基本信息
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Career Trajectory
Bio
His research focuses on foundations of machine learning and data mining, and on their advanced applications to various fields, including marketing, bio-/chemo-informatics, and industrial/business intelligence. His previous research work includes development of kernel methods for structured data such as trees and graphs, predictive modeling of networks including biological and social networks, and anomaly detection for industrial systems. He is recently interested in human computation and crowdsourcing, especially on quality control and crowdsourced data analytics. He also contributes to business based on machine learning techniques, and to a number of issued and disclosed patents.
Research Interests
Papers共 279 篇Author StatisticsCo-AuthorSimilar Experts
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Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part IIIpp.302-315, (2024)
International Conference on Computational Linguistics (2024): 6431-6443
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CoRR (2024)
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Andreas Rauber,Satoshi Oyama,Hisashi Kashima, Naoto Yanai,Jiyi Li,Koh Takeuchi, Akiko Aizawa, Dimitris Plexousakis,Katharina Flicker
ERCIM NEWSpp.9-10, (2024)
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PROCEEDINGS OF THE 2023 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, AIES 2023 (2023): 170-180
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.2866-2876, (2023)
KDDpp.4832-4841, (2023)
KDDpp.2145-2154, (2023)
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