Kathryn B. Laskey

ORCID

Publication Activity (10 Years)

Years Active: 1986-2023
Publications (10 Years): 32

Top Venues

Publications

Anne-Laure Jousselme, Johan Pieter de Villiers, Allan De Freitas, Erik Blasch, Valentina Dragos, Gregor Pavlin, Paulo C. G. Costa, Kathryn B. Laskey, Claire Laudy
Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models. FUSION (2023)
Erik Blasch, Anne-Laure Jousselme, Kathryn B. Laskey, Paulo C. G. Costa, Johan Pieter de Villiers, Gregor Pavlin, Claire Laudy
URREF Risk analysis towards Data Fusion Certification. FUSION (2023)
Gregor Pavlin, Kathryn B. Laskey, Franck Mignet, Filip S. Slijkhuis, Erik Blasch, Valentina Dragos, Johan Pieter de Villiers, Lennard Jansen
Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions. FUSION (2023)
Bahman Pedrood, Carlotta Domeniconi, Kathryn B. Laskey
Hypergraph Simultaneous Generators. AISTATS (2022)
Gregor Pavlin, Johan Pieter de Villiers, Kathryn B. Laskey, Franck Mignet, Lennard Jansen
Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach. FUSION (2022)
G. Pavlin, Johan Pieter de Villiers, J. Ziegler, Anne-Laure Jousselme, Paulo C. G. Costa, Kathryn B. Laskey, Alta de Waal, Erik Blasch, Lennard Jansen
Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems. FUSION (2021)
Frank L. Greitzer, Wanru Li, Kathryn B. Laskey, James D. Lee, Justin Purl
Experimental Investigation of Technical and Human Factors Related to Phishing Susceptibility. ACM Trans. Soc. Comput. 4 (2) (2021)
Erik Philip Blasch, Johan Pieter de Villiers, Gregor Pavin, Anne-Laure Jousselme, Paulo C. G. Costa, Kathryn B. Laskey, Jurgen Ziegler
Use of the URREF towards Information Fusion Accountability Evaluation. FUSION (2021)
Ashton E. Harvey, Kathryn B. Laskey, Kuo-Chu Chang
Bridging Heuristic and Deep Learning Approaches to Sensor Tasking. FUSION (2021)
Johan Pieter de Villiers, Gregor Pavlin, Jürgen Ziegler, Anne-Laure Jousselme, Paulo C. G. Costa, Eric Blasch, Kathryn B. Laskey, Claire Laudy, Alta de Waal, Jin-Hee Cho
Uncertainty Evaluation of Temporal Trust in a Fusion System Using the URREF Ontology. FUSION (2021)
Wanru Li, Kathryn B. Laskey, Mekuanent Muluneh, Rupert Douglas-Bate, Hemant Purohit, Paul Houser
Using AI to Identify Optimal Drilling Locations for Sustainable Irrigation for Subsistence Agriculture. AI4SG@AAAI Fall Symposium (2020)
Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi
Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization. ICDM (2020)
Mark Locher, Kathryn B. Laskey, Paulo C. G. Costa
Design patterns for modeling first-order expressive Bayesian networks. Knowl. Eng. Rev. 35 (2020)
Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi
Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization. CoRR (2020)
Wanru Li, James D. Lee, Justin Purl, Frank L. Greitzer, Bahram Yousefi, Kathryn B. Laskey
Experimental Investigation of Demographic Factors Related to Phishing Susceptibility. HICSS (2020)
Gregor Pavlin, Anne-Laure Jousselme, Johan Pieter de Villiers, Paulo C. G. Costa, Kathryn B. Laskey, Franck Mignet, Alta de Waal
Online System Evaluation and Learning of Data Source Models: a Probabilistic Generative Approach. FUSION (2019)
Laura Martignon, Kathryn B. Laskey
Statistical literacy for classification under risk: an educational perspective. AStA Wirtschafts und Sozialstatistisches Arch. 13 (3-4) (2019)
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)
Mohanad Ajina, Bahram Yousefi, Jim Jones, Kathryn B. Laskey
Secure Method for De-Identifying and Anonymizing Large Panel Datasets. FUSION (2019)
Ashton E. Harvey, Kathryn B. Laskey
Online Learning Techniques for Space Situational Awareness (Poster). FUSION (2019)
Bahram Yousefi, Mohanad Ajina, Muhammad Imran, Kathryn B. Laskey
A non-parametric Approach to simulate Panel Data. WSC (2018)
Dennis M. Buede, Elise T. Axelrad, David P. Brown, Daniel W. Hudson, Kathryn B. Laskey, Paul J. Sticha, Jordan L. Thomas
