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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2023-12-20 14:55 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Anomaly Detection by One-class Convolution Extreme Learning Machine Using Multiple Kernel Yuta Okami, Takuya Kitamura (NIT, Toyama College)  IBISML2023-31 |
In this paper, we propose a one-class convolutional extreme learning machine using multiple kernel. In this method, for ... [more] | IBISML2023-31 pp.7-12 |
| SANE | 2021-11-12 14:50 |
Online | Online | GPR data processing methods based on extrem gradient boosting algorithm to detect the backfill grouting of shield tunnel Xiongyao Xie, Li Zeng, Biao Zhou (Tongji Univ.) SANE2021-59 |
Shield tunnel method is currently the most important method for tunnel excavation in soft soil areas. With the construct... [more] | SANE2021-59 pp.144-148 |
| NC, MBE | 2019-12-06 17:20 |
Aichi | Toyohashi Tech | Regularization Term of WRH Type Used with Moore-Penrose Inverse for Optimizing Neural Networks Yoshifusa Ito (FHU), Hiroyuki Izumi (AGU), Cidambi Srinivasan (UK) MBE2019-60 NC2019-51 |
Weigend et al. proposed an algorithm for optimizing neural networks, which suppressed the notorious over- tting. They at... [more] | MBE2019-60 NC2019-51 pp.89-94 |
| WIT, SP | 2019-10-27 09:40 |
Kagoshima | Daiichi Institute of Technology | Real-Time Silent Speech BCI with Japanese Hiragana Sylvain Gaborit, Toshimasa Yamazaki (KIT) SP2019-30 WIT2019-29 |
Brain-Computer interfaces (BCIs) are often seen as a way to bypass limbs and might be used by people physically unable t... [more] | SP2019-30 WIT2019-29 pp.75-80 |
| NLP, CAS | 2019-10-22 15:30 |
Gifu | Gifu Univ. | Consideration of input data in person recognition by gait using Extreme Learning Machine Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2019-34 NLP2019-74 |
In this research, we consider a method of person recognition using an Extreme Learning Machine (ELM) whose inputs are Ga... [more] | CAS2019-34 NLP2019-74 pp.55-60 |
| CAS, NLP | 2018-10-19 09:30 |
Miyagi | Tohoku Univ. | Person recognition by gait using an Extreme Learning Machine Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2018-49 NLP2018-84 |
In this research, we propose a method of person recognition using an Extreme Learning Machine (ELM). We proposed an ELM ... [more] | CAS2018-49 NLP2018-84 pp.63-68 |
| IA | 2017-11-15 13:50 |
Overseas | KMITL, Bangkok, Thailand | Machine Learning Approach for Phishing Detection in SDN Networking Yu-Hung Chen, Jiun-Yu Yang, Po-Chun Hou, Jiann-Liang Chen (National Taiwan University of Science & Technology) IA2017-30 |
People have become increasingly dependent on information technology since the emergence of the Internet. Therefore, many... [more] | IA2017-30 pp.1-6 |
| NLP | 2017-11-05 17:25 |
Miyagi | Research Institute of Electrical Communication Tohoku University | Reconstructing Bifurcation Diagrams of Chaotic neuron Using Extreme Learning Machine Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-74 |
In recent year, an extreme learning machine which is simple structure have been applied to various problems. As one of t... [more] | NLP2017-74 pp.53-58 |
| NLP | 2017-07-14 14:25 |
Okinawa | Miyako Island Marine Terminal | Estimating Lyapunov Exponents for Reconstructed Two-dimensional Bifurcation Diagrams Yoshitaka Itoh, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-46 |
We describe a method for reconstruction of two-dimensional bifurcation diagrams with Lyapunov exponents from only severa... [more] | NLP2017-46 pp.99-102 |
| NLP | 2017-05-12 11:00 |
Okayama | Okayama University of Science | Investigation of Fast Construction for Intrusion Detection System using Multi-Layer Extreme Learning Machine. Daichi Noguchi, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-18 |
Recently, there are incremental threats of cyber security for holding the Olympic Games in Tokyo in 2020. The fast const... [more] | NLP2017-18 pp.87-92 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-20 13:30 |
Hokkaido | Hokkaido Univ. | A Note on Accurate Distress Classification for Maintenance Inspection of Road Structures via Deep Learning Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Automatic distress classification of distresses occurring in road structures is necessary in order to support inspectors... [more] | |
| PRMU, MI, IE, SIP | 2015-05-15 10:30 |
Mie | Solving inverse problem by learning high-dimensional nonlinear mapping Daisuke Miyata, Tomoya Sakai (Nagasaki Univ.) SIP2015-20 IE2015-20 PRMU2015-20 MI2015-20 |
(To be available after the conference date) [more] | SIP2015-20 IE2015-20 PRMU2015-20 MI2015-20 pp.105-109 |
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