Muktabh Mayank Srivastava

6 papers and 158 indexed citations i.

Muktabh Mayank Srivastava is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Muktabh Mayank Srivastava has authored 6 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Neurology. Recurrent topics in Muktabh Mayank Srivastava’s work include Topic Modeling (3 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Cell Image Analysis Techniques (1 paper). Muktabh Mayank Srivastava is often cited by papers focused on Topic Modeling (3 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Cell Image Analysis Techniques (1 paper). Muktabh Mayank Srivastava collaborates with scholars based in India. Muktabh Mayank Srivastava's co-authors include Pulkit Kumar and Monika Grewal and has published in prestigious journals such as arXiv (Cornell University), 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) and 2021 IEEE Symposium Series on Computational Intelligence (SSCI).