A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach JMGLR Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira http://arxiv.org/abs/2007.14805, 2020 | 11* | 2020 |
CyberRank: knowledge elicitation for risk assessment of database security H Grushka-Cohen, O Sofer, O Biller, B Shapira, L Rokach Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 11 | 2016 |
Using bandits for effective database activity monitoring H Grushka-Cohen, O Biller, O Sofer, L Rokach, B Shapira Pacific-Asia Conference on Knowledge Discovery and Data Mining, 701-713, 2020 | 6 | 2020 |
Diversifying database activity monitoring with bandits H Grushka-Cohen, O Biller, O Sofer, L Rokach, B Shapira arXiv preprint arXiv:1910.10777, 2019 | 6 | 2019 |
Sampling high throughput data for anomaly detection of data-base activity H Grushka-Cohen, O Sofer, O Biller, M Dymshits, L Rokach, B Shapira arXiv preprint arXiv:1708.04278, 2017 | 5 | 2017 |
Simulating user activity for assessing effect of sampling on DB activity monitoring anomaly detection H Grushka-Cohen, O Biller, O Sofer, L Rokach, B Shapira Policy-Based Autonomic Data Governance, 82-90, 2019 | 3 | 2019 |
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach (preprint) H Grushka-Cohen, R Cohen, B Shapira, J Moran-Gilad, L Rokach | | 2020 |