Tal El-Hay  Tal El-Hay photo       

contact information

Research Staff Member
IBM HRL
  +972dash3dash7689479

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2017

Integrated multisystem analysis in a mental health and criminal justice ecosystem
Erin Falconer, Tal El-Hay, Dimitris Alevras, John P Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi
Health & Justice, 2017


2016

Paradoxical Hypersusceptibility of Drug-Resistant M. tuberculosis to Beta-Lactam Antibiotics
Keira A Cohen*, Tal El-Hay*, Kelly L Wyres*, Omer Weissbrod, Vanisha Munsamy, Chen Yanover, Ranit Aharonov, Oded Shaham, Thomas C Conway, Yaara Goldschmidt, William R Bishai, Alexander S Pym
EBioMedicine, Elsevier, 2016



2014

Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem
Erin Falconer, Tal El-Hay, Dimitris Alevras, John Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi
AMIA Annual Symposium Proceedings, pp. 526, 2014

Structured Proportional Jump Processes
Tal El-Hay, Omer Weissbrod, Elad Eban, Maurizio Zazzi, Francesca Incardona
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence (UAI), 2014


2013

Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome
Michal Ozery-Flato, Naama Parush, Tal El-Hay, Zydrune Visockiene, Ligita Rylivskyte, Jolita Badariene, Svetlana Solovjova, Milda Kovaite, Rokas Navickas, Aleksandras Laucevicius
Diabetology \& metabolic syndrome 5(1), 36, BioMed Central Ltd, 2013


2012

Information-based sequential selection of clinical tests in risk assessment
N. Parush, T. El-Hay, M. Ozery-Flato, L. Ryliskyte, Z. Visockiene, A. Laucevicius
Stud Health Technol Inform180, 781--785, 2012


2010

Mean Field Variational Approximation for Continuous-Time Bayesian Networks
I Cohn*, T El-Hay*, N Friedman, R Kupferman
Journal of Machine Learning Research 11(Oct), 2745, 2010

Continuous-Time Belief Propagation
T El-Hay, I Cohn, N Friedman, R Kupferman
Proc. Twenty Seventh International Conf. on Machine Learning (ICML), 2010


2009

Mean field variational approximation for continuous-time Bayesian networks
I Cohn, T El-Hay, N Friedman, R Kupferman
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, pp. 91--100, 2009


2008

Gibbs sampling in factorized continuous-time Markov processes
T El-Hay, N Friedman, R Kupferman
Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence, pp. 169--178, 2008


2006

Continuous time markov networks
T El-Hay, N Friedman, D Koller, R Kupferman
Proceedings of the Twenty-second Conference on Uncertainty in Artificial Intelligence, 2006


2001

Incorporating expressive graphical models in variational approximations: Chain-graphs and hidden variables
T El-Hay, N Friedman
Proceedings of the Eighteenth Conference in Artificial Intelligence, 2001