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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 683  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX 2023-10-12
15:25
Okinawa Nobumoto Ohama Memorial Hall Study on Ear Acoustic Biometric Personal Authentication System using Domain Transformation for Numerical Analysis Data
Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.)
(To be available after the conference date) [more]
SIS, ITE-BCT 2023-10-13
09:30
Yamaguchi HISTORIA UBE
(Primary: On-site, Secondary: Online)
[Invited Talk] Material reservoir computing devices for robot applications, such as in-sensor tactile computing devices
Hirofumi Tanaka (Kyutech)
(To be available after the conference date) [more]
SS, DC 2023-10-11
16:50
Nagano
(Primary: On-site, Secondary: Online)
Low power consumption of neural networks using memory bit reduction and sampling
Hirokazu Kodachi, Masato Kitakami (Chiba Univ.)
(To be available after the conference date) [more]
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains
Kota Tahara, Sho Tsugawa (ITF)
(To be available after the conference date) [more]
NLP, CAS 2023-10-06
16:00
Gifu Work plaza Gifu Behavioral Analysis of sparse binary neural networks
Hiroki Nonaka, Toshimichi Saito (HU) CAS2023-45 NLP2023-44
(To be available after the conference date) [more] CAS2023-45 NLP2023-44
pp.66-69
AI 2023-09-12
14:35
Hokkaido   Cooperative Agents for Federated Learning of Neural Machine Translation
Kantaro Kitagawa (Ritsumeikan Univ), Zhang Yuwang, Yohei Murakami (Ritsumeikan Univ) AI2023-28
Accurate neural machine translation requires large amounts of high-quality bilingual data, however due to the copyright ... [more] AI2023-28
pp.161-166
CQ, MIKA
(Joint)
2023-09-01
09:50
Fukushima Tenjin-Misaki Sports Park [Invited Lecture] An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou, Shintaro Igari (KDX) CQ2023-35
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more] CQ2023-35
pp.54-58
CQ, MIKA
(Joint)
(2nd)
2023-08-30
15:00
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] A Study on Generalization of Broker Identification Methods between Social Networks in Different Domains
Kota Tahara, Sho Tsugawa (ITF)
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more]
CQ, MIKA
(Joint)
(2nd)
2023-08-30
16:20
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou Tsukamoto, Shintaro Igari (KDX)
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more]
SCE 2023-08-08
15:15
Kanagawa Yokohama National Univ.
(Primary: On-site, Secondary: Online)
Design and Implementation of Neuron Circuit Using Adiabatic Quantum-Flux-Parametron Logic
Tomoharu Yamauchi, Hao San (Tokyo City Univ.), Naoki Takeuchi (AIST/Yokohama National Univ.), Nobuyuki Yoshikawa (Yokohama National Univ.), Olivia Chen (Tokyo City Univ.) SCE2023-11
Adiabatic quantum-flux-parametron (AQFP) logic is a promising technology for future energy-efficient,high performance in... [more] SCE2023-11
pp.53-57
EA, ASJ-H, ASJ-MA, ASJ-SP 2023-07-03
10:45
Hokkaido   An Idea about Pretraining in EEG Domain
Xianhua Su (Univ. Yamanashi/HDU), Wanzeng Kong, Xuanyu Jin (HDU), Teruki Toya, Kenji Ozawa (Univ. Yamanashi) EA2023-15
Given that pre-training in the EEG domain is currently performed using unsupervised training, this approach can currentl... [more] EA2023-15
pp.58-63
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
PN, NS, OCS
(Joint)
2023-06-09
14:40
Kagawa
(Primary: On-site, Secondary: Online)
RNN-based Demodulation Framework for Mitigating Spectrum Narrowing
Ryuta Shiraki (Kyoto Univ.), Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) PN2023-15
The use of ultra-dense WDM systems is expected to offer higher spectral efficiency. However, such systems are hindered b... [more] PN2023-15
pp.65-71
CCS, NLP 2023-06-09
10:45
Tokyo Tokyo City Univ. Analysis and synthesis of dynamic binary neural networks: a short review
Toshimichi Saito, Mikito Onuki (HU) NLP2023-20 CCS2023-8
Discrete-time recurrent neural networks are dynamical systems characterized by nonlinear activation functions and connec... [more] NLP2023-20 CCS2023-8
pp.31-34
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
NLP 2023-05-13
10:00
Fukushima Kenshin Koriyama Cultural Center (Koriyama, Fukushima) A Study of Ergodic Sequential Circuit Neuronal Networks for Use in Neuroprosthetic Devices
Yuta Shiomi, Hiroyuki Torikai (Hosei Univ.) NLP2023-1
In this study, we propose a network based on an ergodic ordered circuit neuron model.
We show that the proposed model c... [more]
NLP2023-1
pp.1-4
EMCJ, IEE-EMC, IEE-SPC 2023-05-12
13:15
Okinawa  
(Primary: On-site, Secondary: Online)
Evaluating Transmission Efficiency Impact on Screen Reconstruction Accuracy for High-Resolution Displays
Taiki Kitazawa, Yuichi Hayashi (NAIST) EMCJ2023-6
In TEMPEST attacks targeting high-resolution displays with divided screens, reconstructing screen information proves dif... [more] EMCJ2023-6
pp.1-6
NS 2023-05-12
10:00
Tokyo Shinjuku Campus, Kogakuin University + Online
(Primary: On-site, Secondary: Online)
On Kernel Networking Using extended Berkeley Packet Filter Empowered by Neural Networks
Takanori Hara (NAIST), Masahiro Sasabe (Kansai Univ.) NS2023-15
extended Berkeley Packet Filter (eBPF) is a technology to control a Linux kernel through an arbitrary program. It has be... [more] NS2023-15
pp.26-31
CCS 2023-03-26
13:15
Hokkaido RUSUTSU RESORT Classification performance evaluation of untrained and trained data in Bayesian neural network and CNN ensemble
Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2022-71
The ditection of untrained (Out-of-Distribution; OOD) data is one of the problems in neural networks.
In this study, we... [more]
CCS2022-71
pp.48-53
CCS 2023-03-26
16:05
Hokkaido RUSUTSU RESORT Simple Applications of WiBIC with Asynchronous Pulse Code Multiple Access
Jiaying Lin, Ryuji Nagazawa, Kien Nguyen (Chiba Univ.), Hiroyuki Torikai (Hosei Univ.), Mikio Hasegawa (Tokyo Univ.), Won-Joo Hwang (Pusan National Univ.), Hiroo Sekiya (Chiba Univ.) CCS2022-78
In this study, we propose to combine Spiking Neural Network and IoT network to construct a distributed information proce... [more] CCS2022-78
pp.85-90
 Results 1 - 20 of 683  /  [Next]  
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