Gabriel Goh

3 papers and 179 indexed citations .

Gabriel Goh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. 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 Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Economics and Econometrics. Recurrent topics in Gabriel Goh’s work include Generative Adversarial Networks and Image Synthesis (1 paper), Imbalanced Data Classification Techniques (1 paper) and COVID-19 epidemiological studies (1 paper). Gabriel Goh is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (1 paper), Imbalanced Data Classification Techniques (1 paper) and COVID-19 epidemiological studies (1 paper). Gabriel Goh collaborates with scholars based in Switzerland, Canada and United States. Gabriel Goh's co-authors include Valentina González-Jaramillo, Syed Khuram Shahzad, Christian L. Althaus, Oscar H. Franco, Rajiv Chowdhury, Abbas Bhuiya, Shamini Prathapan, Kevin Heng, Nathalia González-Jaramillo and Carolina Ochoa‐Rosales and has published in prestigious journals such as European Journal of Epidemiology, International Conference on Machine Learning and Neural Information Processing Systems.