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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS, IN (Joint) |
2023-08-03 10:51 |
Hokkaido | Banya-no-yu | Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.)  CCS2023-19 |
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models. In th... [more] |
CCS2023-19 pp.13-18 |
| CQ | 2023-07-12 14:50 |
Hokkaido | (Primary: On-site, Secondary: Online) |
A Study on Influencer Prediction Methods Applicable to Dfferent Domains Kota Tahara, Sho Tsugawa (ITF) CQ2023-12 |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] | CQ2023-12 pp.24-29 |
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-02 15:35 |
Hokkaido | Comparison of the Performance between CNN and CRNN Models for Screening Pathological Speech Using Spectrogram Images Naofumi Aoki (Hokkaido Univ.), Keiki Zen (Industrial Research Institute, Hokkaido Research Organization) EA2023-7 |
This study has investigated the possibility of screening pathological speech using machine learning techniques. This pap... [more] | EA2023-7 pp.16-21 |
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| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-30 15:10 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Analysis of Mode Connectivity Between Models with Different Hidden Layer Widths Yusuke Takase, Hidetoshi Shimodaira (Kyoto Univ.) NC2023-20 IBISML2023-20 |
The property known as mode connectivity, where the weights of two neural networks independently trained using the same d... [more] | NC2023-20 IBISML2023-20 pp.129-136 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
MS-Harmonic-Net++ vs SiFi-GAN: Comparison of fundamental frequency controllable fast neural waveform generative models. Sota Shimizu (Kobe Univ./NICT), Takuma Okamoto (NICT), Ryoichi Takashima (Kobe Univ.), Yamato Ohtani (NICT), Tetsuya Takiguchi (Kobe Univ.), Tomoki Toda (Nagoya Univ./NICT), Hisashi Kawai (NICT) SP2023-5 |
Although Harmonic-Net+ has been proposed as a fundamental frequency (fo) and speech rate (SR) controllable fast neural v... [more] | SP2023-5 pp.20-25 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Short Paper]
SBERT-based Musical Components Estimation from Lyrics Trained with Imbalanced "Orpheus" Data Mastuti Puspitasari, Takuya Takahashi (UEC), Gen Hori (AU), Shigeki Sagayama, Toru Nakashika (UEC) SP2023-18 |
This research was done to develop neural models that are capable of estimating appropriate musical components based on l... [more] | SP2023-18 pp.86-90 |
| RCS, IN, NV (Joint) |
2023-05-25 10:50 |
Kanagawa | Keio University (Hiyoshi Campus), and online (Primary: On-site, Secondary: Online) |
Performance Evaluation of Digital Self-Interference Cancellers for In-Band Full-Duplex Systems with High-Power Amplifiers Motoshi Tawada, Yuki Takagi, Yoshichika Ohta (SoftBank) RCS2023-16 |
In-band full-duplex communication (IBFD), which performs transmission and reception in the same frequency band at the sa... [more] | RCS2023-16 pp.13-17 |
| PRMU, IPSJ-CVIM | 2023-05-19 09:50 |
Aichi | (Primary: On-site, Secondary: Online) |
Incorporating Signed Distance Fields to Improve Text-to-3D Generation Zhuofan Sun, Daichi Horita (Univ. of Tokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (Univ. of Tokyo) PRMU2023-9 |
Frameworks for generating 3D objects from text description have been proposed in recent years. These frameworks utilize ... [more] | PRMU2023-9 pp.45-50 |
| NLP, MSS | 2023-03-15 15:15 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Hippocampal CA3 spiking neural network model for constructing never-experienced novel path sequences on a maze task Kensuke Takada, Katsumi Tateno (Kyushu Inst. Tech.) MSS2022-74 NLP2022-119 |
Hippocampal neurons that represent the animal's self-location are called "place cells." In the maze task in rodents, hip... [more] | MSS2022-74 NLP2022-119 p.64 |
| NLP, MSS | 2023-03-15 16:35 |
Nagasaki | (Primary: On-site, Secondary: Online) |
An Trial to Replace Chaotic Neural Networks with Hidden Markov Models.
