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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
|
| AI | 2019-11-28 16:30 |
Fukuoka | Prediction of Gene Mutation Position by Machine Learning and Feature Selection Sachio Hirokawa (Kyushu Univ.), Tetsuji Kuboyama (Gakushin Univ.), Koichi Hirata (Kyutech) AI2019-37 |
[more] | AI2019-37 pp.43-45 |
|
| TL | 2019-09-29 14:05 |
Hokkaido | National Institute of Technology, Hakodate College | Investigation of Positional Relations on Distributed Representation of Words Contributing to Contrast Word Identification Yuki Okumura (OECU), Sachio Hirokawa (Kyushu Univ), Kazuhiro Takeuchi (OECU) TL2019-38 |
n recent years, distributed representations that represent words in a multidimensional real vector space have been widel... [more] | TL2019-38 pp.5-9 |
| NLC, IPSJ-IFAT | 2019-02-08 10:45 |
Kyoto | Ryukoku University Omiya Campus | Development of Phenotyping algorithm from Medical Text-based Data using Machine Learning Methods Takanori Yamashita, Rieko Izukura, Sachio Hirokawa, Naoki Nakashima (Kyushu Univ.) NLC2018-45 |
Electronic medical records (EMRs) accumulated in the Hospital Information System (HIS) are called Real World Data (RWD).... [more] | NLC2018-45 pp.53-57 |
| AI | 2018-12-07 13:00 |
Fukuoka | Feature Selection for Document Classification focused on Support Vector Kota Sakasegawa, Sachio Hirokawa (Kyushu Univ.) AI2018-25 |
Feature selection is a well-known approach for improving the prediction performance of document classifcation, where cru... [more] | AI2018-25 pp.1-4 |
|
| AI | 2018-12-07 13:50 |
Fukuoka | Interview Mining of Librarian, Archivist and Curator Zou Yuehan, Kanakawa Kumiko, Tosaki Yusuke, Nakato Tetsuya, Sachio Hirokawa (Kyushu Univ.) AI2018-27 |
[more] | AI2018-27 pp.11-14 |
|
| TL | 2018-10-28 13:00 |
Hokkaido | National Institute of Technology, Hakodate College | An investigation of identifier naming strongly linked to specific pattern of program structure Yoshiki Mashima (O.E.C.U.), Sachio Hirokawa (Kyushu Univ.), Kazuhiro Takeuchi (O.E.C.U.) TL2018-40 |
Identifiers in programming language such as variable names, class names, and method names are generally given in natural... [more] | TL2018-40 pp.7-12 |
| AI | 2018-07-02 10:50 |
Hokkaido | Effect of Flactuation of Training Data on Prediction Performance Sachio Hirokawa, Koji Okamura (Kyushu Univ.) AI2018-3 |
By applying machine learning to the case of spam, a spam identification model can be created. On the other hand, the att... [more] | AI2018-3 pp.11-14 |
|
| AI | 2018-07-02 14:15 |
Hokkaido | Evaluation of reviewers on mail order sites using statistical properties Tetsuya Nakatoh, Yuko Kusakari, Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.) AI2018-8 |
[more] | AI2018-8 pp.41-43 |
|
| TL | 2018-06-17 18:00 |
Hyogo | Kobe Gakuin University （Port Island Campus） | Effect of specifying the number of word occurrence in identification of specific text description Yuki Okumura, Atsushi Moriyasu (OECU), Sachio Hirokawa (Kyusyu Univ.), Kazuhiro Takeuchi (OECU) TL2018-10 |
Occurrence information of specific words is known as useful features for text classification. In this paper, we conside... [more] |
TL2018-10 pp.53-56 |
| NLC | 2017-09-07 11:00 |
Tokyo | Seikei University | Naoya Onimura (Kyushu Univ.), Takanori Yamashita, Naoki Nakashima (Kyushu Univ. HP), Hidehisa Soejima (Saiseikai Kumamoto Hospital), Sachio Hirokawa (Kyushu Univ.) NLC2017-15 |
(Advance abstract in Japanese is available) [more] | NLC2017-15 pp.13-18 |
| AI | 2016-12-09 10:30 |
Oita | Prediction of Business Results from Sales Reports Focused on the Usage of Synonyms Nao Wariishi, Kazuhisa Noguchi, Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.) AI2016-13 |
[more] | AI2016-13 pp.7-11 |
|
| AI | 2016-12-09 14:40 |
Oita | Interactive Visualization System of Contexts Nao Wariishi, Kazuhisa Noguchi (Kyushu Univ.), Akira Aiba (Shibaura Inst. Tech.), Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.) AI2016-17 |
Manyo-shu is the oldest Japanese waka poetry collection. Manyo-shu contains about 4,500 waka poetry which were written b... [more] | AI2016-17 pp.27-32 |
|
| NLC | 2016-09-08 10:10 |
Tokyo | Convention Room AP Shibuya-Dogenzaka (Tokyo) | Standard Measure & SVM measure for Feature Selection and Their Performance Effect for Text Classification Yusuke Adachi, Naoya Onimura, Takanori Yamashita, Sachio Hirokawa (Kyushu Univ.) NLC2016-13 |
(Advance abstract in Japanese is available) [more] | NLC2016-13 pp.1-6 |
| NLC | 2016-09-08 10:35 |
Tokyo | Convention Room AP Shibuya-Dogenzaka (Tokyo) | Discrimination of Manyo-shu and Kokin-Waka-shu and Dating of Poets using Machine Learning Kazuhisa Noguchi (Kyushu Univ.), Akira Aiba (Shibaura Inst. of Tech.), Sachio Hirokawa (Kyushu Univ.) NLC2016-14 |
Manyo-Shu and Kokinwaka-Shu are famous anthologies of Japanese poetry (Waka-Shu). They have different background and dif... [more] | NLC2016-14 pp.7-11 |
| AI | 2015-12-18 09:40 |
Okinawa | Survey on Reference Services of Japanese Academic Libraries Sachiko Nakajima (Baika Univ., Kyushu Univ.), Yukiko Watanabe, Sachio Hirokawa (Kyushu Univ.) AI2015-28 |
[more] | AI2015-28 pp.13-18 |
|
| AI | 2015-12-18 11:20 |
Okinawa | Text Mining of Daily Sales Reports Nao Wariishi (Kyushu Univ.), Shuichi Mitarai (Lafla Inc.), Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.) AI2015-32 |
It is one of the most important issues for companies in any industries to improve the salespeople's business activities... [more] |
AI2015-32 pp.37-42 |
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| AI | 2015-12-18 11:40 |
Okinawa | Case Analysis for Steep Increase of Citation Hayato Nakanishi, Tetsuya Nakatoh, Sachio Hirokawa (Kyushu Univ.) AI2015-33 |
In scientific research, the literature search is essential activity. For this purpose, it is important for us to choose ... [more] | AI2015-33 pp.43-48 |
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| AI | 2015-12-18 12:20 |
Okinawa | Correspondence of Clustering of Questions and Clustering of Answers Yuusuke Yoshida, Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.) AI2015-35 |
[more] | AI2015-35 pp.55-58 |
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