Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
QIT (2nd) |
2024-05-28 - 2024-05-30 |
Ibaraki |
AIST Tsukuba |
[Poster Presentation]
Analysis of interaction networks of qubits and quantum feature maps in a quantum machine learning model Aoi Hayashi (SOKENDAI/OIST/NII), Akitada Sakurai, William J. Munro (OIST), Kae Nemoto (OIST/NII) |
(To be available after the conference date) [more] |
|
SR |
2024-05-21 10:15 |
Kagoshima |
Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
[Short Paper]
An Implementation of Radio Propagation Graph Representation Learning in Multi-hop Path Situations Shimon Takagi, Katsuya Suto (UEC) |
(To be available after the conference date) [more] |
|
AP |
2024-03-15 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212 |
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] |
AP2023-212 pp.63-67 |
MI |
2024-03-03 10:40 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Pilot study of multitask learning for upper abdominal organ extraction and lesion detection on PET/CT images Kohei Yoshida, Mitsutaka Nemoto, Kazuki Otani (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tatsuya Tsuchitani, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-37 |
As one of the studies for highly accurate detection of adrenal metastatic lesions on FDG-PET/CT images, multi-task learn... [more] |
MI2023-37 pp.25-27 |
MI |
2024-03-04 09:00 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Distance-informed adversarial learning for metal artifact reduction Daisuke Shigemori, Megumi Nakao (Kyoto Univ.) MI2023-62 |
In this study, we propose an adversarial learning framework that utilises distance information from metal to reduce CT m... [more] |
MI2023-62 pp.95-98 |
AP, WPT (Joint) |
2024-01-17 16:00 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Proposal of Indoor Radio Propagation Estimation Method Using DCNN
-- On Input Maps for Improving Estimation Accuracy of Out-of-sight Areas -- Masamitsu Irikuchi, Tetsuro Imai (Tokyo Denki Univ.), Koshiro Kitao, Satoshi Suyama (NTTDOCOMO) AP2023-165 |
In the next generation communication system (6G), where further improvement of frequency utilization efficiency and powe... [more] |
AP2023-165 pp.30-34 |
AP, WPT (Joint) |
2024-01-19 15:25 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Radio Propagation Modeling Using CNN with Rectangular Map Data Tatsuya Nagao, Takahiro Hayashi (KDDI Research, Inc.) AP2023-184 |
Recently, machine learning-based methods using environmental information as features have been proposed to model site-sp... [more] |
AP2023-184 pp.126-130 |
AP, WPT (Joint) |
2024-01-19 15:50 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Generation of Virtual City 3D Model for Pathloss Dataset Extension Rento Hagiwara, Koichi Ichige (Yokohama National Univ), Tatsuya Nagao, Takahiro Hyashi (KDDI Research Inc.) AP2023-185 |
In this paper, we propose a method to generate a 3D model of virtual cities for propagation data generation by ray traci... [more] |
AP2023-185 pp.131-136 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Compact Emotional Space Simulating Human Percieve of Emotion Based on Crossmodal Contrastive Learning with Softlabel Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) |
This study aims to explore data-driven emotion modeling by extracting the latent space of emotions from human emotion ex... [more] |
|
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
CoCot: Learning support system for learning using a concept map Yugo Hayashi, Shigen Shimojo, Tatsuyuki Kawamura (Ritsumei Univ.) |
Research on designing new methods for scaffolding collaborative learners has been conducted in the field of Computer-Sup... [more] |
|
NLP |
2023-11-28 10:50 |
Okinawa |
Nago city commerce and industry association |
Investigation of differences in latent variable space for different datasets in Sentence-BERT's image generation model Masato Izumi, Kenya Jin'no (Tokyo City Univ.) NLP2023-61 |
We have verified the degree to which sentence vectors, which are distributed representations of sentences generated by S... [more] |
NLP2023-61 pp.11-14 |
EMCJ |
2023-11-24 13:25 |
Tokyo |
