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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2025-03-19 16:45 |
Kagawa | Kagawa International Conference Hall (Kagawa, Online) (Primary: On-site, Secondary: Online) |
Classification and Generation Model for Pathological Image Observation Videos Shota Kawakami (Nagoya Univ.), Noriaki Hashimoto (RIKEN), Hiroaki Miyoshi (Kurume Univ.), Jun Sakuma (Science Tokyo), Hidekata Hontani (NITech), Koichi Ohshima (Kurume Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) |
[more] | |
| MI | 2025-03-20 09:39 |
Kagawa | Kagawa International Conference Hall (Kagawa, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
Construction of a Pathology Image Classifier with Quantifiable Uncertainty Evaluation for Cancer Diagnosis Assistance Jiro Onoki, Yasuyuki Tsuchimoto, Tatsuya Yokota (NIT), Koichi Ohshima, Hiroaki Miyoshi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (RIKEN/Nagoya Univ.), Hidekata Hontani (NIT) |
[more] | |
| MI | 2025-03-20 11:14 |
Kagawa | Kagawa International Conference Hall (Kagawa, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Pathology Images for Observing Changes in Cell Tissues with Cancerization in Malignant Lymphoma Ryoichi Koga, Tatsuya Yokota (NITech), Koichi Ohshima, Hiroaki Miyoshi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NITech) |
[more] | |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-18 11:45 |
Shiga | (Shiga, Online) (Primary: On-site, Secondary: Online) |
MultiSensor-Home Dataset and Sensor Integration Method for Wide-area Multi-view Multi-modal Action Recognition Nguyen Trung Thanh (Meidai), Kawanishi Yasutomo, Vijay John (RIKEN), Komamizu Takahiro, Ide Ichiro (Meidai) |
[more] | |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 09:30 |
Shiga | (Shiga, Online) (Primary: On-site, Secondary: Online) |
Incremental Learning of Panoptic Lifting Without Catastrophic Forgetting by Viewpoint Selection for Maximizing Visible Areas Akira Kohjin (Shiga Univ.), Motoharu Sonogashira (RIKEN), Masaaki Iiyama (Shiga Univ.), Yasutomo Kawanishi (RIKEN) |
[more] | |
| EMCJ, MICT (Joint) |
2025-03-14 11:30 |
Nagasaki | (Nagasaki) | Validation of the Effectiveness of Generating and Automatically Anonymizing Atopic Dermatitis Facial Images Using Generative AI and Vision AI Koichi Ashizaki (RIKEN), Shunji Nishida (iret), Ayaka Mori, Tetsuo Ishikawa, Mikiko Nakanishi, Katsuya Higo, Tamotsu Eguchi (RIKEN), Toma Asaoka, Hironori Tanaka, Hiroki Hirano (iret), Eiryo Kawakami, Kazuhiro Sakurada (RIKEN) |
[more] | |
| ICM | 2025-03-13 10:50 |
Okinawa | Ishigaki Civic Hall (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Detecting Harmful Content on Online Social Media for Building a Content Moderation System Taiki Egusa, Yui Ogawa, Shingo Ata (Osaka Metropolitan Univ.), Manato Fujimoto (Osaka Metropolitan Univ./ RIKEN) |
[more] | |
| ICM | 2025-03-14 15:00 |
Okinawa | Ishigaki Civic Hall (Okinawa, Online) (Primary: On-site, Secondary: Online) |
A Proposal for a Tourist Destination Recommender System Combining Conjoint Analysis and Natural Language Processing Yui Ogawa, Shingo Ata (Osaka Metropolitan Univ.), Manato Fujimoto (Osaka Metropolitan Univ./RIKEN AIP) |
[more] | |
| ICSS, IPSJ-SPT | 2025-03-06 13:45 |
Okinawa | Okinawa Prefectural Museum & Art Museum (Okinawa) | Challenges and Improvements in Detection of Malicious Packages in Public Software Package Registries Takaaki Toda (Waseda University), Tatsuya Mori (Waseda University/NICT/RIKEN) |
[more] | |
| ICSS, IPSJ-SPT | 2025-03-06 14:05 |
Okinawa | Okinawa Prefectural Museum & Art Museum (Okinawa) | A Comprehensive Survey on Secure Practices for GitHub Actions Yusuke Kubo (NTT Communications), Takuro Wakai (Waseda Univ.), Tatsuya Mori (Waseda Univ./NICT/RIKEN) |
[more] | |
| ICSS, IPSJ-SPT | 2025-03-07 11:45 |
Okinawa | Okinawa Prefectural Museum & Art Museum (Okinawa) | End-to-End Evaluation of Attack Resilience in V2X Cooperative Perception Kodai Hirai, Yuna Tanaka (Waseda Univ.), Kazuki Nomoto (Waseda Univ./DTCY), Ryunosuke Kobayashi, Go Tsuruoka (Waseda Univ.), Tatsuya Mori (Waseda Univ./NICT/RIKEN) |
