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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski