A Complete Axiom System for Algebra of Closed-Regular Expression. - Hiroyuki Izumi; Yasuyoshi Inagaki; Namio Honda (ICALP, 1984)

A study of a divided learning method. - Masao Yoshida; Akira Iwata; Nobukazu Iijima; Ryuichi Ejiri; Hiroyuki Izumi; Mototaka Sone; Hideo Mitsui (IJCNN, 1990)

Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICANN (2), 2005)

Discriminant Analysis by a Neural Network with Mahalanobis Distance. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICANN (2), 2006)

Learning of Bayesian Discriminant Functions by a Layered Neural Network. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICONIP (1), 2007)

A Neural Network having Fewer Inner Constants to be Trained and Bayesian Decision. - Yoshifusa Ito; Crinivasan Srinivasan; Hiroyuki Izumi (IJCNN, 2007)

Multi-category Bayesian Decision by Neural Networks. - Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi (ICANN (1), 2008)

Learning of Mahalanobis Discriminant Functions by a Neural Network. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (1), 2009)

Simultaneous Learning of Several Bayesian Discriminant Functions by a Neural Network with Additional Nodes. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (Aust. J. Intell. Inf. Process. Syst., 2010)

A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (2), 2011)

Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (IJCNN, 2011)

Simultaneous Learning of Several Bayesian and Mahalanobis Discriminant Functions by a Neural Network with Memory Nodes. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (5), 2012)

Estimation of Hidden Markov Chains by a Neural Network. - Yoshifusa Ito; Hiroyuki Izumi; Cidambi Srinivasan (ICONIP (1), 2014)

Simplified Standing Function Evaluation System for Fall Prevention. - Mami Sakata; Keisuke Shima; Koji Shimatani; Hiroyuki Izumi (ICIRA (2), 2016)

A Standing Function Evaluation System Based on Virtual Light Touch Contact and Factor Analysis. - Mami Sakata; Dai Kawahara; Keisuke Shima; Hiroyuki Izumi; Tomoyuki Nagara; Koji Shimatani (EMBC, 2018)

Feature Selection for Work Recognition and Working Motion Measurement. - Saori Miyajima; Takayuki Tanaka; Natsuki Miyata; Mitsunori Tada; Masaaki Mochimaru; Hiroyuki Izumi (J. Robotics Mechatronics, 2018)

Development of an anomaly detection method with a novel hidden semi-Markov model incorporating unlearned states. - Takayuki Mukaeda; Keisuke Shima; Saori Miyajima; Yuki Hashimoto; Takayuki Tanaka; Naomichi Tani; Hiroyuki Izumi (SII, 2020)