Rokach, Lior

8 publications

ECML-PKDD 2025 Improving Pricing Recommendations Using Nearest Neighbors Retrieval via Contrastive Learning and Hard Negatives Mining Eyal Mazuz, Gilad Fuchs, Alexander Nus, Lior Rokach, Bracha Shapira

AAAI 2024 TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness Against Adversarial Examples Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach

MLOSS 2022 Deepchecks: A Library for Testing and Validating Machine Learning Models and Data Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach

AAAI 2022 Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach

IJCAI 2019 AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation Philip Tannor, Lior Rokach

MLJ 2013 Exploiting Label Dependencies for Improved Sample Complexity Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira

IJCAI 2013 Machine-Learning-Based Circuit Synthesis Lior Rokach, Meir Kalech, Gregory M. Provan, Alexander Feldman

JMLR 2012 Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features Gil Tahan, Lior Rokach, Yuval Shahar