A First-Order Bayesian Tool for Probabilistic Ontologies. - Paulo Cesar G. da Costa; Marcelo Ladeira; Rommel N. Carvalho; Kathryn B. Laskey; Laécio L. Santos; Shou Matsumoto (FLAIRS, 2008)

A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN. - Rommel N. Carvalho; Marcelo Ladeira; Laécio L. Santos; Shou Matsumoto; Paulo Cesar G. da Costa (Innovative Applications in Data Mining, 2009)

Study of MEBN Learning for Relational Model. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa; Shou Matsumoto (STIDS, 2012)

High-Level Information Fusion with Bayesian Semantics. - Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang; Wei Sun 009; Cheol Young Park; Shou Matsumoto (BMA, 2012)

Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa; Shou Matsumoto (FUSION, 2013)

A GUI for MLN. - Estêvão F. Aguiar; Marcelo Ladeira; Rommel N. Carvalho; Shou Matsumoto (URSW, 2013)

UMP-ST plug-in: A Tool for Documenting, Maintaining, and Evolving Probabilistic Ontologies. - Rommel N. Carvalho; Marcelo Ladeira; Rafael Mezzomo de Souza; Shou Matsumoto; Henrique A. Da Rocha; Gilson Libório Mendes (URSW, 2013)

Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. - Rommel N. Carvalho; Shou Matsumoto; Kathryn B. Laskey; Paulo Cesar G. da Costa; Marcelo Ladeira; Laécio L. Santos (URSW (LNCS Vol.), 2013)

Predictive situation awareness reference model using Multi-Entity Bayesian Networks. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (FUSION, 2014)

Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (ICDIM, 2015)

A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (FUSION, 2016)

PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty. - Shou Matsumoto; Kathryn B. Laskey; Paulo C. G. Costa (STIDS, 2016)

Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (CoRR, 2018)

Graphical Model Market Maker for Combinatorial Prediction Markets. - Kathryn Blackmond Laskey; Wei Sun 009; Robin Hanson; Charles Twardy; Shou Matsumoto; Brandon Goldfedder (J. Artif. Intell. Res., 2018)

Assessing the Performance of Panel Data Synthesis Approach. - James D. Lee; Wanru Li; Shou Matsumoto; Mohanad Ajina; Bahram Yousefi; Kathryn B. Laskey (SysCon, 2019)

Towards Automating Design and Development of Inference Enterprise Models. - James D. Lee; Shou Matsumoto; Abbas K. Zaidi; Kathryn B. Laskey (SysCon, 2019)

Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud. - Cheol Young Park; Shou Matsumoto; Jubyung Ha; YoungWon Park (CoRR, 2019)

Dynamic Explanation of Bayesian Networks with Abductive Bayes Factor Qualitative Propagation and Entropy-Based Qualitative Explanation. - Shou Matsumoto; Alexandre Barreto 001; Paulo C. G. Costa; Brett Benyo; Michael Atighetchi; Daniel Javorsek (FUSION, 2021)

MailEx: Email Event and Argument Extraction. - Saurabh Srivastava; Gaurav Singh; Shou Matsumoto; Ali K. Raz; Paulo C. G. Costa; Joshua Poore; Ziyu Yao 002 (EMNLP, 2023)

Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework. - Shou Matsumoto; Jair Feldens Ferrari; Han Jun Yoon; Ashrith Reddy Thukkaraju; Donghwan Lee; Myung Kil Ahn; Jin-Hee Cho; Paulo C. G. Costa (FUSION, 2023)

Interdependent Mission Impact Assessment of an IoT System with Hypergame- heoretic Attack-Defense Behavior Modeling. - Ashrith Reddy Thukkaraju; Han Jun Yoon; Shou Matsumoto; Jair Feldens Ferrari; Donghwan Lee; Myung Kil Ahn; Paulo C. G. Costa; Jin-Hee Cho (MASCOTS, 2023)

Towards an Efficient Simulation-Based Anytime Inference in Subjective Bayesian Networks. - Han Jun Yoon; Shou Matsumoto; Paulo C. G. Costa; Jin-Hee Cho (FUSION, 2024)

iMIA: Interdependent Mission Impact Assessment Using Subjective Bayesian Networks. - Han Jun Yoon; Ashrith Reddy Thukkaraju; Shou Matsumoto; Jair Feldens Ferrari; Donghwan Lee; Myung Kil Ahn; Paulo C. G. Costa; Jin-Hee Cho (NOMS, 2024)

Subjective-Bayesian-Network-Based Interdependent Mission Impact Assessment With Game-Theoretic Attack-Defense Interactions. - Han Jun Yoon; Ashrith Reddy Thukkaraju; Shou Matsumoto; Jair Feldens Ferrari; Donghwan Lee; Myung Kil Ahn; Paulo Costa 003; Jin-Hee Cho (IEEE Internet Things J., 2025)