Gagandeep Singh
About
Gagandeep Singh has authored 32 papers that have received a total of 865 indexed citations.
This includes 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. The topics of these papers are Adversarial Robustness in Machine Learning (8 papers), Formal Methods in Verification (6 papers) and Advanced Neural Network Applications (6 papers). Gagandeep Singh is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Formal Methods in Verification (6 papers) and Advanced Neural Network Applications (6 papers) and collaborates with scholars based in India, United States and Switzerland. Gagandeep Singh's co-authors include Anil Kumar, Martin Vechev, Markus Püschel, Timon Gehr and Himanshu Singh and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and ACM Transactions on Database Systems.
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