| Machine learning algorithm for early detection of end-stage renal disease Z Segal, D Kalifa, K Radinsky, B Ehrenberg, G Elad, G Maor, M Lewis, ... BMC nephrology 21, 1-10, 2020 | 62 | 2020 |
| Generating product descriptions from user reviews S Novgorodov, I Guy, G Elad, K Radinsky The world wide web conference, 1354-1364, 2019 | 45 | 2019 |
| Development of a machine learning algorithm for early detection of opioid use disorder Z Segal, K Radinsky, G Elad, G Marom, M Beladev, M Lewis, B Ehrenberg, ... Pharmacology Research & Perspectives 8 (6), e00669, 2020 | 28 | 2020 |
| Descriptions from the customers: comparative analysis of review-based product description generation methods S Novgorodov, I Guy, G Elad, K Radinsky ACM Transactions on Internet Technology (TOIT) 20 (4), 1-31, 2020 | 15 | 2020 |
| Learning to generate personalized product descriptions G Elad, I Guy, S Novgorodov, B Kimelfeld, K Radinsky Proceedings of the 28th ACM International Conference on Information and …, 2019 | 14 | 2019 |
| Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients M Lewis, G Elad, M Beladev, G Maor, K Radinsky, D Hermann, Y Litani, ... Scientific reports 11 (1), 1164, 2021 | 13 | 2021 |
| Predicting strategic behavior from free text O Ben-Porat, S Hirsch, L Kuchy, G Elad, R Reichart, M Tennenholtz Journal of Artificial Intelligence Research 68, 413–445-413–445, 2020 | 11 | 2020 |
| Generating personalized product descriptions from user reviews G Elad, K Radinsky, B Kimelfeld Computer Science Department, Technion, 2019 | 2 | 2019 |
