| Do not have enough data? Deep learning to the rescue! A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 7383-7390, 2020 | 372 | 2020 |
| Real-time segmentation of on-line handwritten arabic script G Kour, R Saabne Frontiers in Handwriting Recognition (ICFHR), 2014 14th International …, 2014 | 52 | 2014 |
| Estimate and replace: A novel approach to integrating deep neural networks with existing applications G Hadash, E Kermany, B Carmeli, O Lavi, G Kour, A Jacovi arXiv preprint arXiv:1804.09028, 2018 | 46 | 2018 |
| Fast classification of handwritten on-line arabic characters G Kour, R Saabne 2014 6th International Conference of Soft Computing and Pattern Recognition …, 2014 | 43 | 2014 |
| Neural network gradient-based learning of black-box function interfaces A Jacovi, G Hadash, E Kermany, B Carmeli, O Lavi, G Kour, J Berant arXiv preprint arXiv:1901.03995, 2019 | 17 | 2019 |
| Quality prediction G Kour, Y Toplian, A Vinik US Patent 10,354,210, 2019 | 14 | 2019 |
| Balancing via generation for multi-class text classification improvement N Tepper, E Goldbraich, N Zwerdling, G Kour, AA Tavor, B Carmeli Findings of the Association for Computational Linguistics: EMNLP 2020, 1440-1452, 2020 | 11 | 2020 |
| Measuring the measuring tools: An automatic evaluation of semantic metrics for text corpora G Kour, S Ackerman, O Raz, E Farchi, B Carmeli, A Anaby-Tavor arXiv preprint arXiv:2211.16259, 2022 | 6 | 2022 |
| Not Enough Data? Deep Learning to the Rescue! arXiv 2019 A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... arXiv preprint arXiv:1911.03118, 1911 | 5 | 1911 |
| Removing unnecessary history from reinforcement learning state G Hadash, B Carmeli, G Kour US Patent 11,928,556, 2024 | 2 | 2024 |
| Unveiling Safety Vulnerabilities of Large Language Models G Kour, M Zalmanovici, N Zwerdling, E Goldbraich, ON Fandina, ... arXiv preprint arXiv:2311.04124, 2023 | 2 | 2023 |
| Estimating attentional set-shifting dynamics in varying contextual bandits G Kour, G Morris bioRxiv, 621300, 2019 | 2 | 2019 |
| Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations S Achintalwar, AA Garcia, A Anaby-Tavor, I Baldini, SE Berger, ... arXiv preprint arXiv:2403.06009, 2024 | 1 | 2024 |
| Deep learning testing G Kour, G Hadash, Y Ziser, O Lavi, G Lev US Patent 11,790,239, 2023 | 1 | 2023 |
| Language-model-based data augmentation method for textual classification tasks with little data A Kantor, AA Tavor, B Carmeli, E Goldbraich, G Kour, S Shlomov, ... US Patent 11,526,667, 2022 | 1 | 2022 |
| Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation G Kour, M Zalmanovici, O Raz, S Ackerman, A Anaby-Tavor arXiv preprint arXiv:2112.11832, 2021 | 1 | 2021 |
| Estimating handling time of software defects G Kour, S Strachan, R Regev Third International Conference on Software Engineering (SEC-2017), 2017 | 1 | 2017 |
| Real-time Segmentation and Recognition of On-line Handwritten Arabic Script G Kour TEL AVIV UNIVERSITY, 2014 | 1 | 2014 |
| Dataset balancing via quality-controlled sample generation N Tepper, E Goldbraich, B Carmeli, N Zwerdling, G Kour, AA Tavor US Patent 11,797,516, 2023 | | 2023 |
| Characterizing how'distributional'NLP corpora distance metrics are S Ackerman, G Kour, E Farchi arXiv preprint arXiv:2310.14829, 2023 | | 2023 |
Boaz CarmeliIBM Research - HaifaVerified email at il.ibm.com
