A New E-mail Agent Architecture Based on Semi-supervised Bayesian Networks. - Takashi Isozaki; Kazunaga Horiuchi; Hirotsugu Kashimura (CIMCA/IAWTIC, 2005)

Minimum Free Energies with "Data Temperature" for Parameter Learning of Bayesian Networks. - Takashi Isozaki; Noriji Kato; Maomi Ueno (ICTAI (1), 2008)

Bag-of-features approach for improvement of lung tissue classification in diffuse lung disease. - Noriji Kato; Motofumi Fukui; Takashi Isozaki (Computer-Aided Diagnosis, 2009)

Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks. - Takashi Isozaki; Maomi Ueno (ECML/PKDD (1), 2009)

"Data temperature" in Minimum Free energies for Parameter Learning of Bayesian Networks. - Takashi Isozaki; Noriji Kato; Maomi Ueno (Int. J. Artif. Intell. Tools, 2009)

First International Workshop on Advanced Methodologies for Bayesian Networks. - Maomi Ueno; Takashi Isozaki (JSAI-isAI Workshops, 2010)

A Thermodynamical Approach for Probability Estimation - Takashi Isozaki (CoRR, 2012)

Learning Causal Bayesian Networks Using Minimum Free Energy Principle. - Takashi Isozaki (New Gener. Comput., 2012)

A Robust Causal Discovery Algorithm against Faithfulness Violation. - Takashi Isozaki (Inf. Media Technol., 2014)

Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations. - Takashi Isozaki; Manabu Kuroki (AMBN@JSAI-isAI, 2015)

Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations. - Takashi Isozaki; Manabu Kuroki (New Gener. Comput., 2017)

MAX-MIN Ant System with Memory Considering New Solution Importance. - Takashi Isozaki; Satoshi Hasegawa; Hajime Anada (J. Inf. Process., 2018)

Practically Effective Adjustment Variable Selection in Causal Inference. - Atsushi Noda; Takashi Isozaki (CoRR, 2025)