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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2020-12-18
14:55		 Online Online Regularization Using Knowledge Distillation in Learning Small Datasets
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2020-61		 Knowledge distillation is a method mainly used for compressing deep learning models, but it has recently gained attentio... [more] PRMU2020-61
pp.133-138
IBISML 2020-03-11
10:45		 Kyoto Kyoto University
(Cancelled but technical report was issued)		 Calibrated Surrogate Maximization of Linear-Fractional Utility in Binary Classification
Han Bao (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2019-43		 Complex classification performance metrics such as the F-measure and Jaccard index are often used to handle class imbala... [more] IBISML2019-43
pp.71-78
RCS, AP, WBS, MW, MoNA 2005-03-04
10:20		 Kanagawa Yokosuka Research Park Sectorized Calibration of CUBA-ESPAR for Improving Direction Finding Ability
Chen Sun, Akifumi Hirata, Tatsuya Shimizu, Hiroyoshi Yamada, Takashi Ohira (ATR) 		Direction-of-arrival (DOA) estimation plays important roles in various wireless communications scenarios. The circular u... [more] WBS2004-148 AP2004-329 RCS2004-416 MoMuC2004-199 MW2004-326
pp.157-162
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