Takashi Isozaki

14 papers Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Model of Causal Explanation on Neural Networks for Tabular Data.
CoRR
Takashi Isozaki, Masahiro Yamamoto, Atsushi Noda
2025 J jnl
Practically Effective Adjustment Variable Selection in Causal Inference.
CoRR
Atsushi Noda, Takashi Isozaki
2018 J jnl
MAX-MIN Ant System with Memory Considering New Solution Importance.
J. Inf. Process.
Takashi Isozaki, Satoshi Hasegawa, Hajime Anada
2017 J jnl
Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations.
New Gener. Comput.
Takashi Isozaki, Manabu Kuroki
2015 — conf
Learning Maximal Ancestral Graphs with Robustness for Faithfulness Violations.
AMBN@JSAI-isAI
Takashi Isozaki, Manabu Kuroki
2014 J jnl
A Robust Causal Discovery Algorithm against Faithfulness Violation.
Inf. Media Technol.
Takashi Isozaki
2012 J jnl
A Thermodynamical Approach for Probability Estimation
CoRR
Takashi Isozaki
2012 J jnl
Learning Causal Bayesian Networks Using Minimum Free Energy Principle.
New Gener. Comput.
Takashi Isozaki
2010 — conf
First International Workshop on Advanced Methodologies for Bayesian Networks.
JSAI-isAI Workshops
Maomi Ueno, Takashi Isozaki
2009 J jnl
"Data temperature" in Minimum Free energies for Parameter Learning of Bayesian Networks.
Int. J. Artif. Intell. Tools
Takashi Isozaki, Noriji Kato, Maomi Ueno
2009 — conf
Bag-of-features approach for improvement of lung tissue classification in diffuse lung disease.
Computer-Aided Diagnosis
Noriji Kato, Motofumi Fukui, Takashi Isozaki
2009 — conf
Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks.
ECML/PKDD (1)
Takashi Isozaki, Maomi Ueno
2008 — conf
Minimum Free Energies with "Data Temperature" for Parameter Learning of Bayesian Networks.
ICTAI (1)
Takashi Isozaki, Noriji Kato, Maomi Ueno
2005 — conf
A New E-mail Agent Architecture Based on Semi-supervised Bayesian Networks.
CIMCA/IAWTIC
Takashi Isozaki, Kazunaga Horiuchi, Hirotsugu Kashimura