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Industry-Academia Research Collaborations in the Post-corona Era: A Case Study of Remote Operations in a Japanese State-of-the-Art Research Facility., и . AHFE (8), том 266 из Lecture Notes in Networks and Systems, стр. 429-435. Springer, (2021)An Interactive Independent Topic Analysis for a Mass Document Review Service., , и . Rev. Socionetwork Strateg., 12 (1): 47-69 (2018)Selection of Sensors that Influence Trouble Condition Sign Discovery based on a One-class Support Kernel Machine for Hydroelectric Power Plants., , и . IJCCI, стр. 466-473. SciTePress, (2013)Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval., , и . IAT Workshops, стр. 389-392. IEEE Computer Society, (2006)SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers., , и . ICPRAM, стр. 806-813. SCITEPRESS, (2023)Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants., , и . ICONIP (2), том 5507 из Lecture Notes in Computer Science, стр. 663-670. Springer, (2008)Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances., и . ICANN, том 2130 из Lecture Notes in Computer Science, стр. 692-698. Springer, (2001)Experimental analysis of generalization capability based on information criteria.. ICNN, стр. 114-119. IEEE, (1996)Interactive Abnormal Condition Sign Discovery for Hydroelectric Power Plants., , и . PAKDD Workshops, том 5433 из Lecture Notes in Computer Science, стр. 181-192. Springer, (2008)Document Retrieval Using Feedback of Non-relevant Documents., , и . JSAI Workshops, том 3609 из Lecture Notes in Computer Science, стр. 205-215. Springer, (2004)