Coloured Rippling: An Extension of a Theorem Proving Heuristic. - Tetsuya Yoshida; Alan Bundy; Ian Green; Toby Walsh; David A. Basin (ECAI, 1994)

A Dynamic Linkage Method for Hypermedia and Its Design Support Tool. - Yoshinori Hijikata; Naoki Saiwaki; Tetsuya Yoshida; Shogo Nishida (HCI (2), 1997)

Communication Model in Emergency Which Considers Competence, Duty and Responsibility. - Takashi Koiso; Naoki Saiwaki; Tetsuya Yoshida; Shogo Nishida (HCI (1), 1997)

Interactive Interfaces to Detect Conceptual Difference for Knowledge Acquisition. - Teruyuki Kondo; Naoki Saiwaki; Tetsuya Yoshida; Shogo Nishida (HCI (2), 1997)

Supporting Mutual Understanding in Collaborative Design Project. - Takayuki Yamaoka; Katsuhiko Tsujino; Tetsuya Yoshida; Shogo Nishida (APCHI, 1998)

Discovering Conceptual Differences among People from Cases. - Tetsuya Yoshida; Teruyuki Kondo (Discovery Science, 1998)

A Reinforcement Learning Approach to Cooperative Problem Solving. - Tetsuya Yoshida; Koichi Hori; Shinichi Nakasuka (ICMAS, 1998)

A dynamic linkage method for hypermedia and its design support tool. - Yoshinori Hijikata; Tetsuya Yoshida; Shogo Nishida (SMC, 1998)

Discovering Conceptual Differences among Different People via Diverse Structures. - Tetsuya Yoshida; Teruyuki Kondo; Shogo Nishida (PAKDD, 1999)

Adaptive Hypermedia System for Supporting Information Providers in Directing Users through Hyperspace. - Yoshinori Hijikata; Tetsuya Yoshida; Shogo Nishida (OHS-7/SC-3/AH-3, 2001)

Utilizing the Correlation between Query Keywords for Information Retrieval. - Tetsuya Yoshida; Daiki Shinkai; Shogo Nishida (WAIM, 2001)

Evolving Granules for Classification for Discovering Difference in the Usage of Words. - Tetsuya Yoshida; Teruyuki Kondo; Shogo Nishida (Comput. Intell., 2001)

Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. - Takashi Matsuda; Hiroshi Motoda; Tetsuya Yoshida; Takashi Washio (Discovery Science, 2002)

Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. - Tetsuya Yoshida; Hiroshi Motoda; Takashi Washio (ICDM, 2002)

Case Generation Method for Constructing an RDR Knowledge Base. - Keisei Fujiwara; Tetsuya Yoshida; Hiroshi Motoda; Takashi Washio (PRICAI, 2002)

Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction. - Takashi Matsuda; Hiroshi Motoda; Tetsuya Yoshida; Takashi Washio (PRICAI, 2002)

Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data. - Takuya Wada; Tetsuya Yoshida; Hiroshi Motoda; Takashi Washio (PRICAI, 2002)

Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction. - Warodom Geamsakul; Tetsuya Yoshida; Kouzou Ohara; Hiroshi Motoda; Takashi Washio; Hideto Yokoi; Katsuhiko Takabayashi (Active Mining, 2003)

Performance Evaluation of Decision Tree Graph-Based Induction. - Warodom Geamsakul; Takashi Matsuda; Tetsuya Yoshida; Hiroshi Motoda; Takashi Washio (Discovery Science, 2003)

Classifier Construction by Graph-Based Induction for Graph-Structured Data. - Warodom Geamsakul; Takashi Matsuda; Tetsuya Yoshida; Hiroshi Motoda; Takashi Washio (PAKDD, 2003)

Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction. - Warodom Geamsakul; Takashi Matsuda; Tetsuya Yoshida; Kouzou Ohara; Hiroshi Motoda; Takashi Washio; Hideto Yokoi; Katsuhiko Takabayashi (JSAI Workshops, 2004)

