Masada Tomonari

マサダトモナリ | Masada Tomonari

Affiliation and department：
Job title：教授
Homepage URL (1)： https://tomonari-masada.github.io/

Research field (3)： Information theory , Intelligent informatics , Database science

Research keywords (4)： probabilistic models , text mining , machine learning , data mining

Research theme for competitive and other funds (8)：

2021 - 2024 Topic models bridging between documents as members composing a corpus and documents as sequences composed by words
2018 - 2021 Research on the effectiveness of using RNN in topic models
2019 - 2020 Exploring Data Processing and Analysis Methods for Predicting Defect Occurrences in Semiconductor Production Lines
2015 - 2018 A Study on Digital Library System for Experimental Information Extraction, Visualization and Recommendation
2014 - 2017 Tiny data mining: reconstruction of large scale data with probability distributions as bases

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Papers (66)：

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MISC (26)：

Text Mining for "Zenkyoto Generation". 2020. 2020. 297-302
NIWA Kazuhisa, MASADA Tomonari, FUKUZAWA Katsuhiko, MINE Mariko, YAMAJI Hiroki. Learning Tasks That Enhance Student Participation in Lecture Class. Journal of the Center for Educational Innovation Nagasaki University. 2014. 5. 5. 19-24
Tomonari Masada. Unsupervised Segmentation of Bibliographic Elements with Latent Permutations. International Journal of Organizational and Collective Intelligence. 2011. 2. 2. 49-62
SHIDA Sayaka, DOHI Keisuke, SHIBATA Yuichiro, HAMADA Tsuyoshi, MASADA Tomonari, OGURI Kiyoshi. An Automatic Optimization Technique of DMA Transfer and Data Allocation for Reconfigurable Machines. The IEICE transactions on information and systems. 2009. 92. 12. 2127-2136
ARAKI Yuta, SHIBATA Yuichiro, HAMADA Tsuyoshi, MASADA Tomonari, OGURI Kiyoshi. Evaluation of circuit proliferation method that uses concept of pressure in PCA. IEICE technical report. 2009. 109. 320. 19-24

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Lectures and oral presentations (35)：

Documents as a Bag of Maximal Substrings: An Unsupervised Feature Extraction for Document Clustering
(13th International Conference on Enterprise Information Systems (ICEIS 2011) 2011)
Semi-supervised Bibliographic Element Segmentation with Latent Permutations
(International Conference on Asia-Pacific Digital Libraries (ICADL 2011) 2011)
Infinite Latent Process Decomposition
(IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2010) 2010)
Unsupervised Segmentation of Bibliographic Elements with Latent Permutations
(The 1st International Workshop on Web Intelligent Systems and Services (WISS 2010) 2010)
시간에 따른 의미 변화 인지를 위한 가중치 구조의 적용
(2010 IEEK Summer Conference 2010)

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Works (6)：

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Education (4)：

- 2004 The University of Tokyo
- 1999 The University of Tokyo
- 1995 The University of Tokyo
- 1993 The University of Tokyo Faculty of Science Department of Information Science

Professional career (4)：

Work history (8)：

2020/04 - 現在立教大学大学院人工知能科学研究科教授
2012/04 - 2020/03 Nagasaki University Graduate school of Engineering Associate Professor
2008 - 2012 Nagasaki University Faculty of Engineering
2008 - 2012 Assistant Professor,Electrical and Electronic ,Faculty of Engineering,Nagasaki University
2007 - 2008 Nagasaki University Faculty of Engineering, Department of Computer and Information Sciences

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Awards (5)：

2020/02 - 九州半導体・エレクトロニクスイノベーション協議会令和元年度第二回「SIIQ技術大賞」金賞
2018/05 - Science and Engineering Institute Best Oral Presentation Document Modeling with Implicit Approximate Posterior Distributions
2011/06 - INSTICC Best Paper Award DOCUMENTS AS A BAG OF MAXIMAL SUBSTRINGS - An Unsupervised Feature Extraction for Document Clustering
2006 - 情報処理学会論文賞
2003 - DEWS優秀プレゼンテーション賞

Association Membership(s) (2)：

THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS , INFORMATION PROCESSING SOCIETY OF JAPAN

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