Taco Cohen

92 total papers · 4.6k total citations
13 papers, 407 citations indexed

Taco Cohen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Taco Cohen has authored 13 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Taco Cohen’s work include Neural Networks and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Taco Cohen is often cited by papers focused on Neural Networks and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Taco Cohen collaborates with scholars based in Netherlands, United Kingdom and United States. Taco Cohen's co-authors include Max Welling, Jakub M. Tomczak, Amirhossein Habibian, Maurice Weiler, Wouter Boomsma, Mario Geiger, Luisa Zintgraf, Tameem Adel, Tim G. J. de Meij and Andries E. Budding and has published in prestigious journals such as BMC Bioinformatics, Medical Image Analysis and NeuroImage Clinical.