2023
Mankala, S., Durai, A., Padiyar, A., Gkountouna, O., & Mahabir, R. (2023). Understanding public discourse surrounding the impact of bitcoin on the environment in social media. GEOJOURNAL, 88(4), 4243-4267. doi:10.1007/s10708-023-10856-zDOI: 10.1007/s10708-023-10856-z
ChatGPT: Bridging the gap between human and machine communication - A survey of its multifaceted applications (Poster)
Mahabir, R., Mahmood, K., Gkountouna, O., & Ballantyne, P. (2023). ChatGPT: Bridging the gap between human and machine communication - A survey of its multifaceted applications. Poster session presented at the meeting of 12th Annual College of Science Research Colloquium. Fairfax, VA, USA.
2022
Exploring Secondary Teachers’ Needs and Values in Culturally Responsive Teaching (Conference Paper)
Stevens, T., Gkountouna, O., & Lee, M. (2022). Exploring Secondary Teachers’ Needs and Values in Culturally Responsive Teaching. In Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing. ACM. doi:10.1145/3500868.3559473DOI: 10.1145/3500868.3559473
Towards a Socio-technical System of Culturally Responsive Teaching: The Interplay between Individuals, Communities and Resources (Conference Paper)
Stevens, T., Lee, M., & Gkountouna, O. (2022). Towards a Socio-technical System of Culturally Responsive Teaching: The Interplay between Individuals, Communities and Resources. In ACM CHI Workshop on ``There is no justice, just us'': Making Mosaics of Justice in Social Justice HCI. New Orleans, Louisiana, USA. Retrieved from https://dl.acm.org/doi/10.1145/3491101.3503698
An Advanced Artificial Intelligence System for Identifying the Near-Core Impact Features to Tropical Cyclone Rapid Intensification from the ERA-Interim Data (Journal article)
Wei, Y., Yang, R., Kinser, J., Griva, I., & Gkountouna, O. (n.d.). An Advanced Artificial Intelligence System for Identifying the Near-Core Impact Features to Tropical Cyclone Rapid Intensification from the ERA-Interim Data. Atmosphere, 13(5), 643. doi:10.3390/atmos13050643DOI: 10.3390/atmos13050643
Forecasting molecular dynamics energetics of polymers in solution from supervised machine learning (Journal article)
Andrews, J., Gkountouna, O., & Blaisten-Barojas, E. (n.d.). Forecasting molecular dynamics energetics of polymers in solution from supervised machine learning. Chemical Science, 13(23), 7021-7033. doi:10.1039/d2sc01216bDOI: 10.1039/d2sc01216b
One-off Disclosure Control by Heterogeneous Generalization (Conference Paper)
Gkountouna, O., Doka, K., Xue, M., Cao, J., & Karras, P. (2022). One-off Disclosure Control by Heterogeneous Generalization. In PROCEEDINGS OF THE 31ST USENIX SECURITY SYMPOSIUM (pp. 3363-3377). Retrieved from https://www.webofscience.com/
2021
Influence of Geographic Distance on CNN Generalization for Satellite Image Classification (Conference Paper)
Fei, X., Wessels, K., Pfoser, D., Zufle, A., & Gkountouna, O. (2021). Influence of Geographic Distance on CNN Generalization for Satellite Image Classification. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE. doi:10.1109/igarss47720.2021.9553363DOI: 10.1109/igarss47720.2021.9553363
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool (Poster)
Kulkarni, A., & Gkountouna, O. (2021). Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool. Poster session presented at the meeting of Proceedings of the 14th International Conference on Educational Data Mining (EDM 2021). https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf.
A Recommendation System for e-Learning Videos on YouTube (Poster)
Hoang, S., Mahabir, R., & Gkountouna, O. (2021). A Recommendation System for e-Learning Videos on YouTube. Poster session presented at the meeting of University Research Colloquium, George Mason University. Fairfax, Virginia, USA.
Collaborative Filtering Restaurant Recommender with Skyline Queries (Poster)
Nguyen, V., Mahabir, R., & Gkountouna, O. (2021). Collaborative Filtering Restaurant Recommender with Skyline Queries. Poster session presented at the meeting of University Research Colloquium, George Mason University. Fairfax, Virginia, USA.
Developing a Real-Time Litter Recognition System (Poster)
Stoykov, I., Mahabir, R., & Gkountouna, O. (2021). Developing a Real-Time Litter Recognition System. Poster session presented at the meeting of University Research Colloquium, George Mason University. Fairfax, Virginia, USA.
Machine Learning for the forecasting of Alzheimer's Disease Clinical Status (Poster)
Cullen, K., Mahabir, R., & Gkountouna, O. (2021). Machine Learning for the forecasting of Alzheimer's Disease Clinical Status. Poster session presented at the meeting of University Research Colloquium, George Mason University. Fairfax, Virginia, USA.
