Jeff Heaton

9 papers and 519 indexed citations i.

Jeff Heaton has authored 9 papers that have received a total of 519 indexed citations. This includes 6 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Cardiology and Cardiovascular Medicine. The topics of these papers are Neural Networks and Applications (3 papers), Machine Learning and Data Classification (2 papers) and Evolutionary Algorithms and Applications (2 papers). Jeff Heaton is often cited by papers focused on Neural Networks and Applications (3 papers), Machine Learning and Data Classification (2 papers) and Evolutionary Algorithms and Applications (2 papers) and collaborates with scholars based in United States and Poland. Jeff Heaton's co-authors include James Cannady, M. Damiano, Randi E. Foraker, Brian P. Cupps and Michael K. Pasque and has published in prestigious journals such as Journal of Machine Learning Research, SAE technical papers on CD-ROM/SAE technical paper series and JACC Heart Failure