Thomas R. Hancock

15 papers and 153 indexed citations i.

Thomas R. Hancock has authored 15 papers that have received a total of 153 indexed citations. This includes 12 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Algorithms (10 papers), Neural Networks and Applications (5 papers) and Machine Learning and Data Classification (4 papers). Thomas R. Hancock is often cited by papers focused on Machine Learning and Algorithms (10 papers), Neural Networks and Applications (5 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in Canada, United States and Germany. Thomas R. Hancock's co-authors include Nader H. Bshouty, Mostefa Golea, Mario Marchand, Lisa Hellerstein and Sally A. Goldman and has published in prestigious journals such as The Astronomical Journal, Neural Networks and Machine Learning