Theoretical Applications of Magnetic Fields at Tremendously Low Frequency in Remote Sensing and Electronic Activity Classification (Journal article)
Duncan, C., Gkountouna, O., & Mahabir, R. (2021). Theoretical Applications of Magnetic Fields at Tremendously Low Frequency in Remote Sensing and Electronic Activity Classification. Unknown Journal, 235-247. doi:10.1007/978-3-030-71051-4_18DOI: 10.1007/978-3-030-71051-4_18
2020
Traffic Flow Estimation using Probe Vehicle Data (Conference Paper)
Gkountouna, O., Pfoser, D., & Zufle, A. (2020). Traffic Flow Estimation using Probe Vehicle Data. In 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). IEEE. doi:10.1109/dsaa49011.2020.00073DOI: 10.1109/dsaa49011.2020.00073
2019
Shortest-Path Diversification through Network Penalization (Conference Paper)
Cheng, D., Gkountouna, O., Züfle, A., Pfoser, D., & Wenk, C. (2019). Shortest-Path Diversification through Network Penalization. In Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science. ACM. doi:10.1145/3357000.3366137DOI: 10.1145/3357000.3366137
Spatiotemporal Bus Route Profiling using Odometer Data (Conference Paper)
Fei, X., Gkountouna, O., Pfoser, D., & Züfle, A. (2019). Spatiotemporal Bus Route Profiling using Odometer Data. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM. doi:10.1145/3347146.3359350DOI: 10.1145/3347146.3359350
Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints (Journal article)
Zhao, L., Gkountouna, O., & Pfoser, D. (2019). Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. ACM Transactions on Spatial Algorithms and Systems, 5(3), 1-28. doi:10.1145/3339823DOI: 10.1145/3339823
2018
Spatiotemporal clustering in urban transportation (Journal article)
Fei, X., & Gkountouna, O. (2018). Spatiotemporal clustering in urban transportation. SIGSPATIAL Special, 10(2), 26-33. doi:10.1145/3292390.3292396DOI: 10.1145/3292390.3292396
Towards a Better Understanding of Public Transportation Traffic: A Case Study of the Washington, DC Metro (Journal article)
Truong, R., Gkountouna, O., Pfoser, D., & Züfle, A. (n.d.). Towards a Better Understanding of Public Transportation Traffic: A Case Study of the Washington, DC Metro. Urban Science, 2(3), 65. doi:10.3390/urbansci2030065DOI: 10.3390/urbansci2030065
Spatiotemporal Traffic Volume Estimation Model Based on GPS Samples (Conference Paper)
Snowdon, J., Gkountouna, O., Züfle, A., & Pfoser, D. (2018). Spatiotemporal Traffic Volume Estimation Model Based on GPS Samples. In Proceedings of the Fifth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data. ACM. doi:10.1145/3210272.3210273DOI: 10.1145/3210272.3210273
2017
A Unified Framework to Predict Movement (Conference Paper)
Gkountouna, O., Pfoser, D., Wenk, C., & Züfle, A. (2017). A Unified Framework to Predict Movement. In Unknown Conference (pp. 393-397). Springer International Publishing. doi:10.1007/978-3-319-64367-0_23DOI: 10.1007/978-3-319-64367-0_23
2016
Anonymizing collections of tree-structured data (Conference Paper)
Gkountouna, O., & Terrovitis, M. (2016). Anonymizing collections of tree-structured data. In 2016 IEEE 32nd International Conference on Data Engineering (ICDE). IEEE. doi:10.1109/icde.2016.7498404DOI: 10.1109/icde.2016.7498404
2015
Anonymizing Collections of Tree-Structured Data (Journal article)
Gkountouna, O., & Terrovitis, M. (2015). Anonymizing Collections of Tree-Structured Data. IEEE Transactions on Knowledge and Data Engineering, 27(8), 2034-2048. doi:10.1109/tkde.2015.2405563DOI: 10.1109/tkde.2015.2405563
2014
k m -Anonymity for Continuous Data Using Dynamic Hierarchies (Conference Paper)
Gkountouna, O., Angeli, S., Zigomitros, A., Terrovitis, M., & Vassiliou, Y. (2014). k m -Anonymity for Continuous Data Using Dynamic Hierarchies. In Unknown Conference (pp. 156-169). Springer International Publishing. doi:10.1007/978-3-319-11257-2_13DOI: 10.1007/978-3-319-11257-2_13
2013
Privacy against aggregate knowledge attacks (Conference Paper)
Gkountouna, O., Lepenioti, K., & Terrovitis, M. (2013). Privacy against aggregate knowledge attacks. In 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW). IEEE. doi:10.1109/icdew.2013.6547435DOI: 10.1109/icdew.2013.6547435