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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 121  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2024-05-15
13:45
Tokyo
(Primary: On-site, Secondary: Online)
Fine-tuning Large Language Models for Automatic Font Skeleton Generation: A First Attempt
Yuxuan Liu (Tokyo Tech), Yasuhisa Fujii (Google Research), Xinru Zhu, Kayoko Nohara (Tokyo Tech)
 [more]
PRMU, IPSJ-CVIM 2024-05-16
15:10
Tokyo
(Primary: On-site, Secondary: Online)
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.)
(To be available after the conference date) [more]
PRMU, IBISML, IPSJ-CVIM 2024-03-03
16:30
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Assessment of the Utility of Tumor Location Information in MR Image Classification
Tsukasa Nishinakagawa, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-43
MRI, or magnetic resonance imaging, is a medical imaging technique widely used in various healthcare settings. It utiliz... [more] IBISML2023-43
pp.21-28
IA 2024-01-25
16:10
Tokyo Kwansei Gakuin Univiversity, Marunouchi Campus
(Primary: On-site, Secondary: Online)
[Poster Presentation] Fluid-based Modeling of TCP BBR Congestion Control Mechanism
Shota Inoue, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2023-65
TCP BBR (Bottleneck Bandwidth and Round-trip propagation time) has been proposed as an efficient congestion control mech... [more] IA2023-65
p.45
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
14:00
Tokushima Naruto University of Education Exploration of Soft Palate Image Based Diagnostic System for High-Risk Individuals of Esophageal Cancer
Keishi Okubo, Masato Kiyama, Motoki Amagasaki, Kotaro Waki, Katsuya Nagaoka, Yasuhito Tanaka (Kumamoto Univ.) NC2023-41
Previous studies have shown that certain findings of the soft palate are associated with the risk of esophageal squamous... [more] NC2023-41
pp.17-22
SIP, IT, RCS 2024-01-18
09:55
Miyagi
(Primary: On-site, Secondary: Online)
A Study on Autoencoder-aided Data-Driven Tuning for Linear Dispersion Code
Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-31 SIP2023-64 RCS2023-206
In this paper, we consider the application of wireless autoencoder (WAE) to a model of code generation rules for linear ... [more] IT2023-31 SIP2023-64 RCS2023-206
pp.7-12
EMM 2024-01-17
10:55
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Detecting Adversarial Examples using Filtering Operation Based on JPEG-Compression-Derived Distortion
Kenta Tsunomori (Okayama Univ.), Minoru Kuribayashi (Tohoku Univ.), Nobuo Funabiki (Okayama Univ.) EMM2023-87
Image classifiers based on convolutional neural networks are caused misclassification by adversarial perturbations. In t... [more] EMM2023-87
pp.38-43
CPSY, IPSJ-ARC, IPSJ-HPC 2023-12-06
10:55
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
CPSY2023-33 (To be available after the conference date) [more] CPSY2023-33
pp.36-41
WIT, SP, IPSJ-SLP [detail] 2023-10-14
16:40
Fukuoka Kyushu Institute of Technology
(Primary: On-site, Secondary: Online)
Sequence-to-sequence Voice Conversion for Electrolaryngeal Speech Enhancement with Multi-stage Pretraining and Fine-tuning Techniques
Ding Ma, Lester Phillip Violeta, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) SP2023-32 WIT2023-23
Sequence-to-sequence (seq2seq) voice conversion (VC) models have great potential for electrolaryngeal (EL) speech to nor... [more] SP2023-32 WIT2023-23
pp.27-32
NLC 2023-09-06
13:20
Osaka Osaka Metropolitan University. Nakamozu Campus.
