Suboptimum Linear Feature Selection in Multiclass Problem. - Manabu Ichino; Keiji Hiramatsu (IEEE Trans. Syst. Man Cybern., 1974)

Multiclass Pattern Recognition Systems Based on Independent Subrecognition Systems. - Manabu Ichino (IEEE Trans. Syst. Man Cybern., 1976)

A Nonparametric Multiclass Pattern Classifier. - Manabu Ichino (IEEE Trans. Syst. Man Cybern., 1979)

Nonparametric Feature Selection Method Based on Local Interclass Structure. - Manabu Ichino (IEEE Trans. Syst. Man Cybern., 1981)

Optimum feature selection by zero-one integer programming. - Manabu Ichino; Jack Sklansky (IEEE Trans. Syst. Man Cybern., 1984)

The relative neighborhood graph for mixed feature variables. - Manabu Ichino; Jack Sklansky (Pattern Recognit., 1985)

Optimum feature selection for decision functions. - Manabu Ichino (Syst. Comput. Jpn., 1990)

Generalized Minkowski metrics for mixed feature-type data analysis. - Manabu Ichino; Hiroyuki Yaguchi (IEEE Trans. Syst. Man Cybern., 1994)

The New Feature Selection Method Based on the Interclass Distinguishibility and the Generality of Class Description. - Hiroyuki Yaguchi; Manabu Ichino (Electron. Notes Discret. Math., 1999)

An apparent simplicity appearing in pattern classification problems. - Manabu Ichino; Hiroyuki Yaguchi (Pattern Recognit., 2000)

Interclass analysis in symbolic pattern classification problems. - Manabu Ichino; Shinya Ishikawa (Comput. Stat., 2006)

Exploitation of Multivalued Type Proximity for Symbolic Feature Selection. - Bapu B. Kiranagi; D. S. Guru; Manabu Ichino (ICCTA, 2007)

Detection of chain structures embedded in multidimensional symbolic data. - Atsushi Nagoya; Yujiro Ono; Manabu Ichino (Pattern Recognit. Lett., 2009)

The quantile method for symbolic principal component analysis. - Manabu Ichino (Stat. Anal. Data Min., 2011)

Predicting Students' Behavior During an E-Learning Course Using Data Mining. - Kadri Umbleja; Manabu Ichino (ICL (2), 2016)

Improving symbolic data visualization for pattern recognition and knowledge discovery. - Kadri Umbleja; Manabu Ichino; Hiroyuki Yaguchi (Vis. Informatics, 2020)

Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data. - Kadri Umbleja; Manabu Ichino; Hiroyuki Yaguchi (Adv. Data Anal. Classif., 2021)