Nicholas Watters

18 total papers · 697 total citations
4 papers, 72 citations indexed

Nicholas Watters is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nicholas Watters has authored 4 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Nicholas Watters’s work include Machine Learning in Healthcare (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Nicholas Watters is often cited by papers focused on Machine Learning in Healthcare (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Nicholas Watters collaborates with scholars based in United States and United Kingdom. Nicholas Watters's co-authors include Théophane Weber, Peter Battaglia, Andrea Tacchetti, Daniel Zoran, Razvan Pascanu, Löıc Matthey, Alessandro Achille, Alexander Lerchner, George N. Reeke and Tom Eccles and has published in prestigious journals such as Neural Computation, arXiv (Cornell University) and Neural Information Processing Systems.