| The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... arXiv preprint arXiv:2002.03419, 2020 | 50 | 2020 |
| Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information D Halbersberg, B Lerner Accident Analysis & Prevention 129, 350-361, 2019 | 31 | 2019 |
| Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier D Halbersberg, M Wienreb, B Lerner Machine Learning 109, 1039-1099, 2020 | 15 | 2020 |
| Temporal modeling of deterioration patterns and clustering for disease prediction of ALS patients D Halbersberg, B Lerner 2019 18th IEEE international conference on machine learning and applications …, 2019 | 11 | 2019 |
| System, method, and computer program for automatic root cause analysis D Halbersberg, V Miranda, E Gal US Patent 10,061,637, 2018 | 7 | 2018 |
| Local to global learning of a latent dynamic Bayesian network D Halbersberg, B Lerner ECAI 2020, 2600-2607, 2020 | 5 | 2020 |
| Learning a Bayesian network classifier by jointly maximizing accuracy and information D Halbersberg, B Lerner Proceedings of the Twenty-second European Conference on Artificial …, 2016 | 4 | 2016 |
| The Alzheimer’s disease prediction of longitudinal evolution (TADPOLE) challenge: results after 1 year follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... ArXiv Preprint ArXiv, 2002 | 3 | 2002 |
| Revenue Maximization at Waterfall Auctions with Dynamic Programming D Halbersberg, M Halevi, M Salhov 2022 IEEE International Conference on Big Data (Big Data), 1622-1631, 2022 | 1 | 2022 |
| Search and score-based waterfall auction optimization D Halbersberg, M Halevi, M Salhov International Conference on Learning and Intelligent Optimization, 361-378, 2022 | 1 | 2022 |
| Transfer learning of photometric phenotypes in agriculture using metadata D Halbersberg, AB Hillel, S Mendelson, D Koster, L Karol, B Lerner arXiv preprint arXiv:2004.00303, 2020 | 1 | 2020 |
| Temporal-Based Action Graph with Sequential Pattern Mining for Churn Detection: a Playtika Case Study D Halbersberg, R Yasinnik, M Halevi, M Salhov 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
| Learning Temporal Latent Variable Models D Halbersberg, B Lerner 2018 International Symposium on Cyber Security Cryptology and Machine Learning, 2018 | | 2018 |
| Scoring a Structure in Learning a Bayesian Network Classifier D Halbersberg Ben-Gurion University of the Negev, Faculty of Engeening Sciences …, 2012 | | 2012 |
