Shou Matsumoto

According to our database, Shou Matsumoto authored at least 21 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the 31st International Symposium on Modeling, 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

Proceedings of the 26th International Conference on Information Fusion, 2023

MailEx: Email Event and Argument Extraction.

Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali Raz, Paulo C. G. Costa, Joshua Poore, Ziyu Yao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Dynamic Explanation of Bayesian Networks with Abductive Bayes Factor Qualitative Propagation and Entropy-Based Qualitative Explanation.

Shou Matsumoto, Alexandre Barreto, Paulo C. G. Costa, Brett Benyo, Michael Atighetchi, Daniel Javorsek

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

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

Towards Automating Design and Development of Inference Enterprise Models.

James D. Lee, Shou Matsumoto, Abbas K. Zaidi, Kathryn B. Laskey

Proceedings of the 2019 IEEE International Systems Conference, 2019

Assessing the Performance of Panel Data Synthesis Approach.

James D. Lee, Wanru Li, Shou Matsumoto, Mohanad Ajina, Bahram Yousefi, Kathryn B. Laskey

Proceedings of the 2019 IEEE International Systems Conference, 2019

2018

Graphical Model Market Maker for Combinatorial Prediction Markets.

Kathryn Blackmond Laskey, Wei Sun, Robin Hanson, Charles Twardy, Shou Matsumoto, Brandon Goldfedder

J. Artif. Intell. Res., 2018

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

2016

PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty.

Shou Matsumoto, Kathryn B. Laskey, Paulo C. G. Costa

Proceedings of the Eleventh Conference on Semantic Technology for Intelligence, 2016

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

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto

Proceedings of the Tenth International Conference on Digital Information Management, 2015

2014

Predictive situation awareness reference model using Multi-Entity Bayesian Networks.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto

Proceedings of the 17th International Conference on Information Fusion, 2014

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

Proceedings of the Uncertainty Reasoning for the Semantic Web II, 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

Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

A GUI for MLN.

Estêvão F. Aguiar, Marcelo Ladeira, Rommel N. Carvalho, Shou Matsumoto

Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

High-Level Information Fusion with Bayesian Semantics.

Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto

Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012

Study of MEBN Learning for Relational Model.

Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto

Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, 2012

2009

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

Proceedings of the Innovative Applications in Data Mining, 2009

2008

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

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008