Christopher Fifty

2 papers and 109 indexed citations i.

Christopher Fifty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Christopher Fifty has authored 2 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Christopher Fifty’s work include Advanced Graph Neural Networks (1 paper), Graph Theory and Algorithms (1 paper) and Multimodal Machine Learning Applications (1 paper). Christopher Fifty is often cited by papers focused on Advanced Graph Neural Networks (1 paper), Graph Theory and Algorithms (1 paper) and Multimodal Machine Learning Applications (1 paper). Christopher Fifty collaborates with scholars based in United States, Japan and China. Christopher Fifty's co-authors include Tianyi Zhang, Felix Wu, Kilian Q. Weinberger, Amauri H. Souza, Tao Yu, Bo Dai, Zhe Zhao, Lichan Hong, Ed H. and Wei Li and has published in prestigious journals such as International Conference on Machine Learning and Proceedings of the ACM Web Conference 2022.