| Customization scenarios for de-identification of clinical notes T Hartman, MD Howell, J Dean, S Hoory, R Slyper, I Laish, O Gilon, ... BMC medical informatics and decision making 20, 1-9, 2020 | 39 | 2020 |
| Tight bounds for clairvoyant dynamic bin packing Y Azar, D Vainstein ACM Transactions on Parallel Computing (TOPC) 6 (3), 1-21, 2019 | 26 | 2019 |
| Hierarchical clustering: A 0.585 revenue approximation N Alon, Y Azar, D Vainstein Conference on Learning Theory, 153-162, 2020 | 24 | 2020 |
| Active deep learning to detect demographic traits in free-form clinical notes A Feder, D Vainstein, R Rosenfeld, T Hartman, A Hassidim, Y Matias Journal of Biomedical Informatics 107, 103436, 2020 | 20 | 2020 |
| The price of clustering in bin-packing with applications to bin-packingwith delays Y Azar, Y Emek, R van Stee, D Vainstein The 31st ACM Symposium on Parallelism in Algorithms and Architectures, 1-10, 2019 | 16 | 2019 |
| The min-cost matching with concave delays problem Y Azar, R Ren, D Vainstein Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021 | 14 | 2021 |
| Hierarchical clustering of data streams: Scalable algorithms and approximation guarantees A Rajagopalan, F Vitale, D Vainstein, G Citovsky, CM Procopiuc, ... International conference on machine learning, 8799-8809, 2021 | 8 | 2021 |
| Hierarchical clustering via sketches and hierarchical correlation clustering D Vainstein, V Chatziafratis, G Citovsky, A Rajagopalan, M Mahdian, ... International Conference on Artificial Intelligence and Statistics, 559-567, 2021 | 8 | 2021 |
| Brief announcement: Object oriented consensus Y Afek, J Aspnes, E Cohen, D Vainstein Proceedings of the ACM Symposium on Principles of Distributed Computing, 367-369, 2017 | 4 | 2017 |
| Tree learning: optimal sample complexity and algorithms D Avdiukhin, G Yaroslavtsev, D Vainstein, O Fischer, S Das, F Mirza Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6701-6708, 2023 | 1 | 2023 |
| List Update with Delays or Time Windows Y Azar, S Lewkowicz, D Vainstein arXiv preprint arXiv:2304.06565, 2023 | 1 | 2023 |
| Object oriented consensus Y Afek, J Aspnes, E Cohen, D Vainstein preparation, February, 2017 | 1 | 2017 |
| Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering Y Azar, D Vainstein arXiv preprint arXiv:2305.01367, 2023 | | 2023 |
| Tree Learning: Optimal Algorithms and Sample Complexity D Avdiukhin, G Yaroslavtsev, D Vainstein, O Fischer, S Das, F Mirza arXiv preprint arXiv:2302.04492, 2023 | | 2023 |
| Customization Scenarios for De-identification of Clinical Notes A Hassidim, D Vainstein, GE Bee, G Beryozkin, G Corrado, I Szpektor, ... | | 2020 |
