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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2022-01-17
11:20		 Online Online CAMRI Loss: Class-wise Additive Angular Margin Loss for Improving Recall of a Specific Class
Daiki Nishiyama (Univ. Tsukuba), Fukuchi Kazuto, Yohei Akimoto, Jun Sakuma (Univ. Tsukuba/RIKEN) IBISML2021-22		 In real-world applications of multiclass classification models, there is a need to increase the recall of classes where ... [more] IBISML2021-22
pp.29-36
IBISML 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA
Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.) IBISML2018-75		 In the field of emergency medical care, decision support systems, which support doctors’ judgements, have attracted. Acc... [more] IBISML2018-75
pp.233-240
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-02
13:00		 Tottori   [Invited Talk] Topics on the Cost in Machine Learning
Shotaro Akaho (AIST) PRMU2013-40 IBISML2013-20		 Most machine learning algorithms minimize some cost functions, therefore
the cost is a general target of research.
... [more]		 PRMU2013-40 IBISML2013-20
pp.47-48
IBISML 2010-11-04
15:00		 Tokyo IIS, Univ. of Tokyo [Poster Presentation] A Study on Simultaneous Feature Selection for Cost-Sensitive Classifiers Using Mixed-Norm Regularization
Toru Sugiura, Kazuaki Koide, Tatsuya Hongo, Masayuki Karasuyama, Ichiro Takeuchi (NIT) IBISML2010-70		 Cost-sensitive learning is useful for binary classification when the
costs of miss-classifications are not symmetric. I... [more]		 IBISML2010-70
pp.83-90
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