Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-03 10:52 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Evaluation of underspecification in a hot-spot detection support system of bone scintigrams
-- Comparison of pre-market learning and post-market re-learning -- Keisuke Fujimoto (TUAT), Shigeaki Higashiyama, Joji Kawabe (OMU), Ryusuke Nakaoka (NIHS), Akinobu Shimizu (TUAT) MI2023-38 |
(To be available after the conference date) [more] |
MI2023-38 pp.28-29 |
MI |
2024-03-03 11:04 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2023-39 |
(To be available after the conference date) [more] |
MI2023-39 pp.30-31 |
MI |
2024-03-03 11:16 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
MI2023-40 |
(To be available after the conference date) [more] |
MI2023-40 pp.32-33 |
MI |
2024-03-03 13:15 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Special Talk]
Deployment of a computer-aided diagnosis system for bone scintigrams and beyond Akinobu Shimizu (TUAT) MI2023-44 |
[more] |
MI2023-44 p.42 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 15:12 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Multi-class Multi-instance Learning Kaito Shiku, Kazuya Nishimura (Kyushu Univ.), Daiki Suehiro (YCU), Ryoma Bise (Kyushu Univ.) PRMU2023-61 |
(To be available after the conference date) [more] |
PRMU2023-61 pp.59-63 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 09:12 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Creating Adversarial Examples to Deceive Both Humans and Machine Learning Models Ko Fujimori (Waseda Univ.), Toshiki Shibahara (NTT), Daiki Chiba (NTT Security), Mitsuaki Akiyama (NTT), Masato Uchida (Waseda Univ.) PRMU2023-65 |
One of the vulnerability attacks against neural networks is the generation of Adversarial Examples (AE), which induce mi... [more] |
PRMU2023-65 pp.82-87 |
MI |
2024-03-03 16:30 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Conditional statistical shape models for multiple brain regions of human embryos Nao Chikaarashi (TUAT), Tetsuya Takakuwa, Shigehito Yamada (Kyoto Univ.), Akinobu Shimizu (TUAT) MI2023-56 |
(To be available after the conference date) [more] |
MI2023-56 pp.77-78 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 15:30 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Development of a Method of Growth Diagnosis for Mini-tomatoes Using a Color Stereo Camera Hiroki Egawa (Wakayama Univ.), Toshiya Tanaka, Hiromi Hanada (Warm Place Gardening Center), Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-74 |
(To be available after the conference date) [more] |
PRMU2023-74 pp.134-139 |
MI |
2024-03-04 14:00 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Computerized Classification Method for Molecular Subtypes of Low-grade Glioma on Brain MRI Images using Multi-scale 3D CNN with Channel and Spatial Attention Mechanism Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univ.), Kaori Kusuda (THCU), Ken Masamune (TWMU), Yoshihiro Muragaki (Kobe Univ.) MI2023-79 |
The purpose of this study was to develop a computerized classification method for molecular subtypes of low-grade glioma... [more] |
MI2023-79 pp.156-157 |
ET |
2024-03-03 10:50 |
Miyazaki |
Miyazaki University |
Selection Criteria and Diversification of High School Students' Assumptions for Future Employment in Current Social Situation Ryouta Kozakai (NCU), Eisuke Tokiwa (SUNBLAZE Inc) ET2023-66 |
[more] |
ET2023-66 pp.85-91 |
HCS |
2024-03-03 17:10 |
Shizuoka |
Tokoha University(Shizuoka-Kusanagi Campus) |
Temporal Characteristics of Shutter Spikes in Free Shutter Task Kenri Kodaka (NCU), Kentaro Kodama (TMU), Masato Abe (Doshisha), Hisashi Murakami (KIT) HCS2023-114 |
The authors have devised the "Free Shutter Task" as an experimental platform addressing multiple contextual backgrounds ... [more] |
HCS2023-114 pp.147-150 |
AI |
2024-03-01 14:00 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
AOAD-MAT:Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions Shota Takayama, Katsuhide Fujita (TUAT) AI2023-40 |
[more] |
AI2023-40 pp.19-24 |
AI |
2024-03-01 14:40 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
Request span extraction from dialog with Heterogeneous Graph Attention Networks Naoki Mizumoto, Katsuhide Fujita (TUAT) AI2023-41 |
In this study, we formulate the problem of extracting user requests from the dialogue history as a ``span extraction pro... [more] |
AI2023-41 pp.25-30 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 15:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Evaluation of the validity of CNN-based image quality assessment Ririko Harada (Osaka Univ.), Ryo Hayakawa (TUAT), Youji Iiguni (Osaka Univ.) |
[more] |
|
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
EA2023-77 SIP2023-124 SP2023-59 |
In this paper, we consider a dynamic sensor placement problem where sensors can move within a network over time. Sensor ... [more] |
EA2023-77 SIP2023-124 SP2023-59 pp.97-102 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 15:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Lightweight and Interpretable Deep Learning Model for EEG-Based Sleep Stage Classification Aozora Ito, Toshihisa Tanaka (TUAT) EA2023-82 SIP2023-129 SP2023-64 |
Sleep scoring by experts is necessary for diagnosing sleep disorders. EEG is one of the essential physiological data for... [more] |
EA2023-82 SIP2023-129 SP2023-64 pp.127-132 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Comparison of DNN architectures for determined BSS by proximal average of IVA and DNN Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2023-88 SIP2023-135 SP2023-70 |
We have proposed a framework called PA-BSS for high-performance separation matrix estimation using deep denoisers based ... [more] |
EA2023-88 SIP2023-135 SP2023-70 pp.162-167 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 10:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
EEG during music recall: Time-frequency analysis, event-related potential, and directed connectivity Mayu Goto, Ingon Chanpornpakdi, Kazuki Matsunaga, Shuma Ito, Toshihisa Tanaka (TUAT) EA2023-112 SIP2023-159 SP2023-94 |
Humans not only listen to music but can also recall music in their minds.It is known that electroencephalogram (EEG) pow... [more] |
EA2023-112 SIP2023-159 SP2023-94 pp.300-305 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 16:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Synthesizing perceived melody from stereo electroencephalogram Yuta Inaba, Yuiko Kumagai, Naoki Yoshimura, Shuji Komeiji (Tokyo Univ. Agri.&Tech.), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Toshihisa Tanaka (Tokyo Univ. Agri.&Tech.) EA2023-129 SIP2023-176 SP2023-111 |
Estimating perceived music from intracranial electroencephalogram measured with implanted electrodes is challenging. In ... [more] |
EA2023-129 SIP2023-176 SP2023-111 pp.400-405 |
VLD, HWS, ICD |
2024-02-28 16:45 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Research on Routing Method for Spacer-Is-Metal Type Self-Aligned Double Patterning Koki Tanaka, Takuto Amari, Kunihiro Fujiyoshi (TUAT) VLD2023-105 HWS2023-65 ICD2023-94 |
SIM type Self-Aligned Double Patterning is one of the process technologies wiring with a pitch half of the exposure-poss... [more] |
VLD2023-105 HWS2023-65 ICD2023-94 pp.36-41 |