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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] 2024-06-20
15:00
Okinawa OIST Selective Inference for Reliability Quantification of k-Nearest Neighbor Anomoaly Detection
Mizuki Niihori, Akihumi Yamada (Nagoya Univ.), Masaya Ikuta (NITech), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.)
(To be available after the conference date) [more]
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-29
13:30
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Selective Inference for a Combination of Feature Selection Algorithms
Tatsuya Matsukawa (Nagoya Univ.), Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Koichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2023-1 IBISML2023-1
In data-driven science, classical statistical hypothesis testing does not provide an adequate reliability assessment bec... [more] NC2023-1 IBISML2023-1
pp.1-8
IBISML 2022-12-23
14:30
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Selective Inference for Cluster Level Inference in Brain Image Analysis
Masaya Ikuta, Mizuki Sato (NITech), Akifumi Yamada (Nagoya Univ.), Vo Nguyen Le Duy (NITech/RIKEN), Ryo Emoto (Nagoya Univ.), Yuko Ishimaru, Yuka Takao, Atsushi Kawaguchi (Saga Univ.), Shigeyuki Matsui (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2022-61
Cluster-level inference in brain image analysis is often employed to identify disease-related regions in brain disorders... [more] IBISML2022-61
pp.128-133
IBISML 2022-01-18
13:40
Online Online More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis
Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25
K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide ran... [more] IBISML2021-25
pp.54-60
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
16:10
Online Online More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] NC2021-8 IBISML2021-8
pp.55-61
ITS, WBS, RCC 2020-12-14
10:45
Online Online A Study on Relaxation of Network Restriction in Deep-Unfolding aided Consensus
Shoya Ogawa, Ishii Koji (Kagawa Univ.) WBS2020-11 ITS2020-7 RCC2020-14
In the consensus problem with a complex network, the convergence performance deeply depends on the given parameters, i.e... [more] WBS2020-11 ITS2020-7 RCC2020-14
pp.19-24
 Results 1 - 6 of 6  /   
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