Detecting difference of usage of terms as difference of structure. - Tetsuya Yoshida; Teruyuki Kondo; Shogo Nishida (Cogn. Syst. Res., 2004)

Adaptive Ripple Down Rules method based on minimum description length principle. - Tetsuya Yoshida; Takuya Wada; Hiroshi Motoda; Takashi Washio (Intell. Data Anal., 2004)

A method for detecting conceptual differences based on correlation between decision trees. - Kensuke Ohnishi; Tetsuya Yoshida; Shogo Nishida (Syst. Comput. Jpn., 2004)

Performance evaluation of fusing two different knowledge sources in Ripple Down Rules method. - Tetsuya Yoshida; Hiroshi Motoda (AMT, 2005)

Refining diagnostic knowledge extracted from interferon therapy by graph-based induction. - Tetsuya Yoshida; Akira Mogi; Kouzou Ohara; Hiroshi Motoda; Takashi Washio (AMT, 2005)

Graph Clustering Based on Structural Similarity of Fragments. - Tetsuya Yoshida; Ryosuke Shoda; Hiroshi Motoda (Federation over the Web, 2005)

Constructing a Decision Tree for Graph-Structured Data and its Applications. - Warodom Geamsakul; Tetsuya Yoshida; Kouzou Ohara; Hiroshi Motoda; Hideto Yokoi; Katsuhiko Takabayashi (Fundam. Informaticae, 2005)

A document retrieval support system with term relationship. - Tetsuya Yoshida; Daiki Shinkai; Shogo Nishida (Web Intell. Agent Syst., 2005)

An image based design support system for web page design. - Tetsuya Yoshida; Masato Watanabe; Shogo Nishida (Int. J. Knowl. Based Intell. Eng. Syst., 2006)

Incremental Neighborhood Graphs Construction for Multidimensional Databases Indexing. - Hakim Hacid; Tetsuya Yoshida (Canadian AI, 2007)

Neighborhood Graph Construction with Reduced Data Access for Large Scale Database Indexing. - Tetsuya Yoshida; Hakim Hacid (Artificial Intelligence and Pattern Recognition, 2007)

A New Greedy Algorithm for Improving b-Coloring Clustering. - Haytham Elghazel; Tetsuya Yoshida; Véronique Deslandres; Mohand-Said Hacid; Alain Dussauchoy (GbRPR, 2007)

Cooperation learning in Multi-Agent Systems with annotation and reward. - Tetsuya Yoshida (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

An Integrated Graph and Probability Based Clustering Framework for Sequential Data. - Haytham Elghazel; Tetsuya Yoshida; Mohand-Said Hacid (Discovery Science, 2008)

Using a Virtual Machine Monitor to Slow Down CPU Speed for Embedded Time-Sensitive Software Testing. - Tetsuya Yoshida; Hiroshi Yamada; Kenji Kono (Inf. Media Technol., 2009)

Construction Incrémentale de Graphes de Voisinage avec Accès Réduit aux Disques. - Hakim Hacid; Tetsuya Yoshida (AAFD, 2010)

Performance Evaluation of Constraints in Graph-Based Semi-supervised Clustering. - Tetsuya Yoshida (AMT, 2010)

Message Correlation and Web Service Protocol Mining from Inaccurate Logs. - Kreshnik Musaraj; Tetsuya Yoshida; Florian Daniel; Mohand-Said Hacid; Fabio Casati; Boualem Benatallah (ICWS, 2010)

A Graph-Based Projection Approach for Semi-supervised Clustering. - Tetsuya Yoshida; Kazuhiro Okatani (PKAW, 2010)

Toward Improving Re-coloring Based Clustering with Graph b-Coloring. - Hiroki Ogino; Tetsuya Yoshida (PRICAI, 2010)

A Graph Model for Clustering Based on Mutual Information. - Tetsuya Yoshida (PRICAI, 2010)

Neighborhood graphs for indexing and retrieving multi-dimensional data. - Hakim Hacid; Tetsuya Yoshida (J. Intell. Inf. Syst., 2010)

