Kathryn B. Laskey

Orcid: 0000-0002-3106-140X

Affiliations:
  • George Mason University, Fairfax, Virginia, USA


According to our database1, Kathryn B. Laskey authored at least 138 papers between 1986 and 2024.

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Bibliography

2024
Investigation of Phishing Susceptibility with Explainable Artificial Intelligence.
Future Internet, 2024

2023
Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions.
Proceedings of the 26th International Conference on Information Fusion, 2023

Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models.
Proceedings of the 26th International Conference on Information Fusion, 2023

URREF Risk analysis towards Data Fusion Certification.
Proceedings of the 26th International Conference on Information Fusion, 2023

2022
Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach.
Proceedings of the 25th International Conference on Information Fusion, 2022

Hypergraph Simultaneous Generators.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Experimental Investigation of Technical and Human Factors Related to Phishing Susceptibility.
ACM Trans. Soc. Comput., 2021

Uncertainty Evaluation of Temporal Trust in a Fusion System Using the URREF Ontology.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Bridging Heuristic and Deep Learning Approaches to Sensor Tasking.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Use of the URREF towards Information Fusion Accountability Evaluation.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Design patterns for modeling first-order expressive Bayesian networks.
Knowl. Eng. Rev., 2020

Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Experimental Investigation of Demographic Factors Related to Phishing Susceptibility.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Using AI to Identify Optimal Drilling Locations for Sustainable Irrigation for Subsistence Agriculture.
Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

2019
Statistical literacy for classification under risk: an educational perspective.
AStA Wirtschafts und Sozialstatistisches Arch., 2019

Towards Automating Design and Development of Inference Enterprise Models.
Proceedings of the 2019 IEEE International Systems Conference, 2019

Assessing the Performance of Panel Data Synthesis Approach.
Proceedings of the 2019 IEEE International Systems Conference, 2019

Online System Evaluation and Learning of Data Source Models: a Probabilistic Generative Approach.
Proceedings of the 22th International Conference on Information Fusion, 2019

Online Learning Techniques for Space Situational Awareness (Poster).
Proceedings of the 22th International Conference on Information Fusion, 2019

Secure Method for De-Identifying and Anonymizing Large Panel Datasets.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Inference enterprise models: An approach to organizational performance improvement.
WIREs Data Mining Knowl. Discov., 2018

Graphical Model Market Maker for Combinatorial Prediction Markets.
J. Artif. Intell. Res., 2018

A Theory of Physically Embodied and Causally Effective Agency.
Inf., 2018

Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness.
CoRR, 2018

MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model.
CoRR, 2018

Human-aided Multi-Entity Bayesian Networks Learning from Relational Data.
CoRR, 2018

Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks.
CoRR, 2018

A non-parametric Approach to simulate Panel Data.
Proceedings of the 2018 Winter Simulation Conference, 2018

2017
PR-OWL - a language for defining probabilistic ontologies.
Int. J. Approx. Reason., 2017

Subjects under evaluation with the URREF ontology.
Proceedings of the 20th International Conference on Information Fusion, 2017

Evaluation metrics for the practical application of URREF ontology: An illustration on data criteria.
Proceedings of the 20th International Conference on Information Fusion, 2017

Predictive situation awareness model for smart manufacturing.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Uncertainty modeling process for semantic technology.
PeerJ Comput. Sci., 2016

An Extended Maritime Domain Awareness Probabilistic Ontology Derived from Human-aided Multi-Entity Bayesian Networks Learning.
Proceedings of the Eleventh Conference on Semantic Technology for Intelligence, 2016

PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty.
Proceedings of the Eleventh Conference on Semantic Technology for Intelligence, 2016

Developing an Ontology for Individual and Organizational Sociotechnical Indicators of Insider Threat Risk.
Proceedings of the Eleventh Conference on Semantic Technology for Intelligence, 2016

Probabilistic Argument Maps for Intelligence Analysis: Capabilities Underway.
Proceedings of the 16th Workshop on Computational Models of Natural Argument co-located with IJCAI 2016, 2016

Probabilistic Argument Maps for Intelligence Analysis: Completed Capabilities.
Proceedings of the 16th Workshop on Computational Models of Natural Argument co-located with IJCAI 2016, 2016

Uncertainty evaluation of data and information fusion within the context of the decision loop.
Proceedings of the 19th International Conference on Information Fusion, 2016

