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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 #
MI 2022-07-08
17:00
Hokkaido (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
[Short Paper] Weakly-Supervised Focal Liver Lesion Detection in CT Images
He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] MI2022-40
pp.30-33
MI 2022-01-26
15:00
Online Online (Online) [Special Talk] TBA
Ryoma Bise (Kyushu Univ.) MI2021-66
Supervised learning (e.g., deep learning) has been used for various tasks in biomedical image analysis. While supervised... [more] MI2021-66
p.88
EA, ASJ-H 2021-07-16
13:00
Online Online (Online) Sound event detection based on complementary-label learning
Keigo Wakayama, Shoichiro Saito (NTT) EA2021-17
Sound Event Detection (SED) is an important research field that can be applied to smart cities, and etc. SED estimate th... [more] EA2021-17
pp.77-82
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo (Tokyo) [Poster Presentation] Binary Classification from Positive-Confidence Data
Takashi Ishida (SMAM/UTokyo/RIKEN), Gang Niu (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo) IBISML2017-62
Reducing labeling costs in supervised learning is a critical issue in many practical machine learning applications. In ... [more] IBISML2017-62
pp.207-214
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