Tal El‐Hay

12 papers and 144 indexed citations i.

Tal El‐Hay has authored 12 papers that have received a total of 144 indexed citations. This includes 6 papers in Artificial Intelligence, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Clinical Psychology. The topics of these papers are Bayesian Modeling and Causal Inference (5 papers), Gaussian Processes and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers). Tal El‐Hay is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Gaussian Processes and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (2 papers) and collaborates with scholars based in Israel, United States and Canada. Tal El‐Hay's co-authors include Chen Yanover, Nir Friedman, Raz Kupferman, John P. Docherty and Yaara Goldschmidt and has published in prestigious journals such as Journal of Machine Learning Research, Journal of the American Medical Informatics Association and Statistical Science