Jordan Ott
About
Jordan Ott has authored 15 papers that have received a total of 374 indexed citations.
This includes 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. The topics of these papers are Machine Learning and Data Classification (4 papers), Advanced Memory and Neural Computing (2 papers) and Climate variability and models (2 papers). Jordan Ott is often cited by papers focused on Machine Learning and Data Classification (4 papers), Advanced Memory and Neural Computing (2 papers) and Climate variability and models (2 papers) and collaborates with scholars based in United States and Germany. Jordan Ott's co-authors include Pierre Baldi, Erik Linstead, Andrew W. Steiner, Tom Beucler and Michael S. Pritchard and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Neural Networks
In The Last Decade
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