Terrence L. Fine
About
Terrence L. Fine has authored 51 papers that have received a total of 1.5k indexed citations.
This includes 28 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 6 papers in Electrical and Electronic Engineering. The topics of these papers are Bayesian Modeling and Causal Inference (9 papers), Neural Networks and Applications (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). Terrence L. Fine is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Neural Networks and Applications (8 papers) and Spectroscopy and Chemometric Analyses (5 papers) and collaborates with scholars based in United States, Brazil and Taiwan. Terrence L. Fine's co-authors include Sayandev Mukherjee, Chin‐Jen Ku, Martin Harwit, Peter Walley and N. J. A. Sloane and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control
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