Nontawat Charoenphakdee

7 papers and 52 indexed citations i.

Nontawat Charoenphakdee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cancer Research. According to data from OpenAlex, Nontawat Charoenphakdee has authored 7 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Cancer Research. Recurrent topics in Nontawat Charoenphakdee’s work include Machine Learning and Data Classification (4 papers), Imbalanced Data Classification Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nontawat Charoenphakdee is often cited by papers focused on Machine Learning and Data Classification (4 papers), Imbalanced Data Classification Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nontawat Charoenphakdee collaborates with scholars based in Japan, Thailand and South Korea. Nontawat Charoenphakdee's co-authors include Masashi Sugiyama, Junya Honda and Issei Sato and has published in prestigious journals such as Neural Computation, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).