Ashwin Ramesh Babu

12 papers and 819 indexed citations i.

Ashwin Ramesh Babu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ashwin Ramesh Babu has authored 12 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ashwin Ramesh Babu’s work include Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Ashwin Ramesh Babu is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Ashwin Ramesh Babu collaborates with scholars based in United States. Ashwin Ramesh Babu's co-authors include Fillia Makedon, Mohammad Zaki Zadeh, Debapriya Banerjee, Ashish Jaiswal, Christos Sevastopoulos, Maria Kyrarini, Harish Ram Nambiappan, Akilesh Rajavenkatanarayanan, Antonio Guillén and Sajad Mousavi and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).