Moshe Koppel, Jonathan Schler and Elisheva Bonchek-Dokow, “Measuring Differentiability: Unmasking Pseudonymous Authors”, Journal of Machine Learning Research (JMLR), Volume 8, pp. 1261-1276, June 2007
Elisheva Bonchek-Dokow, Gal A. Kaminka and Carmel Domshlak, “Distinguishing Between Intentional and Unintentional Sequences of Actions”, Proceedings of the International Conference on Cognitive Modeling (ICCM-09), 2009
Elisheva Bonchek-Dokow, Gal A. Kaminka and Carmel Domshlak, “Distinguishing Between Intentional and Unintentional Sequences of Actions”, Proceedings of the IJCAI-09 Workshop on Plan, Activity, and Intention Recognition (PAIR-09), 2009
Elisheva Bonchek-Dokow, Gal A. Kaminka, “Towards a Model of Human Intent Recognition: Intention Detection and Prediction”, Journal of Cognitive Systems Research, Special Issue on Computational Models of Mindreading, 2014
Menachem Domb, Guy Leshem, Elisheva Bonchek-Dokow, Esther David and Yuh-Jye Lee, “Sparse Sampling for Sensing Temporal Data- Building an Optimized Envelope”, Proceedings of the Conference on Technologies and Applications of Artificial Intelligence (TAAI-2016), 2016
Menachem Domb, Elisheva Bonchek-Dokow , Guy Leshem, “Lightweight Adaptive Random-Forest for IoT Rule Generation and Execution”, Journal of Information Security and Applications, 2017
Jonathan Schler, Elisheva Bonchek-Dokow, Tomer Vainstein, Moshe Gotam, Mike Teplitsky, "Utilizing Natural Honeypots for Efficiently Labeling Astroturfer Profiles", Proceedings of the EKAW 2020 Posters and Demonstrations Session, 22nd International Conference on Knowledge Engineering and Knowledge Management, 2020
Jonathan Schler, Elisheva Bonchek-Dokow, Tomer Vainstein, Moshe Gotam, Mike Teplitsky, "Profiling Astroturfing Facebook Users During Three Contiguous Israeli Election Periods", Proceedings of the DEVIANCE 2020 Workshop on Deviant Activities on Social Media, IEEE BigData, 2020