[more] | |
| ICSS, IPSJ-SPT | 2025-03-07 14:50 |
Okinawa | Okinawa Prefectural Museum & Art Museum (Okinawa) | The Impact of Annotation Conditions on Adversarial Attacks in Point Cloud Object Detection Ryunosuke Kobayashi, Kazuki Nomoto, Yuna Tanaka, Go Tsuruoka (Waseda Univ.), Tatsuya Mori (Waseda Univ./NICT/RIKEN AIP) |
[more] | |
| IA, SITE, IPSJ-IOT [detail] | 2025-03-05 13:35 |
Kagoshima | Ama-Home Plaza (Kagoshima, Online) (Primary: On-site, Secondary: Online) |
A Study of Generative AI Governance in the Area of Research
-- An Analysis of the Guidelines of Japanese universities -- Kei Ejima (KDDI Research), Kato Naonori (KDDI Research/NFI/RIKEN AIP), Yosuke Murakami (KDDI Research) |
[more] | |
| IA, SITE, IPSJ-IOT [detail] | 2025-03-05 14:00 |
Kagoshima | Ama-Home Plaza (Kagoshima, Online) (Primary: On-site, Secondary: Online) |
A Study of Generative AI Governance in the Area of Research
-- An Analysis of the Guidelines of the European Commission -- Naonori Kato (KDDI Research/NFI/RIKEN AIP), Kei Ejima, Yosuke Murakami (KDDI Research) |
[more] | |
| CQ, CBE (Joint) |
2025-01-30 14:05 |
Fukuoka | (Fukuoka, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
The concept of nonlinear independent component analysis and its application to real data Hiroshi Morioka (RIKEN) |
(To be available after the conference date) [more] | |
| VLD, RECONF | 2025-01-16 16:35 |
Kanagawa | Yokohama Technology Campus Flagship Building (Kanagawa, Online) (Primary: On-site, Secondary: Online) |
 VLD2024-87 RECONF2024-117 |
In this study, a syndrome subgraph algorithm was applied to error information obtained from ancilla qubits. Based on the... [more] | VLD2024-87 RECONF2024-117 pp.64-68 |
| VLD, RECONF | 2025-01-17 13:55 |
Kanagawa | Yokohama Technology Campus Flagship Building (Kanagawa, Online) (Primary: On-site, Secondary: Online) |
Introduction and Evaluation of a Programmable Buffer for Stencil Computation on RIKEN CGRA Takumi Okada, Yasunori Osana, Masahiro Iida (Kumamoto Univ.), Boma Adhi, Kentaro Sano (R-CCS), Omar Ragheb, Jason Anderson (UofT) VLD2024-95 RECONF2024-125 |
Stencil computation is critical in many scientific and technological fields, including numerical simulation and image pr... [more] | VLD2024-95 RECONF2024-125 pp.104-109 |
| IBISML | 2024-12-20 10:50 |
Hokkaido | Lecture room 1 (D101), Graduate School of Environmental Science (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Active learning considering test distribution with Gaussian process regression model Yoshito Okura (Nagoya Univ.), Shion Takeno (Nagoya Univ./RIKEN), Yu Inatsu (NITech), Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane (Nagoya Univ.), Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2024-37 |
Active learning is a method to construct a model with high prediction accuracy with a small number of data by adaptively... [more] | IBISML2024-37 pp.41-48 |
| IBISML | 2024-12-20 17:00 |
Hokkaido | Lecture room 1 (D101), Graduate School of Environmental Science (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space Kazuki Ishikawa, Ryota Ozaki, Yohei Kanzaki (NITech), Ichiro Takeuchi (Nagoya Univ/RIKEN), Masayuki Karasuyama (NITech) IBISML2024-44 |
When making predictions using machine learning, the optimal combination of the machine learning algorithm and hyperparam... [more] | IBISML2024-44 pp.86-93 |
| IBISML | 2024-12-21 11:10 |
Hokkaido | Lecture room 1 (D101), Graduate School of Environmental Science (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Selective Inference for Auto Feature Engineering Tatsuya Matsukawa, Tomohiro Shiraishi (Nagoya Univ.), Shuichi Nishino (Nagoya Univ./RIKEN), Teruyuki Katsuoka (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2024-46 |
Auto Feature Engineering (AFE) is the process of automatically generating meaningful features from raw data to improve t... [more] | IBISML2024-46 pp.100-107 |
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