Kikai-Shinko-Kaikan (Primary: On-site, Secondary: Online) |
A Study on Explainability of Convolutional Neural Network Predicting Electric Characteristics of Automotive Wire Harness Based on Score Regression Activation Mapping (Score-RAM) Syumpei Ebina, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EMCJ2023-74 |
In this report, we propose score regression activation mapping (Score-RAM) based on explainable artificial intelligence.... [more] |
EMCJ2023-74 pp.13-18 |
RISING (3rd) |
2023-10-31 13:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Object Position Prediction Leveraging Both-side Angular Power Profiles in mmWave Communications Itsuki Yonemura (Kyoto Univ.), Koji Yamamoto (KIT), Kazunori Hayashi (Kyoto Univ.), Takuto Arai, Shuki Wai, Tatsuhiko Iwakuni, Daisei Uchida, Naoki Kita (NTT) |
This study experimentally demonstrates a novel position prediction leveraging both-side angular power profiles (APPs) sc... [more] |
|
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS |
2023-10-27 14:50 |
Hokkaido |
|
User-adaptable Avatar Posture Manipulation Riku Shinohara (NAIST), Atsushi Hashimoto, Tadashi Kozuno, Shigeo Yoshida (OSX), Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyokawa Kiyoshi (NAIST) MVE2023-29 |
In this study, we propose a system for acquiring a method of manipulating the avatar posture using the user's hands. In ... [more] |
MVE2023-29 pp.40-45 |
RCS |
2023-10-20 14:35 |
Kagawa |
Kagawa University (Saiwai-cho Campus), and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Research Trends of Radio Map Applications for the 6G Era Koya Sato (UEC) RCS2023-147 |
A radio map is a tool for visualizing received signal power values over a spatial domain. Over the last decade, there ha... [more] |
RCS2023-147 p.89 |
MI |
2023-09-08 10:30 |
Osaka |
(Primary: On-site, Secondary: Online) |
Adaptive Selection of Acquisition Parameter for Multi-Parameter Mapping in MRI Huijie Zhang (Tokyo Tech), Shigehide Kuhara (KU), Jun'ichi Takeuchi (QU), Yutaka Jitsumatsu (Tokyo Tech) MI2023-15 |
We have proposed an adaptive and iterative method to determine the acquisition parameters
for a multi-parameter mapping... [more] |
MI2023-15 pp.3-6 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2023-06-29 15:10 |
Okinawa |
OIST Conference Center (Primary: On-site, Secondary: Online) |
Selective Inference for DNN-driven Saliency Map Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Tomohiro Shiraishi (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2023-5 IBISML2023-5 |
The usefulness of image classification using DNN models has been confirmed in various fields, but the prediction mechani... [more] |
NC2023-5 IBISML2023-5 pp.30-34 |
AP |
2023-05-12 10:00 |
Okinawa |
Okinawa Gender Equality Center (Primary: On-site, Secondary: Online) |
A Study on Radio Propagation Modeling using RNN-Encoder with Variable-Size Map Data Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2023-17 |
For efficient evaluation of the performance of wireless systems in physical space, wireless emulation techniques in virt... [more] |
AP2023-17 pp.48-53 |
SR |
2023-05-12 13:55 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Federated Learning-Inspired Gaussian Process Regression: Low Latency Design and Its Application to Radio Map Construction Koya Sato (UEC) SR2023-20 |
Gaussian process regression (GPR) is a non-parametric method that optimizes regression analysis for Gaussian process dat... [more] |
SR2023-20 p.91 |
NLP, MSS |
2023-03-16 13:00 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Applying Machine Learning to Social Applications
-- Attempts toward automation of tasks related to medical care, disaster prevention, and steel bridge maintenance -- Noritaka Shigei (Kagoshima Univ.), Yoichi Ishizuka, Satoshi Sugimoto (Nagasaki Univ.), Chihiro Morita (Univ. of Miyazaki), Masanobu Miyazaki (Miyazaki Medical Clinic), Shinichi Abe, Tomoya Nishino (Nagasaki University Hospital), Hiromi Miyajima (Kagoshima Univ.) MSS2022-86 NLP2022-131 |
In various fields of society, the utilization of machine learning (ML) for efficiency and automation is rapidly advancin... [more] |
MSS2022-86 NLP2022-131 p.120 |