| Global epidemiology of drug resistance after failure of WHO recommended first-line regimens for adult HIV-1 infection: a multicentre retrospective cohort study. The Lancet infectious diseases 16 (5), 565-575, 2016 | 252 | 2016 |
| Gibbs sampling in factorized continuous-time Markov processes T El-Hay, N Friedman, R Kupferman arXiv preprint arXiv:1206.3251, 2012 | 56 | 2012 |
| Mean field variational approximation for continuous-time Bayesian networks I Cohn, T El-Hay, N Friedman, R Kupferman The Journal of Machine Learning Research 11, 2745-2783, 2010 | 48 | 2010 |
| How the weather affects the pain of citizen scientists using a smartphone app WG Dixon, AL Beukenhorst, BB Yimer, L Cook, A Gasparrini, T El-Hay, ... NPJ digital medicine 2 (1), 105, 2019 | 39 | 2019 |
| Mean field variational approximation for continuous-time Bayesian networks I Cohn, T El-Hay, N Friedman, R Kupferman arXiv preprint arXiv:1205.2655, 2012 | 38 | 2012 |
| Paradoxical Hypersusceptibility of Drug-resistant Mycobacteriumtuberculosis to β-lactam Antibiotics KA Cohen, T El-Hay, KL Wyres, O Weissbrod, V Munsamy, C Yanover, ... EBioMedicine 9, 170-179, 2016 | 37 | 2016 |
| Continuous-Time Belief Propagation. T El-Hay, I Cohn, N Friedman, R Kupferman ICML, 343-350, 2010 | 31 | 2010 |
| Continuous time markov networks T El-Hay, N Friedman, D Koller, R Kupferman arXiv preprint arXiv:1206.6838, 2012 | 25 | 2012 |
| Adversarial balancing for causal inference M Ozery-Flato, P Thodoroff, M Ninio, M Rosen-Zvi, T El-Hay arXiv preprint arXiv:1810.07406, 2018 | 17 | 2018 |
| Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome M Ozery-Flato, N Parush, T El-Hay, Ž Visockienė, L Ryliškytė, J Badarienė, ... Diabetology & metabolic syndrome 5 (1), 1-9, 2013 | 13 | 2013 |
| Integrated multisystem analysis in a mental health and criminal justice ecosystem E Falconer, T El-Hay, D Alevras, JP Docherty, C Yanover, A Kalton, ... Health & Justice 5, 1-8, 2017 | 12 | 2017 |
| Incorporating expressive graphical models in variational approximations: Chain-graphs and hidden variables T El-Hay, N Friedman arXiv preprint arXiv:1301.2268, 2013 | 10 | 2013 |
| Dynamic ranges for viterbi calculations I Bartur, A Globerson, T El-Hay, T Yadid US Patent App. 10/650,040, 2005 | 7 | 2005 |
| Paradoxical hypersusceptibility of drug-resistant Mycobacterium tuberculosis to ß-lactam antibiotics. EBioMedicine 9: 170–179 KA Cohen, T El-Hay, KL Wyres, O Weissbrod, V Munsamy, C Yanover, ... | 5 | 2016 |
| How the weather affects the pain of citizen scientists using a smartphone app. npj Digit Med. 2019 WG Dixon, AL Beukenhorst, BB Yimer, L Cook, A Gasparrini, T El-Hay | 5 | |
| Characterizing Subpopulations with Better Response to Treatment Using Observational Data–an Epilepsy Case Study M Ozery-Flato, T El-Hay, R Aharonov, N Parush-Shear-Yashuv, ... bioRxiv, 290585, 2018 | 3 | 2018 |
| Characterizing subpopulations by exposure response RY Aharonov, T El-Hay, M Flato, Y Goldschmidt, NP Shear-Yashuv, ... US Patent App. 14/953,514, 2017 | 3 | 2017 |
| Adaptation of symbols R Mochary, S Solomon, T El-Hay, T Yadid, I Bartur US Patent 7,676,366, 2010 | 3 | 2010 |
| Efficient methods for exact and approximate inference in discrete graphical models T El-Hay Hebrew University of Jerusalem, 2001 | 3 | 2001 |
| Comment: causal inference competitions: where should we aim? E Karavani, T El-Hay, Y Shimoni, C Yanover | 2 | 2019 |
Nir FriedmanProfessor of Computer Science and Medicine, Hebrew UniversityVerified email at mail.huji.ac.il
