| Molecule generation using transformers and policy gradient reinforcement learning E Mazuz, G Shtar, B Shapira, L Rokach Scientific Reports 13 (1), 8799, 2023 | 18 | 2023 |
| Iterative boosting deep neural networks for predicting click-through rate A Livne, R Dor, E Mazuz, T Didi, B Shapira, L Rokach arXiv preprint arXiv:2007.13087, 2020 | 4 | 2020 |
| Pretrained transformer models for predicting the withdrawal of drugs from the market E Mazuz, G Shtar, N Kutsky, L Rokach, B Shapira Bioinformatics 39 (8), btad519, 2023 | 2 | 2023 |
| A simplified similarity-based approach for drug-drug interaction prediction G Shtar, A Solomon, E Mazuz, L Rokach, B Shapira Plos one 18 (11), e0293629, 2023 | 1 | 2023 |
| Eravacycline, an antibacterial drug, repurposed for pancreatic cancer therapy: insights from a molecular-based deep learning model A Jabarin, G Shtar, V Feinshtein, E Mazuz, B Shapira, S Ben-Shabat, ... Briefings in Bioinformatics 25 (3), bbae108, 2024 | | 2024 |
| Predicting drug characteristics using biomedical text embedding G Shtar, A Greenstein-Messica, E Mazuz, L Rokach, B Shapira BMC bioinformatics 23 (1), 526, 2022 | | 2022 |
