| A word at a time: computing word relatedness using temporal semantic analysis K Radinsky, E Agichtein, E Gabrilovich, S Markovitch Proceedings of the 20th international conference on World wide web, 337-346, 2011 | 602 | 2011 |
| Realtime multiple engine selection and combining K Radinsky, R Varshavsky, JW Stokes, V Holostov, E Schaefer US Patent 8,869,277, 2014 | 353 | 2014 |
| Learning causality for news events prediction K Radinsky, S Davidovich, S Markovitch Proceedings of the 21st international conference on World Wide Web, 909-918, 2012 | 295 | 2012 |
| Mining the web to predict future events K Radinsky, E Horvitz Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 253 | 2013 |
| Node embedding over temporal graphs U Singer, I Guy, K Radinsky arXiv preprint arXiv:1903.08889, 2019 | 180 | 2019 |
| Time-sensitive query auto-completion M Shokouhi, K Radinsky Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 172 | 2012 |
| Social network based contextual ranking EJ Neystadt, R Karidi, YT Weisfeild, R Varshavsky, A Oron, K Radinsky US Patent 9,870,424, 2018 | 166 | 2018 |
| Modeling and predicting behavioral dynamics on the web K Radinsky, K Svore, S Dumais, J Teevan, A Bocharov, E Horvitz Proceedings of the 21st international conference on World Wide Web, 599-608, 2012 | 160 | 2012 |
| Pgans: Personalized generative adversarial networks for ecg synthesis to improve patient-specific deep ecg classification T Golany, K Radinsky Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 557-564, 2019 | 143 | 2019 |
| Named entity disambiguation for noisy text Y Eshel, N Cohen, K Radinsky, S Markovitch, I Yamada, O Levy arXiv preprint arXiv:1706.09147, 2017 | 111 | 2017 |
| Social influencers discovery EJ Neystadt, R Karidi, YT Weisfeild, M Tennenholtz, K Radinsky, ... US Patent App. 13/042,463, 2012 | 111 | 2012 |
| SimGANs: Simulator-based generative adversarial networks for ECG synthesis to improve deep ECG classification T Golany, K Radinsky, D Freedman International Conference on Machine Learning, 3597-3606, 2020 | 83 | 2020 |
| 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 | 74 | 2020 |
| Learning to predict from textual data K Radinsky, S Davidovich, S Markovitch Journal of Artificial Intelligence Research 45, 641-684, 2012 | 74 | 2012 |
| Predicting the news of tomorrow using patterns in web search queries K Radinsky, S Davidovich, S Markovitch 2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008 | 74 | 2008 |
| Predicting content change on the web K Radinsky, PN Bennett Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 72 | 2013 |
| Behavioral dynamics on the web: Learning, modeling, and prediction K Radinsky, KM Svore, ST Dumais, M Shokouhi, J Teevan, A Bocharov, ... ACM Transactions on Information Systems (TOIS) 31 (3), 1-37, 2013 | 68 | 2013 |
| Improving ECG classification using generative adversarial networks T Golany, G Lavee, ST Yarden, K Radinsky Proceedings of the AAAI conference on artificial intelligence 34 (08), 13280 …, 2020 | 65 | 2020 |
| Time masking for temporal language models GD Rosin, I Guy, K Radinsky Proceedings of the fifteenth ACM international conference on Web search and …, 2022 | 63 | 2022 |
| Social Marketing Manager J Neystadt, R Karidi, YT Weisfeld, R Varshavsky, A Oron, K Radinsky, ... US Patent App. 13/025,049, 2012 | 59 | 2012 |
