Ryan G. Gomes
About
Ryan G. Gomes has authored 4 papers that have received a total of 187 indexed citations.
This includes 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. The topics of these papers are Machine Learning and Algorithms (2 papers), Bayesian Methods and Mixture Models (2 papers) and Algorithms and Data Compression (1 paper). Ryan G. Gomes is often cited by papers focused on Machine Learning and Algorithms (2 papers), Bayesian Methods and Mixture Models (2 papers) and Algorithms and Data Compression (1 paper) and collaborates with scholars based in United States. Ryan G. Gomes's co-authors include Pietro Perona, Max Welling and Andreas Krause and has published in prestigious journals such as and
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