A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness.
Proceedings of the 19th International Conference on Information Fusion, 2016

Pragmatic data fusion uncertainty concerns: Tribute to Dave L. Hall.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
A Probabilistic Ontology for Large-Scale IP Geolocation.
Proceedings of the Tenth Conference on Semantic Technology for Intelligence, 2015

Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction.
Proceedings of the Tenth International Conference on Digital Information Management, 2015

Uncertainty representation, quantification and evaluation for data and information fusion.
Proceedings of the 18th International Conference on Information Fusion, 2015

Scalable uncertainty treatment using triplestores and the OWL 2 RL profile.
Proceedings of the 18th International Conference on Information Fusion, 2015

Combinatorial prediction markets for fusing information from distributed experts and models.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Interval Elicitation of Forecasts in a Prediction Market Reveals Lack of Anchoring "Bias".
CoRR, 2014

Trade-based Asset Model using Dynamic Junction Tree for Combinatorial Prediction Markets.
CoRR, 2014

Using Bayesian Attack Detection Models to Drive Cyber Deception.
Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014

Trade-Based Asset Models for Combinatorial Prediction Markets.
Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014

A URREF interpretation of Bayesian network information fusion.
Proceedings of the 17th International Conference on Information Fusion, 2014

Predictive situation awareness reference model using Multi-Entity Bayesian Networks.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (1999)
CoRR, 2013

An Application of Non-Monotonic Probabilistic Reasoning to Air Force Threat Correlation
CoRR, 2013

Belief in Belief Functions: An Examination of Shafer's Canonical Examples
CoRR, 2013

A Probabilistic Reasoning Environment
CoRR, 2013

Learning Parameters by Prediction Markets and Kelly Rule for Graphical Models.
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013

Transforming Personal Artifacts into Probabilistic Narratives.
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013

Combinatorial Prediction Markets: An Experimental Study.
Proceedings of the Scalable Uncertainty Management - 7th International Conference, 2013

Context Correlation Using Probabilistic Semantics.
Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, 2013

A Reference Architecture for Probabilistic Ontology Development.
Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, 2013

Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil.
Proceedings of the Uncertainty Reasoning for the Semantic Web II, 2013

Context-Based Event Ontology Extension in Multimedia Applications.
Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing, 2013

Relevant Subsequence Detection with Sparse Dictionary Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness.
Proceedings of the 16th International Conference on Information Fusion, 2013

URREF reliability versus credibility in information fusion (STANAG 2511).
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
High-Level Information Fusion with Bayesian Semantics.
Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012

Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Study of MEBN Learning for Relational Model.
Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, 2012

The URREF Ontology for Semantic Wide Area Motion Imagery Exploitation.
Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, 2012

Beam Methods for the Profile Hidden Markov Model.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Family of Feed-Forward Models for Protein Sequence Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Feature Enriched Nonparametric Bayesian Co-clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Towards unbiased evaluation of uncertainty reasoning: The URREF ontology.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
PR-OWL 2 Case Study: A Maritime Domain Probabilistic Ontology.
Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, 2011

Nonparametric Bayesian Co-clustering Ensembles.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Evaluating uncertainty representation and reasoning in HLF systems.
Proceedings of the 14th International Conference on Information Fusion, 2011

Modeling a probabilistic ontology for Maritime Domain Awareness.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Envisioning uncertainty in geospatial information.
Int. J. Approx. Reason., 2010

Introduction to the special issue on Bayesian model views.
Int. J. Approx. Reason., 2010

PR-OWL 2.0 - Bridging the gap to OWL semantics.
Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), 2010

Nonparametric Bayesian Clustering Ensembles.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

High-level fusion: Issues in developing a formal theory.
Proceedings of the 13th Conference on Information Fusion, 2010

PROGNOS: Predictive situational awareness with probabilistic ontologies.
Proceedings of the 13th Conference on Information Fusion, 2010

Scalable inference for hybrid Bayesian networks with full density estimations.
Proceedings of the 13th Conference on Information Fusion, 2010

Compatibility Formalization Between PR-OWL and OWL.
Proceedings of the First International Workshop on Uncertainty in Description Logics, 2010

2009
Uncertainty Representation and Reasoning in Complex Systems.
Proceedings of the Complex Systems in Knowledge-based Environments: Theory, 2009

Axiomatic First-Order Probability.
Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), 2009

Latent Dirichlet Bayesian Co-Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