-- A Case of Method for Solving Asymmetric Traveling Salesman Problems -- Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.), Kaya Nagasawa (Shonan Inst. of Tech.) MSS2022-78 NLP2022-123 |
We have proposed a method for adaptive switching between multiple methods using chaotic neural networks. Our research ha... [more] | MSS2022-78 NLP2022-123 pp.81-84 |
| NLP, MSS | 2023-03-17 14:10 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Qualitative analyses of context vectors generated by Transformers in the neural machine translators Hiroki Azuma, Hideyuki Kato (Oita Univ) MSS2022-103 NLP2022-148 |
Neural machine translators have several types of models, one of which is a Google translator. The translator employs tra... [more] | MSS2022-103 NLP2022-148 pp.192-197 |
| NLP, MSS | 2023-03-17 15:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Chaotic Response of Hardware Small World Neural Network with STDP Takuto Yamaguchi, Katsutoshi Saeki, Yoshiki Sasaki (Nihon Univ.) MSS2022-106 NLP2022-151 |
The role of chaotic activity in the brain function is still unclarified. However, it is possible to estimate the role by... [more] | MSS2022-106 NLP2022-151 pp.210-213 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 15:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
[Invited Talk]
-- Yuma Koizumi (Google Research) PRMU2022-87 IBISML2022-94 |
Machine learning tasks that deal with acoustic signals can be broadly classified into "recognizing sounds" and "generati... [more] | PRMU2022-87 IBISML2022-94 p.149 |
| RCS, SR, SRW (Joint) |
2023-03-01 10:50 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
DNN-based Multi-class Classification for CDL Channels Liu Jingyu, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Unvi.) RCS2022-253 |
Transfer learning-based methods for Channel State Information (CSI) feedback can achieve a good CSI reconstruction matri... [more] | RCS2022-253 pp.36-41 |
| CNR, BioX | 2023-03-01 11:00 |
Oita | (Primary: On-site, Secondary: Online) |
Machine Learning Model for Clothing Coordination Support System Marina Ooi, Haruhisa Hasegawa (Japan Women's Univ.) BioX2022-65 CNR2022-31 |
It is difficult to decide what to wear before going out in consideration of on the weather, TPO, and personal preference... [more] | BioX2022-65 CNR2022-31 pp.19-24 |
| RCS, SR, SRW (Joint) |
2023-03-01 16:05 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Neural Network Based Wideband Digtial Post-distortion for Virtualized Terminal Taishi Watanabe, Takeo Ohseki, Yoshiaki Amano (KDDI Research, Inc.) RCS2022-262 |
A virtualised terminal consisting of a normal user terminal and multiple RF relay devices that perform frequency conver... [more] |
RCS2022-262 pp.88-93 |
| RCS, SR, SRW (Joint) |
2023-03-03 09:30 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Short Paper]
Performance Evaluation on Split Learning Assisted Multi-UAV System for Image Classification Task Sun Tingkai, Wang Xiaoyan (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2022-93 |
Due to its ease of deployment and high mobility, unmanned aerial vehicles (UAVs) have gained popularity for a variety of... [more] | SR2022-93 pp.44-46 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 09:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Comparison of fundamental frequency controllable fast neural waveform generative models. Sota Shimizu (Kobe Univ./NICT), Takuma Okamoto (NICT), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Tomoki Toda (Nagoya Univ./NICT), Hisashi Kawai (NICT) EA2022-75 SIP2022-119 SP2022-39 |
Neural vocoders, which reconstruct speech waveforms from acoustic features with deep neural networks, have significantly... [more] | EA2022-75 SIP2022-119 SP2022-39 pp.1-6 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Anomalous sound detection with complex-valued hybrid neural networks considering phase variations Shota Nishiyama, Akira Tamamori (AIT) EA2022-106 SIP2022-150 SP2022-70 |
Anomalous sound detection is the task of identifying whether an incoming mechanical sound is normal or anomalous. Since ... [more] | EA2022-106 SIP2022-150 SP2022-70 pp.185-190 |
| NC, NLP | 2023-01-29 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] | NLP2022-106 NC2022-90 pp.135-140 |
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