Gal Elidan
About
Gal Elidan has authored 37 papers that have received a total of 1.2k indexed citations.
This includes 30 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 5 papers in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Modeling and Causal Inference (19 papers), Bayesian Methods and Mixture Models (11 papers) and Gaussian Processes and Bayesian Inference (8 papers). Gal Elidan is often cited by papers focused on Bayesian Modeling and Causal Inference (19 papers), Bayesian Methods and Mixture Models (11 papers) and Gaussian Processes and Bayesian Inference (8 papers) and collaborates with scholars based in Israel, United States and France. Gal Elidan's co-authors include Nir Friedman, Daphne Koller, Stephen Jay Gould, Elad Eban and Avinatan Hassidim and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing
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