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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2025-03-13 16:45 |
Okinawa | Miyakojima City Central Community Center | Effectiveness of an Improved LSTM Autoencoder for classification tasks of ECG signals Measured Through Clothes Ishii Yuuma (TDU), Itoh Yoshitaka (HUS), Kudo Iori, Ueno Akinori, Adachi Yasuharu (TDU)  MSS2024-83 NLP2024-124 |
In order to improve the classification accuracy of a method using an electrocardiogram measuring device that can pass th... [more] | MSS2024-83 NLP2024-124 pp.82-84 |
| MVE, CQ, IMQ, IE (Joint) [detail] |
2025-03-05 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Oxygen Saturation Estimation via Adaptive Fusion of RGB/NIR Signals Using Autoencoders Rika Harada (Tsuda Univ.), Daisuke Sugimura (TMU) IMQ2024-13 IE2024-91 MVE2024-30 |
We propose a method for oxygen saturation estimation using an RGB/NIR camera that is robust to illumination variations. ... [more] | IMQ2024-13 IE2024-91 MVE2024-30 pp.1-6 |
| HWS, ICD, VLD | 2025-03-08 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Optimizing Deep Learning Based Side-Channel Attacks Methods by Preprocessing Based on Autoencoder Masaki Morita, Takuya Kojima, Haruto Ishii, Hideki Takase, Hiroshi Nakamura (UTokyo) VLD2024-136 HWS2024-107 ICD2024-127 |
Side Channel Attacks that use physical leakage information, such as power consumption, to infer the internal state of cr... [more] | VLD2024-136 HWS2024-107 ICD2024-127 pp.188-193 |
| SeMI | 2025-01-23 13:40 |
Kanagawa | N/A Hayato Terasoma, Yusuke Ikemura, Takuma Matsukawa, Sorachi Kato, Takuya Fujihashi (Osaka Univ.), Tomoki Murakami (NTT), Takashi Watanabe, Shunsuke Saruwatari (Osaka Univ.) SeMI2024-62 |
N/A [more] | SeMI2024-62 pp.1-6 |
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| IBISML | 2024-12-21 16:10 |
Hokkaido | Lecture room 1 (D101), Graduate School of Environmental Science (Primary: On-site, Secondary: Online) |
Concept Drift Detection Using Unupdated Autoencoder Taisei Takano, Hisashi Koga (UEC) IBISML2024-55 |
In analyzing data streams, it is important to detect concept drifts, as they deteriorate the classification model. Autoe... [more] | IBISML2024-55 pp.167-174 |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-30 14:40 |
Fukui | (Primary: On-site, Secondary: Online) |
Feature Analysis of Adversarial Examples in Perception and Reconstruction Takumi Maeda (Koshi High School), Soichiro Kumano, Toshihiko Yamasaki (UTokyo) PRMU2024-28 |
In image recognition and reconstruction tasks using autoencoders, it is known that deep features through models differ. ... [more] | PRMU2024-28 pp.101-104 |
| NLP | 2024-09-05 13:25 |
Gifu | Takayama City Library | Improved LSTM Autoencoder for ECG Measured Through Clothes Ishii Yuuma (TDU), Itoh Yoshitaka (HUS), Kudo Iori, Ueno Akinori, Adachi Masaharu (TDU) NLP2024-44 |
In the previous research, a method was investigated using an electrocardiogram(ECG) measuring device that can be passed ... [more] | NLP2024-44 pp.18-20 |
| NLP | 2024-09-06 13:25 |
Gifu | Takayama City Library | Masked Autoencoders with Dynamic Modulation of Difficulty in Image Reconstruction Toshikazu Samura, Naohiro Hata, Katsumi Tadamura (Yamaguchi Univ.) NLP2024-54 |
Vision Transformer (ViT) requires a lot of labelled data for its pre-training. The requirements may limit the scope of V... [more] | NLP2024-54 pp.66-70 |
| SAT, RCS (Joint) |
2024-08-30 13:00 |
Kochi | CUL-PORT(Kochi City) (Temporary) (Primary: On-site, Secondary: Online) |
A Study on Autoencoder-Aided Data-Driven Tuning for Differential Linear Dispersion Code Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2024-130 |
In this paper, we propose the application of a wireless autoencoder (WAE) to a model of code generation rules of a diffe... [more] | RCS2024-130 pp.78-83 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2024-07-22 17:05 |
Hokkaido | Sapporo Convention Center | Power-analysis side channel attack with auto encoder Haruto Ishii, Takuya Kojima, Hideki Takase, Hiroshi Nakamura (UTokyo) ISEC2024-39 SITE2024-36 BioX2024-49 HWS2024-39 ICSS2024-43 EMM2024-45 |
Side-channel attacks utilize side-channel information such as power consumption in addition to plaintext and ciphertext ... [more] | ISEC2024-39 SITE2024-36 BioX2024-49 HWS2024-39 ICSS2024-43 EMM2024-45 pp.200-205 |
| RCS | 2024-06-21 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Wireless AutoEncoder for Coded MIMO Systems Yuto Imahori, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2024-73 |
This study proposes the application of wireless autoencoder (WAE) to coded multiple-input multiple-output (MIMO) communi... [more] | RCS2024-73 pp.266-270 |
| NC, MBE (Joint) |
2024-03-11 16:50 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
A Method of Timbre Synthesis Reflecting Impression Using Conditional-VAE
-- Applying the Temporal Information -- Miyu Yoshikawa, Susumu Kuroyanagi (NIT) NC2023-49 |
It is difficult to systematically explain the relationship between tones and the impressions people have of them. In th... [more] | NC2023-49 pp.37-42 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 15:00 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
The Generalized Denoising Autoencoder with Tweedie's Formula Yuta Aishima (NAIST), Sho Sonoda (RIKEN), Noboru Isobe (Tokyo Univ.), Kazushi Ikeda (NAIST) IBISML2023-40 |
Denoising autoencoders learn the score of the data-generating distribution, i.e., $nabla log p(x)$. However, theoretical... [more] | IBISML2023-40 pp.1-5 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Acoustic morphing based on autoencoder for piano scale and reverberation Yuma Hakoda, Takao Tsuchiya (Doshisha Univ.) EA2023-121 SIP2023-168 SP2023-103 |
In game audio, it is common for sound designers to manually express game sounds that change dynamic in game scenes. They... [more] | EA2023-121 SIP2023-168 SP2023-103 pp.346-351 |
| NS, NWS (Joint) |
2024-01-25 13:00 |
Hiroshima | Higashisenda Campus, HiroshimaUniversity + Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Performance evaluation of network anomaly detection and failure scale estimation method. Naoya Ogawa, Ryoichi Kawahara (Toyo Univ.) NS2023-159 |
In this paper, we evaluate the performance of the method proposed in "Network anomaly detection and failure scale estima... [more] | NS2023-159 pp.1-6 |
| 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 |
| SIP, IT, RCS | 2024-01-18 16:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for Iterative Signal Detection in MIMO Channels Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-52 SIP2023-85 RCS2023-227 |
In this paper, we apply deep unfolding to uplink signal detection via probabilistic data association (PDA) and configure... [more] | IT2023-52 SIP2023-85 RCS2023-227 pp.115-120 |
| 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 |
| NS, RCS (Joint) |
2023-12-14 16:00 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Evaluation of HttpRequest anomaly detection model using fastText and convolutional autoencoder Haruta Yamada, Ryoichi Kawahara (Toyo Univ.) NS2023-133 |
With the advent of the Internet and its close connection to people's lives, web applications are becoming increasingly i... [more] | NS2023-133 pp.42-47 |
| 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 |
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