Spline filter-A time-varying digital filter and its application. - Haruhiko Takeuchi; Kazuo Toraichi; Masaru Kamada; Ryoichi Mori (ICASSP, 1986)

Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks. - Ryotaro Kamimura; Taeko Kamimura; Haruhiko Takeuchi (Connect. Sci., 2002)

Generating Explicit Self-Organizing Maps by Information Maximization. - Ryotaro Kamimura; Haruhiko Takeuchi (IDEAL, 2003)

Flexible self-organizing maps by information maximization. - Ryotaro Kamimura; Haruhiko Takeuchi (IJCNN, 2003)

Using Psychological Word Database in Web Search. - Haruhiko Takeuchi; Muneo Kitajima; Haruhiko Urokobara (Web Intelligence, 2003)

The influence of web browsing experience on web-viewing behavior. - Yoshiko Habuchi; Haruhiko Takeuchi; Muneo Kitajima (ETRA, 2006)

A Quantitative Method for Analyzing Scan Path Data Obtained by Eye Tracker. - Haruhiko Takeuchi; Yoshiko Habuchi (CIDM, 2007)

Comparison of eye movements in searching for easy-to-find and hard-to-find information in a hierarchically organized information structure. - Yoshiko Habuchi; Muneo Kitajima; Haruhiko Takeuchi (ETRA, 2008)

An automatic web site menu structure evaluation. - Haruhiko Takeuchi (FUZZ-IEEE, 2009)

Networks Emerging from Shifts of Interests in Eye-Tracking Records. - Noriyuki Matsuda; Haruhiko Takeuchi (e Minds Int. J. Hum. Comput. Interact., 2011)

The Characteristics of Usability and Users' Eye movements in Searching for Information in a Hierarchically Organized Information Structure. - Yoshiko Habuchi; Haruhiko Takeuchi (CogSci, 2012)

Scan-path analysis by the string-edit method considering fixation duration. - Haruhiko Takeuchi; Noriyuki Matsuda (SCIS&ISIS, 2012)

Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks. - Noriyuki Matsuda; Haruhiko Takeuchi (Appl. Comput. Intell. Soft Comput., 2014)

Supervised semi-autoencoder learning for multi-layered neural networks. - Ryotaro Kamimura; Haruhiko Takeuchi (IFSA-SCIS, 2017)

Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-layered Neural Networks. - Ryotaro Kamimura; Haruhiko Takeuchi (IIAI-AAI, 2018)

Excessive, Selective and Collective Information Processing to Improve and Interpret Multi-layered Neural Networks. - Ryotaro Kamimura; Haruhiko Takeuchi (IntelliSys (1), 2018)

Correlation-Constrained Mutual Information Maximization for Interpretable Multi-Layered Neural Networks. - Ryotaro Kamimura; Haruhiko Takeuchi (SCIS&ISIS, 2018)

Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks. - Ryotaro Kamimura; Haruhiko Takeuchi (Appl. Intell., 2019)

Improving collective interpretation by extended potentiality assimilation for multi-layered neural networks. - Ryotaro Kamimura; Haruhiko Takeuchi (Connect. Sci., 2020)