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Has been teaching and studying machine learning for over 25 years. He has published more than 100 peer-reviewed papers, co-edited two books, served on the program committees of over 60 conferences and workshops, and is an editorial board member of three scientific journals. He is widely credited with co-pioneering research in two major branches of the discipline: induction of time-varying concepts and learning from imbalanced training sets. He also contributed to research in induction from multi-label examples, induction of hierarchically organized classes, genetic algorithms, and initialization of neural networks.
研究兴趣
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WEATHER AND FORECASTINGno. 8 (2023): 1253-1270
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Weather and Forecastingno. 8 (2023): 1253-1270
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AIAA SCITECH 2022 Forum (2022)
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