2), 137-150. doi:10.1177/1351010X9700400205

    DOI: 10.1177/1351010X9700400205

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1134 LNCS (pp. 718-727).

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

    Coenen, F., Beattie, B., Diaz, B., Bench-Capon, T., & Shave, M. (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

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 978 (pp. 58-67).

    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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 978 (pp. 207-216).

    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).

    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

    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).

    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 International Conference on Artificial Intelligence and Law Vol. Part F127196 (pp. 264-271). doi:10.1145/158976.159009

    DOI: 10.1145/158976.159009

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

    Bench-Capon, T., Coenen, F., Nwana, H., 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

    Integrating legal support systems through document models (Journal article)

    Bench-Capon, T. J., Coenen, F., & Dunne, P. E. (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

    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

    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).

    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

    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

    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(01), 107-116. doi:10.1017/S0373463300015125

    DOI: 10.1017/S0373463300015125

    Undated

    Machine learning and sentiment analysis approaches for the analysis of Parliamentary debates (Thesis / Dissertation)

    Salah, Z. (n.d.). Machine learning and sentiment analysis approaches for the analysis of Parliamentary debates. (PhD Thesis, University of Liverpool).
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