H. Takeuchi

Do Heavy and Light Users Differ in the Web-Page Viewing Patterns? Analysis of Their Eye-Tracking Records by Heat Maps and Networks of Transitions

N. Matsuda, H. Takeuchi, 2011 .

C ORE AND P ERIPHERAL S EGMENTS OF W EB F RONTAL P AGES I DENTIFIED BY N ETWORK A NALYSIS OF E YE- T RACKING R ECORDS

N. Matsuda, H. Takeuchi, 2010 .

Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks

Ryotaro Kamimura, Haruhiko Takeuchi, R. Kamimura, 2019, Applied Intelligence.

Supervised semi-autoencoder learning for multi-layered neural networks

Ryotaro Kamimura, Haruhiko Takeuchi, R. Kamimura, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Scan-path analysis by the string-edit method considering fixation duration

Noriyuki Matsuda, Haruhiko Takeuchi, N. Matsuda, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

A Quantitative Method for Analyzing Scan Path Data Obtained by Eye Tracker

Haruhiko Takeuchi, Yoshiko Habuchi, H. Takeuchi, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks

Noriyuki Matsuda, Haruhiko Takeuchi, N. Matsuda, 2014, Appl. Comput. Intell. Soft Comput..

Improving collective interpretation by extended potentiality assimilation for multi-layered neural networks

Ryotaro Kamimura, Haruhiko Takeuchi, R. Kamimura, 2020, Connect. Sci..

Greedy information acquisition algorithm: A new information theoretic approach to dynamic information acquisition in neural networks

Ryotaro Kamimura, Haruhiko Takeuchi, Taeko Kamimura, 2002, Connect. Sci..

Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks

R. Kamimura, H. Takeuchi, 2019, Applied Intelligence.