Renormalization group approach to hierarchical image analysis. - Ikuo Matsuba (ICASSP, 1988)

New approach to the storage capacity of neural networks using the minimum distance between input patterns. - Hiroki Suyari; Ikuo Matsuba (IJCNN, 1999)

Randomly Connected Neural Networks Displaying 1/f Spectra. - Hiroki Suyari; Yoshinobu Kamitani; Ikuo Matsuba (IJCNN (6), 2000)

Generalized Information Criterion for Linear and Nonlinear Processes. - Ikuo Matsuba (Int. J. Bifurc. Chaos, 2002)

Stochastically Equivalent Dynamical System Approach to Nonlinear Deterministic Prediction. - Ikuo Matsuba; Hiroshi Takahashi; Shinya Wakasa (Int. J. Bifurc. Chaos, 2006)

Collaborative filtering based on an iterative prediction method to alleviate the sparsity problem. - Amira Abdelwahab; Hiroo Sekiya; Ikuo Matsuba; Yasuo Horiuchi; Shingo Kuroiwa (iiWAS, 2009)

An efficient collaborative filtering algorithm using SVD-free latent Semantic indexing and particle swarm optimization. - Amira Abdelwahab; Hiroo Sekiya; Ikuo Matsuba; Yasuo Horiuchi; Shingo Kuroiwa; Masafumi Nishida (NLPKE, 2009)

Archive-shared cooperative coevolutionary algorithm using Nash equilibria preservation. - Haoyang Chen; Yasukuni Mori; Ikuo Matsuba (CCIS, 2012)

Alleviating the Sparsity Problem of Collaborative Filtering Using an Efficient Iterative Clustered Prediction Technique. - Amira Abdelwahab; Hiroo Sekiya; Ikuo Matsuba; Yasuo Horiuchi; Shingo Kuroiwa (Int. J. Inf. Technol. Decis. Mak., 2012)

Solving the balance problem of massively multiplayer online role-playing games using coevolutionary programming. - Haoyang Chen; Yasukuni Mori; Ikuo Matsuba (Appl. Soft Comput., 2014)