Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks G Simchoni, S Rosset Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 15 | 2021 |
Integrating Random Effects in Deep Neural Networks G Simchoni, S Rosset Journal of Machine Learning Research 24, 1-57, 2023 | 14 | 2023 |
Browse node creation using frequent pattern mining A Zhicharevich, G Simchoni, A Dagan, D Hurwitz US Patent 10,838,984, 2020 | 9 | 2020 |
Using machine learning clustering to find large coverage holes R Gal, G Simchoni, A Ziv Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 139-144, 2020 | 3 | 2020 |
Risk analysis based on design version control data R Gal, G Shurek, G Simchoni, A Ziv 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD), 1-6, 2019 | 2 | 2019 |
Coverage analysis with event clustering R Gal, A Ziv, G Simchoni US Patent 11,640,421, 2023 | 1 | 2023 |
Selecting test-templates using template-aware coverage data R Gal, G Simchoni, A Ziv US Patent 11,151,021, 2021 | 1 | 2021 |
Browse node creation using frequent pattern mining A Zhicharevich, G Simchoni, A Dagan, D Hurwitz US Patent 11,397,758, 2022 | | 2022 |
Risk-focused testing R Gal, G Shurek, G Simchoni, A Ziv US Patent 11,119,895, 2021 | | 2021 |