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All Technical Committee Conferences (Searched in: Recent 10 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)  MI2024-65 |
(To be available after the conference date) [more] | MI2024-65 pp.72-75 |
| ICTSSL, IEE-SMF, IN | 2021-10-22 10:50 |
Online | Online (Online) | Differences in Classification Accuracy of Landslide Hazard using Fixed-point Observation Images due to Network and Image Processing in Deep Learning Keisuke Tokumoto, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2021-26 |
In recent years，several landslides included by heavy rains have caused a lot of human damage in Hiroshima. Early evacuat... [more] | ICTSSL2021-26 pp.48-53 |
| TL | 2021-09-18 16:05 |
Online | Online (Online) | [Keynote Address]
Neural Network as an Explainable Human
-- A New Approach to Contrastive Studies -- Yugo Murawaki (Kyoto Univ.) TL2021-16 |
In this talk, I argue that techniques developed in the field of explainable AI (XAI) have potential applications in comp... [more] | TL2021-16 pp.23-27 |
| ET | 2021-09-10 14:30 |
Online | Online (Online) | Study on Analyzation of Class Observation Different between Expert Teachers and Beginner Teachers Sho Ooi (OIT), Takeshi Goto (Oji E.S.) ET2021-14 |
The aim of our study that we develop a reflection system for improving beginner teachers' teaching skills, and we have a... [more] | ET2021-14 pp.35-38 |
| PRMU | 2020-12-18 11:15 |
Online | Online (Online) | Supervised disentangled representation learning
-- Disentangling features using classifier -- Shujiro Kuroda, Toshikazu Wada (Wakayama Univ.) PRMU2020-58 |
VAE is a DNN model for unsupervised representation learning. VAE learns to extract features from the input data as laten... [more] | PRMU2020-58 pp.116-121 |
| ET | 2020-12-12 14:30 |
Online | Online (Online) | A Study on Quantification Analysis when class observation between Beginner Teacher and Expert Teacher Sho Ooi (Rits), Takeshi Goto (Oji E.S.) ET2020-42 |
Beginner teachers are low teaching ability than expert teachers because they are a few teaching experiences in practice.... [more] | ET2020-42 pp.43-46 |
| EMM | 2020-03-05 16:45 |
Okinawa | (Okinawa) (Cancelled but technical report was issued) |
[Poster Presentation]
Detecting Adversarial Examples Based on Sensitivities to Lossy Compression Algorithms Akinori Higashi, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) EMM2019-123 |
The adversarial examples are created by adding small perturbations to an input image for misleading an CNN-based image c... [more] | EMM2019-123 pp.113-116 |
| SANE | 2018-11-09 11:50 |
Overseas | China (Xuchang) (Overseas) | Maritime Domain Awareness (MDA): Ship Detection by Spaceborne Synthetic Aperture Radar Kazuo Ouchi (KIOST), Gerard M. Martin (GMV), Chan-Su Yang (KIOST) SANE2018-89 |
In recent years, Maritime Main Awareness (MDA) has attracted much attention. One of the important issues of MDA is ship ... [more] | SANE2018-89 pp.165-169 |
| IBISML | 2018-03-06 11:15 |
Fukuoka | Nishijin Plaza, Kyushu University (Fukuoka) | Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN) IBISML2017-101 |
We study classification problem on the sequences of continuous observations. In particular, we are interested in identif... [more] | IBISML2017-101 pp.77-84 |
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