Non-negative Matrix Factorization with sparse features. - Keigo Kimura; Tetsuya Yoshida (GrC, 2011)

Topic graph based transfer learning via generalized KL divergence based NMF. - Keigo Kimura; Tetsuya Yoshida (GrC, 2011)

Regularized modularity eigenmap for community discovery with side information. - Tetsuya Yoshida (GrC, 2011)

Topic Graph Based Non-negative Matrix Factorization for Transfer Learning. - Hiroki Ogino; Tetsuya Yoshida (ISMIS, 2011)

Cholesky Decomposition Rectification for Non-negative Matrix Factorization. - Tetsuya Yoshida (ISMIS, 2011)

Pairwise Constraint Propagation for Graph-Based Semi-supervised Clustering. - Tetsuya Yoshida (ISMIS, 2011)

A graph model for mutual information based clustering. - Tetsuya Yoshida (J. Intell. Inf. Syst., 2011)

A Comparative Study of Community Structure Based Node Scores for Network Immunization. - Yuu Yamada; Tetsuya Yoshida (AMT, 2012)

Influence of Erroneous Pairwise Constraints in Semi-supervised Clustering. - Tetsuya Yoshida (AMT, 2012)

Weighted Line Graphs for Overlapping Community Discovery and their Evaluation. - Tetsuya Yoshida (ISIP, 2012)

Overlapping Community Discovery via Weighted Line Graphs of Networks. - Tetsuya Yoshida (PRICAI, 2012)

Community Structure Based Node Scores for Network Immunization. - Tetsuya Yoshida; Yuu Yamada (PRICAI, 2012)

A re-coloring approach for graph b-coloring based clustering. - Tetsuya Yoshida; Hiroki Ogino (Int. J. Knowl. Based Intell. Eng. Syst., 2012)

Learning and Utilizing a Pool of Features in Non-negative Matrix Factorization. - Tetsuya Yoshida (AMT, 2013)

Theoretical Analysis and Evaluation of Topic Graph Based Transfer Learning. - Tetsuya Yoshida; Hiroki Ogino (AMT, 2013)

Toward Robust and Fast Two-Dimensional Linear Discriminant Analysis. - Tetsuya Yoshida; Yuu Yamada (AMT, 2013)

Special issue on SIASP at ICDM 2010. - Hakim Hacid; Tetsuya Yoshida; Cécile Favre (J. Intell. Inf. Syst., 2013)

Toward finding hidden communities based on user profile. - Tetsuya Yoshida (J. Intell. Inf. Syst., 2013)

Rectifying the representation learned by Non-negative Matrix Factorization. - Tetsuya Yoshida (Int. J. Knowl. Based Intell. Eng. Syst., 2013)

Weighted line graphs for overlapping community discovery. - Tetsuya Yoshida (Soc. Netw. Anal. Min., 2013)

Determination of the Optimum Muscle Temperature for Maintaining Work Performance with Attenuation of Heat Stress in Human. - Keiko Inoue; Tetsuya Yoshida; Masashi Kume (IIAI-AAI, 2014)

A Graph-Based Approach for Semisupervised Clustering. - Tetsuya Yoshida (Comput. Intell., 2014)

A Community Structure-Based Approach for Network Immunization. - Tetsuya Yoshida; Yuu Yamada (Comput. Intell., 2017)

Quantification and Visualization of Reliable Hemodynamics Evaluation Based on Non-Contact Arteriovenous Fistula Measurement. - Rumi Iwai; Takunori Shimazaki; Yoshifumi Kawakubo; Kei Fukami; Shingo Ata; Takeshi Yokoyama; Takashi Hitosugi; Aki Otsuka; Hiroyuki Hayashi; Masanobu Tsurumoto; Reiko Yokoyama; Tetsuya Yoshida; et al. (Sensors, 2022)

Alternating Approximation of Weave Diagrams under Heald Frame Constraint. - Tetsuya Yoshida (IVSP, 2023)