A multi-disciplinary approach to high level fusion in predictive situational awareness.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
MEBN: A language for first-order Bayesian knowledge bases.
Artif. Intell., 2008

Uncertainty Reasoning for the World Wide Web: Report on the URW3-XG Incubator Group.
Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, 2008

Ontology of Evidence.
Proceedings of the Towards Effective Exploitation and Integration of Intelligence Resources, 2008

Probabilistic ontologies for knowledge fusion.
Proceedings of the 11th International Conference on Information Fusion, 2008

A First-Order Bayesian Tool for Probabilistic Ontologies.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
Probabilistic Ontologies for Multi-INT Fusion.
Proceedings of the Ontologies and Semantic Technologies for Intelligence [papers from the Second International Ontology for the Intelligence Community (OIC) Conference, 2007

Probabilistic ontology for net-centric fusion.
Proceedings of the 10th International Conference on Information Fusion, 2007

Quantum Causal Networks.
Proceedings of the Quantum Interaction, 2007

2006
Quantum Physical Symbol Systems.
J. Log. Lang. Inf., 2006

Propagation of Delays in the National Airspace System.
Proceedings of the UAI '06, 2006

A Proposal for a W3C XG on Uncertainty Reasoning for the World Wide Web.
Proceedings of the Second ISWC Workshop on Uncertainty Reasoning for the Semantic Web, 2006

Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services.
Proceedings of the Second ISWC Workshop on Uncertainty Reasoning for the Semantic Web, 2006

Credibility Models for Multi-Source Fusion.
Proceedings of the 9th International Conference on Information Fusion, 2006

PR-OWL: A Framework for Probabilistic Ontologies.
Proceedings of the Formal Ontology in Information Systems, 2006

2005
Of Starships and Klingons: Bayesian Logic for the 23rd Century.
Proceedings of the UAI '05, 2005

PR-OWL: A Bayesian Ontology Language for the Semantic Web.
Proceedings of the International Semantic Web Conference, 2005

PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support.
Proceedings of the Challenges to Decision Support in a Changing World, 2005

2003
Population Markov Chain Monte Carlo.
Mach. Learn., 2003

2001
Hypothesis Management in Situation-Specific Network Construction.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

2000
Network Engineering for Agile Belief Network Models.
IEEE Trans. Knowl. Data Eng., 2000

Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies.
Neural Comput., 2000

Limited Rationality in Action: Decision Support for Military Situation Assessment.
Minds Mach., 2000

1999
Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Representing and Combining Partially Specified CPTs.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

An Application of Uncertain Reasoning to Requirements Engineering.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Learning extensible multi-entity directed graphical models.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Constructing Situation Specific Belief Networks.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997
Network Fragments: Representing Knowledge for Constructing Probabilistic Models.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1996
An introduction to issues in higher order uncertainty.
IEEE Trans. Syst. Man Cybern. Part A, 1996

Model uncertainty: theory and practical implications.
IEEE Trans. Syst. Man Cybern. Part A, 1996

Network Engineering for Complex Belief Networks.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Bayesian Learning of Loglinear Models for Neural Connectivity.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian Approach.
Proceedings of the Artificial Neural Networks, 1996

1995
Sensitivity analysis for probability assessments in Bayesian networks.
IEEE Trans. Syst. Man Cybern., 1995

Bayesian Strategies for Machine Learning: Rule Extraction and Concept Detection.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1994
Metareasoning and the Problem of Small Worlds.
IEEE Trans. Syst. Man Cybern. Syst., 1994

Bounded rationality and search over small-world models.
Int. J. Approx. Reason., 1994

1992
The Bounded Bayesian.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Bayesian Meta-Reasoning: Determining Model Adequacy from within a Small World.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1991
Conflict and Surprise: Heuristics for Model Revision.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1990
Adapting connectionist learning to Bayes networks.
Int. J. Approx. Reason., 1990

1989
Representing and eliciting knowledge about uncertain evidence and its implications.
IEEE Trans. Syst. Man Cybern., 1989

Assumptions, Beliefs and Probabilities.
Artif. Intell., 1989

1988
Hierarchical evidence and belief functions.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

Belief Maintenance: An Integrated Approach to Uncertainty Management.
Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1986
Applications of the Dempster-Shafer theory of evidence for simulation.
Proceedings of the 18th conference on Winter simulation, 1986


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