Amit Dhurandhar
About
Amit Dhurandhar has authored 42 papers that have received a total of 509 indexed citations.
This includes 36 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Statistics and Probability. The topics of these papers are Explainable Artificial Intelligence (XAI) (15 papers), Machine Learning and Data Classification (9 papers) and Adversarial Robustness in Machine Learning (6 papers). Amit Dhurandhar is often cited by papers focused on Explainable Artificial Intelligence (XAI) (15 papers), Machine Learning and Data Classification (9 papers) and Adversarial Robustness in Machine Learning (6 papers) and collaborates with scholars based in United States, India and Germany. Amit Dhurandhar's co-authors include Yunfeng Zhang, Karthikeyan Shanmugam, Ronny Luss, Pin‐Yu Chen and Guillermo Cecchi and has published in prestigious journals such as Science, Nature Communications and Scientific Reports
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