Rchr
J-GLOBAL ID:200901060854346955   Update date: Mar. 26, 2019

MASADA Tomonari

マサダ トモナリ | MASADA Tomonari
Affiliation and department:
Job title: Associate Professor
Homepage URL  (2): http://diversity-mining.jphttp://www.cis.nagasaki-u.ac.jp/~masada/
Research field  (3): Media informatics/Database ,  Intelligent informatics ,  Fundamental theory of informatics
Research keywords  (2): machine learning ,  data mining
Research theme for competitive and other funds  (3):
  • 2004 - Probabilistic Modeling for Data Mainig
  • 2001 - 2005 Improving Web search by using hyperlink information
  • 1993 - 1995 Enumeration of Regular Triangulations
Papers (46):
  • Tomonari Masada. Document Modeling with Implicit Approximate Posterior Distributions. Proceedings of the International Conference on Data Processing and Applications, ICDPA 2018, Guangdong, China, May 12-14, 2018. 2018. 45-48
  • Tomonari Masada,Atsuhiro Takasu. Adversarial Learning for Topic Models. Advanced Data Mining and Applications - 14th International Conference, ADMA 2018, Nanjing, China, November 16-18, 2018, Proceedings. 2018. 292-302
  • Array,Atsuhiro Takasu. Mini-Batch Variational Inference for Time-Aware Topic Modeling. PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, August 28-31, 2018, Proceedings, Part II. 2018. 156-164
  • Array,Atsuhiro Takasu. LDA-Based Scoring of Sequences Generated by RNN for Automatic Tanka Composition. Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018 Proceedings, Part III. 2018. 395-402
  • Tomonari Masada. Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation. Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Jeju, South Korea, May 23, 2017, Revised Selected Papers. 2017. 129-137
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MISC (7):
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Lectures and oral presentations  (23):
  • Enumeration of Regular Triangulations
    (12th annual ACM Symposium on Computational Geometry 1996)
  • パラメータ化された連結成分分解によるWebページのグループ化
    (夏のデータベースワークショップ DBWS2002 2002)
  • パラメータ化された連結性に基づくWebページのグループ化
    (第1回 情報科学技術フォーラム 2002)
  • パラメータ化された連結成分分解を用いたWeb情報の有効利用
    (夏のデータベース・ワークショップ DBWS2003 2003)
  • パラメータ化された連結性に基づくWebページのグループ化
    (第14回データ工学ワークショップ 2003)
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Education (4):
  • - 1993 The University of Tokyo Faculty of Science Department of Information Science
  • - 1995 The University of Tokyo Graduate School, Division of Science Department of Information Science
  • - 1999 The University of Tokyo Graduate School, Division of General Culture Department of Basic Science
  • - 2004 The University of Tokyo Graduate School of Information Science and Technology Department of Information and Communication Engineering
Work history (3):
  • 1999 - 2001 Engineering Staff
  • 2007 - 2008 Assistant Professor,Computer and Information Sciences,Faculty of Engineering,Nagasaki University
  • 2008 - 2012 Assistant Professor,Electrical and Electronic ,Faculty of Engineering,Nagasaki University
Awards (2):
  • 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
Association Membership(s) (2):
INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
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