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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2024-03-02 14:00 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Poster Presentation]
Improved Ultimate Link without markers for projective transformation Keiji Yamadera, Michiharu Niimi (KIT)  EMM2023-90 |
We propose a method that links character string having a certain semantic meaning on papers in real world to the digital... [more] | EMM2023-90 pp.7-12 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2023-09-22 13:25 |
Fukuoka | Kitakyushu International Conference Center | A Method of Generating Images to Represent Impressions of a Piece of Music Using the Text2Image Model Shoichi Sasaki, Taketoshi Ushiama (Kyushu Univ.) DE2023-26 |
In this study, we propose a method for automatically generating images that represent impressions of songs using informa... [more] | DE2023-26 pp.89-94 |
| NLC | 2023-09-07 15:30 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Bootstrapped Assignment of Polarity to Business Performance Forecast Sentences in Quarterly/Annual Reports Yuta Hiramatsu (Nagoya Univ.), Yasuhiro Ogawa (Nagoya City Univ.), Katsuhiko Toyama (Nagoya Univ.) NLC2023-11 |
Quarterly/Annual Report published by companies contains important information for investors, such as business performanc... [more] | NLC2023-11 pp.57-62 |
| 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 |
| SS | 2023-03-14 16:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Automatic Dataset Collection and Formatting Techniques for Machine Learning Systems Takako Kawaguchi, Toshiyuki Kurabayashi, Haruto Tanno (former NTT) SS2022-57 |
In recent years, as machine learning models have become larger and larger, the scale of data required for training has a... [more] | SS2022-57 pp.61-66 |
| NLC | 2022-09-13 15:30 |
Kanagawa | Keio Univ. Yagami Campus. (Primary: On-site, Secondary: Online) |
Extraction of sentences representing company-specific competitive advantages from integrated reports Yuta Sugawara, Hiroyuki Sakai, Kengo Enami (Seikei), Kaito Takano, Kei Nakagawa (Nomura Asset Management) NLC2022-7 |
In this research, we propose a method for extracting sentences representing company-specific competitive advantages from... [more] | NLC2022-7 pp.13-18 |
| SIP | 2022-08-25 13:21 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Style Feature Extraction by Contrastive Learning and Mutual Information Constraints Suguru Yasutomi, Toshihisa Tanaka (TUAT) SIP2022-52 |
Extracting style features is crucial for analyzing data. This paper proposes a style feature extraction using variationa... [more] | SIP2022-52 pp.13-18 |
| MSS, NLP | 2022-03-28 13:50 |
Online | Online | Knowledge Extraction from Physical and Human Sensors in Smart Agriculture
-- Preliminary experiments with planter cultivation data -- Kenta Toya, Moritaro Inoue, Naoshi Uchihira (JAIST) MSS2021-63 NLP2021-134 |
One of the most promising approaches to increasing agricultural efficiency is the use of the agricultural Internet of Th... [more] | MSS2021-63 NLP2021-134 pp.43-44 |
| SR | 2022-01-25 15:45 |
Online | Online | Machine Learning-Based Adaptive Modulation and Coding with Generalized Mutual Information for Coded MIMO-OFDM Systems Haruhiko Hasegawa, Yuto Hama, Hideki Ochiai (Yokohama Natl Univ) SR2021-83 |
Adaptive modulation and coding (AMC) is a promising approach for enhancing the spectral efficiency and reliability by se... [more] | SR2021-83 pp.118-124 |
| QIT (2nd) |
2021-11-30 13:30 |
Online | Online | [Poster Presentation]
Machine Learning techniques for unitary design classification:A comparative study Yaswitha Gujju, Bo Yang, Dr. Yuko Kuroki, Dr. Hiroshi Imai (UTokyo) |
The recent use of correlator functions to identify the degree of pseudorandomness in a qubit system opens up immense pos... [more] | |
| LOIS | 2021-03-04 16:15 |
Online | Online | On Extraction of Preference Information and Perceptual Assistance in Apparel Industry Kan Takeda, Takaaki Hasegawa (Saitama Univ.) LOIS2020-54 |
In this paper, we describe the possibility of perceptual assistance by extracting consumer’s preference information and ... [more] | LOIS2020-54 pp.41-46 |
| NC, MBE (Joint) |
2021-03-03 15:35 |
Online | Online | A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model Kaya Teramoto, Susumu Kuroyanagi (NIT) NC2020-51 |
For time series information processing using pulsed neuron models, a supervised learning rule is proposed that enables c... [more] | NC2020-51 pp.47-52 |
| NLC | 2021-02-18 10:30 |
Online | Online | Classification of disaster tweets for damage assessment, and improvement by feature analysis Yuto Oikawa, Ptaszynski Michal, Fumito Masui (KIT) NLC2020-22 |
In extracting tweets useful in rescue missions during disasters, previous research have focused on extracting tweets con... [more] | NLC2020-22 pp.7-12 |
| NLC | 2020-09-10 09:40 |
Online | Online | Related Article Extraction Using Learning to Rank Tsukasa Shiota, Kazutaka Shimada (Kyutech), Shinji Nogami, Shuhei Fukuyama (NNP) NLC2020-1 |
Related articles of a news article help readers to access other beneficial information efficiently, so it is an importan... [more] | NLC2020-1 pp.1-6 |
| MVE | 2020-09-09 12:00 |
Online | Online | [Short Paper]
Semantic structurization of geotagged tweets for real-world information retrieval Jeongwoo Lim, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) MVE2020-15 |
Twitter is a useful source for retrieving up-to-date information about the real-world. This paper proposes a method, for... [more] | MVE2020-15 pp.27-28 |
| NS, IN (Joint) |
2020-03-06 13:00 |
Okinawa | Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Training Data Creation Method by PMI using MAP Estimation for the Automatic Test Cases Generation Koki Sato, Yuki Matsumoto (Nihon Univ.), Takeshi Yamada, Kazuhiro Kikuma (NTT Corporation), Kiyoshi Ueda (Nihon Univ.) NS2019-237 |
NGN which have of the feature both of the internet and the PSTN is required the guarantee of the safety and the social d... [more] | NS2019-237 pp.335-339 |
| IN | 2020-01-23 14:40 |
Aichi | WINC AICHI | e-Travel: Automatical Travel Support Site Generation based on Review Analysis per Travel Style Naoki Kawamura, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-67 |
For traveling and sightseeing, many people often use travel review sites and travel information magazines. Some travel r... [more] | IN2019-67 pp.13-18 |
| CS, CQ (Joint) |
2019-04-19 14:25 |
Osaka | Osaka Univ. Library | Construction and Demonstration Experiment of Target Spot Information Extraction System based on General Object Recognition Technology Kubo Kouki, Wuyi Yue (Konan Univ.) CQ2019-6 |
In this paper, target spot information system with two functions of "extract function of surrounding spot information" u... [more] | CQ2019-6 pp.29-34 |
| AI | 2019-02-23 11:00 |
Tokyo | Mining Semantic Patterns from Dependency Trees of Japanese Sentences Ryo Suzuki, Ken Kaneiwa (The Univ. of Electro-Communications) AI2018-46 |
Users can obtain information from large-scale web texts using keyword-based web search services. Such search services fi... [more] | AI2018-46 pp.51-55 |
|
| IN | 2019-01-22 10:25 |
Aichi | WINC AICHI | Searching the Web for Trivia Inducing Users' Interests by Starting with SNS Trends Junya Matsuda, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.) IN2018-81 |
Trivia are one kind of knowledge about trashy things and trivial things etc., and almost always we do not care whether o... [more] | IN2018-81 pp.51-56 |
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