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个人简介
Dr. Ghosh's research interests lie primarily in data mining and web mining, ethical/trustworthy/responsible AI, scalable machine learning algorithms, specially for predictive and prescriptive analytics, and applications to a wide variety of complex real-world problems, including health informatics. He has published more than 500 refereed papers and 50 book chapters, and co-edited over 20 books. His research has been supported by the NSF, Yahoo!, Google, Paypal, ONR, ARO, AFOSR, Intel, IBM, etc. He has received 17 Best Paper Awards over the years, including the 2005 Best Research Paper Award across UT and the 1992 Darlington Award given by the IEEE Circuits and Systems Society for the overall Best Paper in the areas of CAS/CAD. Dr. Ghosh has been a plenary/keynote speaker at several venues including KDD, ICML,ICDM and ICHI, and has widely lectured on intelligent analysis of large-scale data.
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arxiv(2024)
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IJCNNpp.1-8, (2023)
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arxiv(2023)
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arxiv(2023)
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