Jerome H. Friedman is affiliated with Stanford University in the United States. Their research spans several fields, primarily focusing on Computer Science and Mathematics. Within these fields, their work covers key subfields including Artificial Intelligence, Statistics and Probability, Health Informatics, Computational Mechanics, and Molecular Biology.
The scientist's research centers on multiple main topics such as Machine Learning and Data Classification, Explainable Artificial Intelligence (XAI), Artificial Intelligence in Healthcare and Education, Imbalanced Data Classification Techniques, Statistical Methods and Inference, Advanced Statistical Methods and Models, and Neural Networks and Applications.
Recent publications by Jerome H. Friedman illustrate this wide research scope. Notable papers include:
Frequent collaborators include Gilmer Valdés, Efstathios D. Gennatas, Robert Tibshirani, Trevor Hastie, and Lyle Ungar.
Jerome H. Friedman's work has appeared in several publication venues with notable frequency, including:
Trevor Hastie;Robert J. Tibshirani;Jerome Friedman
Jerome H. Friedman
John Van Ryzin;Leo Breiman;Jerome H. Friedman;Richard A. Olshen
Jerome Friedman;Trevor Hastie;Robert Tibshirani
Trevor Hastie;Robert Tibshirani;Jerome H. Friedman
Jerome H. Friedman
Trevor Hastie;Robert Tibshirani;Jerome Friedman
Jerome Friedman;Trevor Hastie;Robert Tibshirani
Jerome H. Friedman
Jerome Friedman;Trevor Hastie;Robert Tibshirani
Jerome H. Friedman;Jon Louis Bentley;Raphael Ari Finkel
Jerome H. Friedman;Werner Stuetzle
Jerome H. Friedman
lldiko E. Frank;Jerome H. Friedman
J.H. Friedman;J.W. Tukey
Jerome Friedman;Trevor Hastie;Holger Höfling;Robert Tibshirani
Leo Breiman;Jerome H. Friedman
Noah Simon;Jerome H. Friedman;Trevor Hastie;Rob Tibshirani
Noah Simon;Jerome Friedman;Trevor Hastie;Robert Tibshirani
Jerome H. Friedman
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