| Deepline: Automl tool for pipelines generation using deep reinforcement learning and hierarchical actions filtering Y Heffetz, R Vainshtein, G Katz, L Rokach Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 45 | 2020 |
| Autogrd: Model recommendation through graphical dataset representation N Cohen-Shapira, L Rokach, B Shapira, G Katz, R Vainshtein Proceedings of the 28th ACM International Conference on Information and …, 2019 | 40 | 2019 |
| A hybrid approach for automatic model recommendation R Vainshtein, A Greenstein-Messica, G Katz, B Shapira, L Rokach Proceedings of the 27th ACM International Conference on Information and …, 2018 | 29 | 2018 |
| Rankml: a meta learning-based approach for pre-ranking machine learning pipelines D Laadan, R Vainshtein, Y Curiel, G Katz, L Rokach arXiv preprint arXiv:1911.00108, 2019 | 13 | 2019 |
| MetaTPOT: enhancing a tree-based pipeline optimization tool using meta-learning D Laadan, R Vainshtein, Y Curiel, G Katz, L Rokach Proceedings of the 29th ACM International Conference on Information …, 2020 | 10 | 2020 |
| Assessing the quality of scientific papers R Vainshtein, G Katz, B Shapira, L Rokach arXiv preprint arXiv:1908.04200, 2019 | 3 | 2019 |
| Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks I Dagan, R Vainshtein, G Katz, L Rokach Information Fusion 105, 102210, 2024 | 1 | 2024 |
| Deepcan: Hybrid method for road type classification using vehicle sensor data for smart autonomous mobility A Hadrian, R Vainshtein, B Shapira, L Rokach IEEE Transactions on Intelligent Transportation Systems, 2023 | 1 | 2023 |
| Automatic machine learning derived from scholarly big data A Greenstein-Messica, R Vainshtein, G Katz, B Shapira, L Rokach arXiv preprint arXiv:2003.03470, 2020 | 1 | 2020 |
| Sequence preserving network traffic generation S Shaked, A Zamir, R Vainshtein, M Unger, L Rokach, R Puzis, B Shapira arXiv preprint arXiv:2002.09832, 2020 | 1 | 2020 |
| Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis J Brokman, O Hofman, O Rachmil, I Singh, R Sabapathy, A Priya, ... arXiv preprint arXiv:2410.16527, 2024 | | 2024 |
| MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models J Brokman, O Hofman, R Vainshtein, A Giloni, T Shimizu, I Singh, ... | | 2024 |
| The Branch Not Taken: Predicting Branching in Online Conversations S Meital, L Rokach, R Vainshtein, N Grinberg arXiv preprint arXiv:2404.13613, 2024 | | 2024 |
| ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search I Singh, R Vainshtein, A Zolfi, A Shabtai, T Bui, J Brokman, O Hofman, ... | | 2024 |
| Automatic Assessment of Scientific Papers Quality R Vainshtein Ben-Gurion University of the Negev, Faculty of Engineering Sciences …, 2016 | | 2016 |
