Gabriel Goh

23 total papers · 7.8k total citations
3 papers, 179 citations indexed

Gabriel Goh is a scholar working on Health, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Gabriel Goh has authored 3 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Health, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Gabriel Goh’s work include Imbalanced Data Classification Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Multimodal Machine Learning Applications (1 paper). Gabriel Goh is often cited by papers focused on Imbalanced Data Classification Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Multimodal Machine Learning Applications (1 paper). Gabriel Goh collaborates with scholars based in Bangladesh, Sri Lanka and Chile. Gabriel Goh's co-authors include Abbas Bhuiya, Carolina Ochoa‐Rosales, Valentina González-Jaramillo, Oscar H. Franco, Kevin Heng, Md Shajedur Rahman Shawon, Rajiv Chowdhury, Christian L. Althaus, Shamini Prathapan and Syed Khuram Shahzad and has published in prestigious journals such as European Journal of Epidemiology, Neural Information Processing Systems and International Conference on Machine Learning.