(Primary: On-site, Secondary: Online)
LoRA Tuning Conversational Japanese Large Language Models using Japanese Instruction Dataset
Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji (UTokyo) NLC2023-1
In this study, we performed LoRA tuning on large language models (LLM) based on both Japanese and English using Japanese... [more] NLC2023-1
pp.1-6
RCS 2023-06-16
10:00
Hokkaido Hokkaido University, and online
(Primary: On-site, Secondary: Online)
A Study on Autoencoder for ICA-Aided MIMO Blind Signal Separation
Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2023-68
 [more] RCS2023-68
pp.235-240
NLC, IPSJ-NL 2023-03-18
11:05
Okinawa OIST
(Primary: On-site, Secondary: Online)
Estimating Named Entity Label Representation for Generative Low-Resource NER
Yuya Sawada (NAIST), Hiroki Teranishi (RIKEN AIP), Hiroki Ouchi (NAIST), Yuji Matsumoto (RIKEN AIP), Taro Watanabe (NAIST) NLC2022-22
Named entity recognition (NER) system needs to identify the entities of novel entity types with fewer examples. Few-shot... [more] NLC2022-22
pp.16-21
IT, RCS, SIP 2023-01-25
12:20
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
A Study on Wireless Autoencoder for Data-Aided Channel Estimation
Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Takanobu Doi, Kazushi Muraoka, Naoto Ishii (NEC), Hisato Iwai (Doshisha Univ.) IT2022-56 SIP2022-107 RCS2022-235
In MIMO (Multiple-Input Multiple-Output) channels, when the channel matrix is obtained by the Data-Aided Channel Estimat... [more] IT2022-56 SIP2022-107 RCS2022-235
pp.154-159
HIP 2022-12-23
16:15
Miyagi Research Institute of Electrical Communication
(Primary: On-site, Secondary: Online)
Enhancement and Inhibition in Size of Visual Attention with Steady State Visual Evoked Potential
Chen Guangyu, Satoshi Shioiri (Tohoku Unvi.) HIP2022-74
This study investigated how human’s spatial attention changes to cover different sizes of visual stimuli. We measured St... [more] HIP2022-74
pp.84-88
CCS 2022-11-17
14:55
Mie
(Primary: On-site, Secondary: Online)
Long-term modeling of financial machine learning with multiple time scales
Kazuki Amagai (Ibaraki Univ.), Riku Tanaka (Daiwa Asset Management), Tomoya Suzuki (Ibaraki Univ.) CCS2022-47
In asset management businesses such as operating mutual funds, medium or long-term investments are common in terms of op... [more] CCS2022-47
pp.19-24
PRMU 2022-10-21
15:25
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Features and Deep Learning Models Suitable for Speech Source Discrimination Method in Plural Voice User Interfaces Environment
Kengo Maeda, Takahiro Yoshida (TUS) PRMU2022-27
Under the situation that plural devices equipped with a voice user interface exist in the user’s environment in the near... [more] PRMU2022-27
pp.29-34
NC, MBE
(Joint)
2022-09-29
13:25
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Tuning properties to Second-order grating in Deep Convolutional Neural Network (DCNN)
Jamal Shah (Iwate Prefectural Univ.), Yoshiyuki R. Shiraishi (HobHop, Inc.), Tomoyuki Naito (Osaka Univ.), Takahisa M. Sanada (Iwate Prefectural Univ.) NC2022-36
Second-order visual feature, such as texture defined edge or contrast defined edge, is an important visual cue for objec... [more] NC2022-36
pp.16-19
AP, MW
(Joint)
2022-09-15
15:05
Ehime The Museum of Art, EHIME
(Primary: On-site, Secondary: Online)
Radio Propagation Prediction using Fine-Tuning method with Few Data
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2022-82
Wireless communication systems, such as Beyond 5G, are expected to be essential social infrastructure, and numerous devi... [more] AP2022-82
pp.62-67
RCS 2022-06-17
10:35
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
A Study on Data-Driven Fine-Tuning for ICA-Aided Blind Signal Separation
Taisuke Nogami, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2022-61
Internet of Things (IoT) communications, which will plays an important role in the next-generation wireless communicatio... [more] RCS2022-61
pp.218-223
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2022-03-11
14:30
Online Online Performance Evaluation on Auto Tuned MPI Communication
Yao Hu, Shoichi Hirasawa (NII), Takumi Honda, Yusuke Nagasaka, Naoto Fukumoto (FUJITSU), Michihiro Koibuchi (NII) CPSY2021-61 DC2021-95
In parallel applications, a significant amount of execution time is spent on exchanging data between processes. MPI (Mes... [more] CPSY2021-61 DC2021-95
pp.97-102
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