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Shou Matsumoto
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2020 – today
- 2024
- [c20]Han Jun Yoon, Shou Matsumoto, Paulo C. G. Costa, Jin-Hee Cho:
Towards an Efficient Simulation-Based Anytime Inference in Subjective Bayesian Networks. FUSION 2024: 1-8 - [c19]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: 1-7 - 2023
- [c18]Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali K. Raz, Paulo C. G. Costa, Joshua Poore, Ziyu Yao
:
MailEx: Email Event and Argument Extraction. EMNLP 2023: 12964-12987 - [c17]Shou Matsumoto, Jair Feldens Ferrari, Han Jun Yoon, Ashrith Reddy Thukkaraju, Donghwan Lee
Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework. FUSION 2023: 1-8 - [c16]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: 1-8 - [i3]Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali K. Raz, Paulo C. G. Costa, Joshua Poore, Ziyu Yao:
MAILEX: Email Event and Argument Extraction. CoRR abs/2305.13469 (2023) - 2021
- [c15]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: 1-9
2010 – 2019
- 2019
- [c14]James D. Lee, Wanru Li, Shou Matsumoto, Mohanad Ajina
Assessing the Performance of Panel Data Synthesis Approach. SysCon 2019: 1-6 - [c13]James D. Lee, Shou Matsumoto, Abbas K. Zaidi, Kathryn B. Laskey:
Towards Automating Design and Development of Inference Enterprise Models. SysCon 2019: 1-6 - [i2]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 abs/1904.12958 (2019) - 2018
- [j1]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: 421-460 (2018) - [i1]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 abs/1806.02415 (2018) - 2016
- [c12]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: 2116-2124 - [c11]Shou Matsumoto, Kathryn B. Laskey, Paulo C. G. Costa:
PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty. STIDS 2016: 37-45 - 2015
- [c10]Cheol Young Park
Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction. ICDIM 2015: 210-216 - 2014
- [c9]Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto:
Predictive situation awareness reference model using Multi-Entity Bayesian Networks. FUSION 2014: 1-8 - 2013
- [c8]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: 1894-1901 - [c7]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: 15-26 - [c6]Rommel N. Carvalho
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. URSW (LNCS Vol.) 2013: 19-40 - [c5]Estêvão F. Aguiar, Marcelo Ladeira, Rommel N. Carvalho, Shou Matsumoto:
A GUI for MLN. URSW 2013: 46-51 - 2012
- [c4]Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto:
Study of MEBN Learning for Relational Model. STIDS 2012: 121-124 - [c3]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: 8-17
2000 – 2009
- 2009
- [c2]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: 3-14 - [p1]Rommel N. Carvalho
A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN. Innovative Applications in Data Mining 2009: 17-45 - 2008
- [c1]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 2008: 631-636
Coauthor Index
aka: Paulo Cesar G. da Costa
aka: Kathryn Blackmond Laskey
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