| Do not have enough data? Deep learning to the rescue! A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 7383-7390, 2020 | 470 | 2020 |
| A framework for modeling and evaluating automatic semantic reconciliation A Gal, A Anaby-Tavor, A Trombetta, D Montesi The VLDB Journal 14, 50-67, 2005 | 179 | 2005 |
| Flexible modeling tools for pre-requirements analysis: conceptual architecture and research challenges H Ossher, R Bellamy, I Simmonds, D Amid, A Anaby-Tavor, M Callery, ... Proceedings of the ACM international conference on Object oriented …, 2010 | 53 | 2010 |
| Self-organizing maps for multi-objective Pareto frontiers S Chen, D Amid, OM Shir, L Limonad, D Boaz, A Anaby-Tavor, T Schreck 2013 IEEE pacific visualization symposium (PacificVis), 153-160, 2013 | 45 | 2013 |
| Insights into enterprise conceptual modeling A Anaby-Tavor, D Amid, A Fisher, A Bercovici, H Ossher, M Callery, ... Data & Knowledge Engineering 69 (12), 1302-1318, 2010 | 44 | 2010 |
| Using tagging to identify and organize concerns during pre-requirements analysis H Ossher, D Amid, A Anaby-Tavor, R Bellamy, M Callery, M Desmond, ... 2009 ICSE Workshop on Aspect-Oriented Requirements Engineering and …, 2009 | 31 | 2009 |
| Multiobjective optimization through user interactive navigation in a design space D Amid, A Anaby-Tavor, D Boaz, M Masin, S Chen, O Shir US Patent App. 13/937,231, 2015 | 22 | 2015 |
| Self organizing maps for visualizing an objective space D Amid, A Anaby-Tavor, P Bak, D Boaz, S Chen, OM Shir US Patent 9,104,963, 2015 | 20 | 2015 |
| Business insight toolkit: Flexible pre-requirements modeling H Ossher, R Bellamy, D Amid, A Anaby-Tavor, M Callery, M Desmond, ... 2009 31st International Conference on Software Engineering-Companion Volume …, 2009 | 19 | 2009 |
| Not enough data A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... Deep learning to the rescue, 2019 | 17 | 2019 |
| Towards a model driven service engineering process A Anaby-Tavor, D Amid, A Sela, A Fisher, K Zhang, OT Jun 2008 IEEE Congress on Services-Part I, 503-510, 2008 | 17 | 2008 |
| Detectors for safe and reliable llms: Implementations, uses, and limitations S Achintalwar, AA Garcia, A Anaby-Tavor, I Baldini, SE Berger, ... arXiv preprint arXiv:2403.06009, 2024 | 16 | 2024 |
| Unveiling safety vulnerabilities of large language models G Kour, M Zalmanovici, N Zwerdling, E Goldbraich, ON Fandina, ... arXiv preprint arXiv:2311.04124, 2023 | 16 | 2023 |
| Reliable and interpretable drift detection in streams of short texts E Rabinovich, M Vetzler, S Ackerman, A Anaby-Tavor arXiv preprint arXiv:2305.17750, 2023 | 16 | 2023 |
| Balancing via generation for multi-class text classification improvement N Tepper, E Goldbraich, N Zwerdling, G Kour, AA Tavor, B Carmeli Findings of the Association for Computational Linguistics: EMNLP 2020, 1440-1452, 2020 | 14 | 2020 |
| Towards smart office tools M Desmond, H Ossher, I Simmonds, D Amid, A Anaby-Tavor, M Callery, ... SPLASH 2010 Workshop on Flexible Modeling Tools, 2010 | 14 | 2010 |
| A model for schema integration in heterogeneous databases A Gal, A Trombetta, A Anaby-Tavor, D Montesi Seventh International Database Engineering and Applications Symposium, 2003 …, 2003 | 14 | 2003 |
| Predicting question-answering performance of large language models through semantic consistency E Rabinovich, S Ackerman, O Raz, E Farchi, A Anaby-Tavor arXiv preprint arXiv:2311.01152, 2023 | 13 | 2023 |
| Pareto optimization and tradeoff analysis applied to meta-learning of multiple simulation criteria OM Shir, S Chen, D Amid, D Boaz, A Anaby-Tavor, D Moor 2013 Winter simulations conference (WSC), 89-100, 2013 | 13 | 2013 |
| Measuring the measuring tools: An automatic evaluation of semantic metrics for text corpora G Kour, S Ackerman, O Raz, E Farchi, B Carmeli, A Anaby-Tavor arXiv preprint arXiv:2211.16259, 2022 | 11 | 2022 |
