Shou Matsumoto

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 13

Top Topics

Gaussian Mixture

Situation Aware

Top Venues

Publications

Han Jun Yoon, Ashrith Reddy Thukkaraju, Shou Matsumoto, Jair Feldens Ferrari, Donghwan Lee, Myung Kil Ahn, Paulo C. G. Costa, Jin-Hee Cho
iMIA: Interdependent Mission Impact Assessment Using Subjective Bayesian Networks. NOMS (2024)
Ashrith Reddy Thukkaraju, Han Jun Yoon, Shou Matsumoto, Jair Feldens Ferrari, Donghwan Lee, Myung Kil Ahn, Paulo C. G. Costa, Jin-Hee Cho
Interdependent Mission Impact Assessment of an IoT System with Hypergame- heoretic Attack-Defense Behavior Modeling. MASCOTS (2023)
Shou Matsumoto, Jair Feldens Ferrari, Han Jun Yoon, Ashrith Reddy Thukkaraju, Donghwan Lee, Myung Kil Ahn, Jin-Hee Cho, Paulo C. G. Costa
Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework. FUSION (2023)
Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali Raz, Paulo C. G. Costa, Joshua Poore, Ziyu Yao
MailEx: Email Event and Argument Extraction. EMNLP (2023)
Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali Raz, Paulo C. G. Costa, Joshua Poore, Ziyu Yao
MAILEX: Email Event and Argument Extraction. CoRR (2023)
Shou Matsumoto, Alexandre Barreto, Paulo C. G. Costa, Brett Benyo, Michael Atighetchi, Daniel Javorsek
Dynamic Explanation of Bayesian Networks with Abductive Bayes Factor Qualitative Propagation and Entropy-Based Qualitative Explanation. FUSION (2021)
James D. Lee, Shou Matsumoto, Abbas K. Zaidi, Kathryn B. Laskey
Towards Automating Design and Development of Inference Enterprise Models. SysCon (2019)
James D. Lee, Wanru Li, Shou Matsumoto, Mohanad Ajina, Bahram Yousefi, Kathryn B. Laskey
Assessing the Performance of Panel Data Synthesis Approach. SysCon (2019)
Cheol Young Park, Shou Matsumoto, Jubyung Ha, YoungWon Park
Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud. CoRR (2019)
Kathryn Blackmond Laskey, Wei Sun, Robin Hanson, Charles Twardy, Shou Matsumoto, Brandon Goldfedder
Graphical Model Market Maker for Combinatorial Prediction Markets. J. Artif. Intell. Res. 63 (2018)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. CoRR (2018)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto
A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness. FUSION (2016)
Shou Matsumoto, Kathryn B. Laskey, Paulo C. G. Costa
PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty. STIDS (2016)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto
Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction. ICDIM (2015)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto
Predictive situation awareness reference model using Multi-Entity Bayesian Networks. FUSION (2014)
Rommel N. Carvalho, Marcelo Ladeira, Rafael Mezzomo de Souza, Shou Matsumoto, Henrique A. Da Rocha, Gilson Libório Mendes
UMP-ST plug-in: A Tool for Documenting, Maintaining, and Evolving Probabilistic Ontologies. URSW (2013)
Rommel N. Carvalho, Shou Matsumoto, Kathryn B. Laskey, Paulo Cesar G. da Costa, Marcelo Ladeira, Laécio L. Santos
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. URSW (LNCS Vol.) (2013)
Estêvão F. Aguiar, Marcelo Ladeira, Rommel N. Carvalho, Shou Matsumoto
A GUI for MLN. URSW (2013)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto
Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness. FUSION (2013)
Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto
Study of MEBN Learning for Relational Model. STIDS (2012)
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang, Wei Sun, Cheol Young Park, Shou Matsumoto
High-Level Information Fusion with Bayesian Semantics. BMA (2012)
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa, Marcelo Ladeira, Laécio L. Santos, Shou Matsumoto
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. URSW (2009)
Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N. Carvalho, Kathryn B. Laskey, Laécio L. Santos, Shou Matsumoto
A First-Order Bayesian Tool for Probabilistic Ontologies. FLAIRS Conference (2008)