| Bayesian network structure learning by recursive autonomy identification R Yehezkel, B Lerner Journal of Machine Learning Research 10 (Jul), 1527-1570, 2009 | 127* | 2009 |
| System and method for suspect search Y Gurwicz, RY Yehezkel, V Goldner, G Boudoukh, G Blumstein-koren, ... US Patent 9,471,849, 2016 | 87 | 2016 |
| Multiclass object classification for real-time video surveillance systems Y Gurwicz, R Yehezkel, B Lachover Pattern Recognition Letters 32 (6), 805-815, 2011 | 64 | 2011 |
| On the fly deep learning in machine learning for autonomous machines RYY Rohekar US Patent 10,572,773, 2020 | 51 | 2020 |
| Constructing deep neural networks by Bayesian network structure learning RY Rohekar, S Nisimov, Y Gurwicz, G Koren, G Novik Advances in Neural Information Processing Systems (NeurIPS) 2018, 2018 | 38 | 2018 |
| Automatic video summarization RYY Rohekar, G Koren US Patent 9,818,032, 2017 | 28 | 2017 |
| System and method for quick object verification G Blumstein-koren, RY Yehezkel US Patent 8,854,474, 2014 | 27 | 2014 |
| System and method for semantic video content analysis RY Yehezkel, G Blumstein-koren, Y Gurwicz US Patent 8,743,205, 2014 | 27 | 2014 |
| Video indexing with viewer reaction estimation and visual cue detection R Yehezkel, D Stanhill US Patent 9,247,225, 2016 | 24 | 2016 |
| Emotion-related query processing R Rappoport, R Yehezkel, R Fishtein, S Goffman, G Jacob, O Gershon, ... US Patent 9,594,807, 2017 | 22 | 2017 |
| Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias RY Rohekar, S Nisimov, Y Gurwicz, G Novik Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 20 | 2021 |
| Systems and methods for self-learning, content-aware affect recognition R Yehezkel, D Stanhill, E Rond US Patent App. 14/578,623, 2016 | 20 | 2016 |
| Modeling uncertainty by learning a hierarchy of deep neural connections RY Rohekar, Y Gurwicz, S Nisimov, G Novik Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019 | 18* | 2019 |
| Bayesian structure learning by recursive bootstrap RY Rohekar, Y Gurwicz, S Nisimov, G Koren, G Novik Advances in Neural Information Processing Systems (NeurIPS) 2018, 2018 | 18 | 2018 |
| System and method for learning the structure of deep convolutional neural networks G Koren, RYY Rohekar, S Nisimov, G Novik US Patent 11,010,658, 2021 | 14 | 2021 |
| Facilitating dynamic affect-based adaptive representation and reasoning of user behavior on computing devices RY Yehezkel, D Stanhill US Patent 20,160,086,088, 2016 | 14 | 2016 |
| Image storage and retrieval based on eye movements R Yehezkel, M Jacob US Patent 8,942,514, 2012 | 12 | 2012 |
| Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper S Nisimov, Y Gurwicz, RY Rohekar, G Novik Uncertainty in Artificial Intelligence (UAI) 2021, workshop on Tractable …, 2021 | 5 | 2021 |
| From temporal to contemporaneous iterative causal discovery in the presence of latent confounders RY Rohekar, S Nisimov, Y Gurwicz, G Novik International Conference on Machine Learning, 39939-39950, 2023 | 4 | 2023 |
| NLEBS: automatic target detection using a unique nonlinear-enhancement-based system in IR images S Greenberg, R Yehezkel, Y Gurevich, H Guterman Optical Engineering 39 (5), 1369-1376, 2000 | 4 | 2000 |
Shami NisimovResearch Scientist, Intel LabsEmail confirmado em intel.com
