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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 11:10 |
Okinawa | OIST | Random Fourier feature latent variable model for user preference embedding and analysis Kazuaki Takehara (SOKENDAI), Daichi Mochihashi (ISM) |
(To be available after the conference date) [more] | |
| NLP, CCS | 2024-06-07 10:20 |
Fukuoka | West Japan General Exhibition Center AIM | Investigating the latent variable space of different natural language processing architectures with generative images Masato Izumi, Kenya Jin'no (Tokyo City Univ) |
(To be available after the conference date) [more] | |
| ICSS, IPSJ-SPT | 2024-03-22 11:45 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Impact of ChatGPT Assisted Polymorphic Malware on Antivirus Detection Huang Zhewei, Yinn Minn Pa pa, Katsunari Yoshioka, Tsutomu Matsumoto (YNU)  ICSS2023-89 |
With the rapid implementation of large-scale language models (LLMs), there are concerns about their misuse in cyberattac... [more] | ICSS2023-89 pp.145-152 |
| KBSE | 2024-03-15 13:20 |
Okinawa | Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
On Improvement of Variability Model Division Method Tomoji Kishi (Waseda Univ.) KBSE2023-87 |
The analysis and verification of variability models are often based on logic, but the number of configurations of a vari... [more] | KBSE2023-87 pp.120-125 |
| NLC, IPSJ-NL | 2024-03-10 18:55 |
Hyogo | (Primary: On-site, Secondary: Online) |
Language Model for Variable Definition Extraction from Chemical Process-related Papers Shota Kato, Kotaro Nagayama, Manabu Kano (Kyoto Univ.) NLC2023-25 |
Extracting variable definitions from scientific papers is crucial for understanding and leveraging research findings, ye... [more] | NLC2023-25 pp.13-18 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:00 |
Tokushima | Naruto University of Education | The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45 |
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] | NLP2023-99 MICT2023-54 MBE2023-45 pp.78-81 |
| IBISML | 2023-12-20 16:25 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Anomaly detection by deep support data descriptions with pseudo-anomaly data Shuta Tsuchio, Takuya Kitamura (NIT, Toyama college) IBISML2023-34 |
This paper presents deep support vector data description (DSVDD) with pseudo-anomaly data that generated by generative m... [more] | IBISML2023-34 pp.25-30 |
| KBSE, SC | 2023-11-17 15:30 |
Miyagi | Sento Kaikan | Variability Model Division for Scalability Improvement Tomoji Kishi (WU) KBSE2023-37 SC2023-20 |
Variability models have been used for logic-based analysis and verification, but the number of variations is combinatori... [more] | KBSE2023-37 SC2023-20 pp.31-36 |
| AI | 2023-09-12 15:35 |
Hokkaido | Variational Autoencoder Oriented Protection for Intellectual Property Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2023-31 |
In recent years, generative AI, which generates images based on instructions in natural language, has developed rapidly ... [more] | AI2023-31 pp.180-186 |
|
| MSS, CAS, SIP, VLD | 2023-07-06 14:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Convergence Acceleration of Particle-based Variational Inference by Deep Unfolding Yuya Kawamura, Satoshi Takabe (Tokyo Tech) CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 |
Stein Variational Gradient Descent(SVGD) is a prominent particle-based variational inference method used for estimating ... [more] | CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 pp.37-42 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-07-01 10:45 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
A Study on generating First-Person Video in moving daily space using variational auto encoders Xu Chenfei (Osaka Univ.), Okadome Yuya (TUS), Ishiguro Hiroshi (Osaka Univ.), Nakamura Yutaka (RIKEN) NC2023-24 IBISML2023-24 |
Current researches on robot navigation mainly emphasize on responsive behaviors, but it usually presents insufficient inte... [more] | NC2023-24 IBISML2023-24 pp.153-158 |
| NLC, IPSJ-NL | 2023-03-18 10:45 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Variable Description Prediction Method Based on Nomenclature in Chemical Engineering Domain Papers Shota Kato, Manabu Kano (Kyoto U.) NLC2022-21 |
Digital twins require a physical model, but physical model building requires significant effort. To streamline the arduo... [more] | NLC2022-21 pp.12-15 |
| R | 2023-03-10 16:40 |
Hiroshima | (Primary: On-site, Secondary: Online) |
A Study on a Statistical Detection Method for Cascading Failure of Bearings Based on Copula Models Mitsuhiro Kimura (Hosei Univ.), Shuhei Ota (Kanagawa Univ.) R2022-56 |
The present paper analyzes the IMS dataset from an accelerated testing environment of four coaxially mounted roller elem... [more] | R2022-56 pp.47-52 |
| MI | 2023-03-06 09:44 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Machine learning models using CT images and clinical variable to classify tumors in testicular cancer Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba) MI2022-75 |
This paper presents machine learning methods to classify tumors in testicular cancer. The model combines CT images and c... [more] | MI2022-75 pp.8-13 |
| 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 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:45 |
Hokkaido | Hokkaido Univ. | A Note on Improvement of Supervised Latent Variable Model with Graph-Encoded Class Information Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Supervised latent variable models aim to estimate a manifold from original data and supervised information, such as clas... [more] | |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
| QIT (2nd) |
2022-12-08 09:45 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
Trade-off relations between measurement dependence and hiddenness for separable hidden variable models Ryo Takakura (Kyoto Univ.), Kei Morisue (Waseda Univ.), Issei Watanabe, Gen Kimura (SIT) |
The Bell theorem is investigated as a trade-off relation between assumptions for the underlying hidden variable model. C... [more] | |
| QIT (2nd) |
2022-12-08 17:45 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
Optimal Measurement Configurations for Sequential Quantum Optimization of Variational Quantum Eigensolver Katsuhiro Endo (AIST/Keio Univ.), Hiroshi Watanabe (Keio Univ.), Yuki Sato (Toyota Central R&D Labs., Inc./Keio Univ.), Rudy Raymond (IBM Japan,Ltd./Keio Univ./The Univ. of Tokyo), Naoki Yamamoto, Mayu Muramatsu (Keio Univ.) |
Variational Quantum Eigenvalue solver (VQE) is a hybrid algorithm that optimizes a quantum state represented by a parame... [more] | |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 15:05 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Predictive Model of Heat Stress Using Heart Rate Variability Analysis Yusuke Shimada, Masashi Sugano (Osaka Metro. Univ.) SeMI2022-47 |
Predicting and controlling heat stress leads to comfort. Because People have different feelings against heat, we need a ... [more] | SeMI2022-47 pp.127-132 |
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