Kathryn Blackmond Laskey - researchr alias

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Viewing Publication 1 - 26 from 26

2024

Investigation of Phishing Susceptibility with Explainable Artificial IntelligenceZhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang. fi, 16(1):31, 2024. [doi]

2018

A Theory of Physically Embodied and Causally Effective AgencyKathryn Blackmond Laskey. information, 9(10):249, 2018. [doi]

Graphical Model Market Maker for Combinatorial Prediction MarketsKathryn Blackmond Laskey, Wei Sun 0009, Robin Hanson, Charles Twardy, Shou Matsumoto, Brandon Goldfedder. jair, 63:421-460, 2018. [doi]

2017

2016

A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation AwarenessCheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto. fusion 2016: 2116-2124 [doi]

An Extended Maritime Domain Awareness Probabilistic Ontology Derived from Human-aided Multi-Entity Bayesian Networks LearningCheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa. stids 2017: 28-36 [doi]

2015

Combinatorial prediction markets for fusing information from distributed experts and modelsKathryn Blackmond Laskey, Robin Hanson, Charles Twardy. fusion 2015: 1892-1898 [doi]

A Probabilistic Ontology for Large-Scale IP GeolocationKathryn Blackmond Laskey, Sudhanshu Chandekar, Bernd-Peter Paris. stids 2015: 18-25 [doi]

Message passing for Hybrid Bayesian Networks using Gaussian mixture reductionCheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto. icdim 2015: 210-216 [doi]

2014

Predictive situation awareness reference model using Multi-Entity Bayesian NetworksCheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto. fusion 2014: 1-8 [doi]

2013

Multi-Entity Bayesian Networks learning for hybrid variables in situation awarenessCheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto. fusion 2013: 1894-1901 [doi]

2012

Towards unbiased evaluation of uncertainty reasoning: The URREF ontologyPaulo Cesar G. da Costa, Kathryn Blackmond Laskey, Erik Blasch, Anne-Laure Jousselme. fusion 2012: 2301-2308 [doi]

Study of MEBN Learning for Relational ModelCheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto. stids 2012: 121-124 [doi]

2010

Compatibility Formalization Between PR-OWL and OWLRommel N. Carvalho, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa. cade 2010: [doi]

Nonparametric Bayesian Clustering EnsemblesPu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey. pkdd 2010: 435-450 [doi]

2007

Probabilistic Ontologies for Multi-INT FusionKathryn Blackmond Laskey, Paulo C. G. Costa, Terry L. Janssen. oic 2010: 147-161 [doi]

Quantum Causal NetworksKathryn Blackmond Laskey. aaaiss 2007: 142-149 [doi]

2000

Limited Rationality in Action: Decision Support for Military Situation AssessmentKathryn Blackmond Laskey, Bruce D'Ambrosio, Tod S. Levitt, Suzanne M. Mahoney. mima, 10(1):53-77, 2000. [doi]

1999

Learning extensible multi-entity directed graphical modelsKathryn Blackmond Laskey. aistats 1999: [doi]

1996

Model uncertainty: theory and practical implicationsKathryn Blackmond Laskey. tsmc, 26(3):340-348, 1996. [doi]

An introduction to issues in higher order uncertaintyPaul E. Lehner, Kathryn Blackmond Laskey, Didier Dubois. tsmc, 26(3):289-293, 1996. [doi]

1995

Sensitivity analysis for probability assessments in Bayesian networksKathryn Blackmond Laskey. tsmc, 25(6):901-909, 1995. [doi]

Bayesian Strategies for Machine Learning: Rule Extraction and Concept DetectionLaura Martignon, Kathryn Blackmond Laskey. snn 1995: 85-88 [doi]

1994

Metareasoning and the Problem of Small WorldsKathryn Blackmond Laskey, Paul E. Lehner. tsmc, 24(11):1643-1652, 1994. [doi]

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