Christopher Fifty

2 papers and 73 indexed citations .

Christopher Fifty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Agricultural and Biological Sciences. According to data from OpenAlex, Christopher Fifty has authored 2 papers receiving a total of 73 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 General Agricultural and Biological Sciences. Recurrent topics in Christopher Fifty’s work include Multimodal Machine Learning Applications (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Advanced Graph Neural Networks (1 paper). Christopher Fifty is often cited by papers focused on Multimodal Machine Learning Applications (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Advanced Graph Neural Networks (1 paper). Christopher Fifty collaborates with scholars based in United States, China and Japan. Christopher Fifty's co-authors include Tao Yu, Amauri H. Souza, Kilian Q. Weinberger, Felix Wu, Ed H., Yuyan Wang, Dong Lin, Lichan Hong, Wei Li and Bo Dai and has published in prestigious journals such as International Conference on Machine Learning and Proceedings of the ACM Web Conference 2022.