| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Fast Model Parameter Bounds for Low-Rank Training Data Modifications Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.)  PRMU2022-123 IBISML2022-130 |
Machine learning methods often require re-training the training dataset with low-rank modifications (small number of ins... [more] | PRMU2022-123 IBISML2022-130 pp.347-354 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 13:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Joint-Conditional Mutual Information Based Feature Subset Selection for Remotely Sensed Hyperspectral Image Classification U A Md Ehsan Ali, Keisuke Kameyama (Univ. Tsukuba) NC2022-16 IBISML2022-16 |
Hundreds of contiguous bands of remotely sensed hyperspectral image (HSI) capture the spectral signatures of observed ob... [more] | NC2022-16 IBISML2022-16 pp.115-122 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Feature selection in prediction model by LiNGAM Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.) NC2022-17 IBISML2022-17 |
To improve the accuracy of machine learning models, it is important to perform feature engineering based on the features... [more] | NC2022-17 IBISML2022-17 pp.123-128 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 15:20 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Person Verification Based on Finger-Writing of a Simple Symbol on a Smartphone
-- Improvement of polar transformation and effect of fusing uncorrelated features -- Isao Nakanishi, Kazuki Matsuura, Yohei Masegi, Takahiro Horiuchi (Tottori Univ.) SIP2022-26 BioX2022-26 IE2022-26 MI2022-26 |
We have studied to authenticate users based on their finger writing. Users are asked to draw or write a simple symbol ... [more] |
SIP2022-26 BioX2022-26 IE2022-26 MI2022-26 pp.132-137 |
| RCS, SR, SRW (Joint) |
2022-03-02 10:50 |
Online | Online | Pilot Pattern Design Method using Autoencoder for CDL Channels Yuta Yamada, Tomoaki Ohtsuki (Keio Univ.) RCS2021-253 |
In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation ... [more] | RCS2021-253 pp.13-18 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 16:10 |
Online | Online | More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8 |
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] | NC2021-8 IBISML2021-8 pp.55-61 |
| IA, ICSS | 2021-06-22 09:00 |
Online | Online | Feature analysis of phishing website and phishing detection based on machine learning algorithms Yi Wei, Yuji Sekiya (Todai) IA2021-9 ICSS2021-9 |
Phishing is a kind of cybercrime that uses disguised websites to trick people into providing personally sensitive inform... [more] | IA2021-9 ICSS2021-9 pp.44-49 |
| KBSE, SWIM | 2021-05-22 10:30 |
Online | Online | Feature Selection for Avoiding Overfitting of Software Defect Prediction Yuta Nagai, Ryuichi Takahashi (Ibaraki Univ.) KBSE2021-7 SWIM2021-7 |
Software defect prediction by machine learning is important for software development, and there is much research on how ... [more] | KBSE2021-7 SWIM2021-7 pp.37-43 |
| IN, NS (Joint) |
2021-03-05 11:00 |
Online | Online | A Model Selection Optimization Method for Distributed Machine Learning with Feature Model Combination Ryuichi Mochizuki, Takeshi Tsuchiya, Hiroo Hirose, Tetsuyasu Yamada (SUS) IN2020-83 |
This study clarifies the optimal feature model selection method in data analysis under the environment where the feature... [more] | IN2020-83 pp.172-177 |
| BioX, CNR | 2021-03-02 09:30 |
Online | Online | Construction and Evaluation of an Emotion Estimation Model Using EEG and Heart Rate Variability Indices Kei Suzuki, Ryota Matsubara, Midori Sugaya (Shibaura Inst. of Tech.) BioX2020-40 CNR2020-13 |
Urabe et al. have conducted research on human emotion estimation techniques. They constructed an emotion estimation mode... [more] | BioX2020-40 CNR2020-13 pp.1-6 |
| IBISML | 2021-03-02 10:50 |
Online | Online | Kernel tensor decomposition based unsupervised feature extraction
-- Applications to bioinformatics -- Y-h. Taguchi (Chuo Univ.) IBISML2020-36 |
A lot of research has been done on the so-called textit{large p small n} problem, where the number of samples is small c... [more] | IBISML2020-36 pp.16-23 |
| AP | 2020-12-17 13:50 |
Online | Online | A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98 |
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] | AP2020-98 pp.13-17 |
| IA | 2020-10-01 11:15 |
Online | Online | Malicious URLs Detection Using an Integrated AI Framework Bo-Xiang Wang, Ren-Feng Deng, Yi-Wei Ma, Jiann-Liang Chen (NTUST) IA2020-1 |
Malicious attacks on computer networks are quite common, and the internet attacks are even more widespread, such as Malv... [more] | IA2020-1 pp.1-5 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
A Robust Approach to Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2019-122 SIP2019-124 SP2019-71 |
We propose a robust approach to recovering the jointly sparse signals in the presence of outliers. The proposed approach... [more] | EA2019-122 SIP2019-124 SP2019-71 pp.123-128 |
| IBISML | 2020-01-09 16:45 |
Tokyo | ISM | Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis Y-h. Taguchi (Chuo Univ.) IBISML2019-26 |
Cannonical correlation analysis (CCA) is known to integrate two matrices, each of which have elements, $x_{ij} in mathbb... [more] | IBISML2019-26 pp.55-59 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 11:15 |
Tokyo | NHK Science & Technology Research Labs. | Shiori Koga (Kyushu Univ.), Tsunenori Mine (kyushu Univ.), Sachio Hirokawa (Kyushu Univ.) NLC2019-31 |
Among RNNs, especially LSTM is capable of long-term memory and can be expected to acquire information including better c... [more] | NLC2019-31 pp.13-18 |
| AI | 2019-11-28 15:15 |
Fukuoka | Effectiveness of feature selection as pre-processing of LSTM using W2V Shiori Koga, Tsunenori Mine, Sachio Hirokawa (Kyushu Univ.) AI2019-34 |
Among RNNs, especially LSTM is capable of long-term memory, and can be expected to acquire information including better ... [more] | AI2019-34 pp.25-30 |
|
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Prioritized Transmission of Mobile IoT Data Using Machine Learning Models Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.) |
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more] | |
| RISING (2nd) |
2019-11-27 13:55 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) |
Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more] | |
| IA | 2019-11-15 13:15 |
Tokyo | Kwansei Gakuin University, Tokyo Marunouchi Campus (Sapia Tower) | Malicious URL Classification using Machine Learning Techniques Yu-Chen Chen, Li-Dong Chen, Yan-Ju Chen, Jiann-Liang Chen (NTUST) IA2019-41 |
The Website security is an important research topic that must be pursued to protect internet users. Traditionally, black... [more] | IA2019-41 pp.79-83 |
[Return to Top Page]