Inference enterprise models: An approach to organizational performance improvement. WIREs Data Mining Knowl. Discov. 8 (6) (2018)
Rommel N. Carvalho, Kathryn B. Laskey, Paulo C. G. Costa
PR-OWL - a language for defining probabilistic ontologies. Int. J. Approx. Reason. 91 (2017)
Johan Pieter de Villiers, Anne-Laure Jousselme, Alta de Waal, Gregor Pavlin, Kathryn B. Laskey, Erik Blasch, Paulo C. G. Costa
Uncertainty evaluation of data and information fusion within the context of the decision loop. FUSION (2016)
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa
Uncertainty modeling process for semantic technology. PeerJ Prepr. 4 (2016)
Robert Schrag, Joan McIntyre, Melonie Richey, Kathryn B. Laskey, Edward Wright, Robert Kerr, Robert Johnson, Bryan Ware, Robert Hoffman
Probabilistic Argument Maps for Intelligence Analysis: Completed Capabilities. CMNA@IJCAI (2016)
Robert Schrag, Edward Wright, Robert Kerr, Robert Johnson, Bryan Ware, Joan McIntyre, Melonie Richey, Kathryn B. Laskey, Robert Hoffman
Probabilistic Argument Maps for Intelligence Analysis: Capabilities Underway. CMNA@IJCAI (2016)
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa
Uncertainty modeling process for semantic technology. PeerJ Comput. Sci. 2 (2016)
Shou Matsumoto, Kathryn B. Laskey, Paulo C. G. Costa
PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty. STIDS (2016)
Frank L. Greitzer, Muhammad Imran, Justin Purl, Elise T. Axelrad, Yung Mei Leong, D. E. Becker, Kathryn B. Laskey, Paul J. Sticha
Developing an Ontology for Individual and Organizational Sociotechnical Indicators of Insider Threat Risk. STIDS (2016)
Erik Blasch, Paulo C. G. Costa, Johan Pieter de Villiers, Kathryn B. Laskey, James Llinas, Anne-Laure Jousselme
Pragmatic data fusion uncertainty concerns: Tribute to Dave L. Hall. FUSION (2016)
Johan Pieter de Villiers, Kathryn B. Laskey, Anne-Laure Jousselme, Erik Blasch, Alta de Waal, Gregor Pavlin, Paulo Cesar G. da Costa
Uncertainty representation, quantification and evaluation for data and information fusion. FUSION (2015)
Laécio L. Santos, Rommel N. Carvalho, Marcelo Ladeira, Li Weigang, Kathryn B. Laskey, Paulo C. G. Costa
Scalable uncertainty treatment using triplestores and the OWL 2 RL profile. FUSION (2015)
Kenneth C. Olson, Kathryn B. Laskey, Charles Twardy
Interval Elicitation of Forecasts in a Prediction Market Reveals Lack of Anchoring "Bias". CoRR (2014)
James Jones, Kathryn B. Laskey
Using Bayesian Attack Detection Models to Drive Cyber Deception. BMA@UAI (2014)
Wei Sun, Robin Hanson, Kathryn B. Laskey, Charles Twardy
Trade-Based Asset Models for Combinatorial Prediction Markets. BMA@UAI (2014)
Johan Pieter de Villiers, Gregor Pavlin, Paulo Cesar G. da Costa, Kathryn B. Laskey, Anne-Laure Jousselme
A URREF interpretation of Bayesian network information fusion. FUSION (2014)
Wei Sun, Kathryn B. Laskey, Charles Twardy, Robin Hanson, Brandon Goldfedder
Trade-based Asset Model using Dynamic Junction Tree for Combinatorial Prediction Markets. CoRR (2014)
Setareh Rafatirad, Kathryn B. Laskey, Paulo Cesar G. da Costa
Context Correlation Using Probabilistic Semantics. STIDS (2013)
Setareh Rafatirad, Kathryn B. Laskey
Transforming Personal Artifacts into Probabilistic Narratives. UAI Application Workshops (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)
Erik Blasch, Kathryn B. Laskey, Anne-Laure Jousselme, Valentina Dragos, Paulo Cesar G. da Costa, Jean Dezert
URREF reliability versus credibility in information fusion (STANAG 2511). FUSION (2013)
Richard Haberlin, Paulo Cesar G. da Costa, Kathryn B. Laskey
A Reference Architecture for Probabilistic Ontology Development. STIDS (2013)
Walter A. Powell, Robin Hanson, Kathryn B. Laskey, Charles Twardy
Combinatorial Prediction Markets: An Experimental Study. SUM (2013)
Kathryn B. Laskey, Henri Prade
Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (1999) CoRR (2013)
Setareh Rafatirad, Ramesh C. Jain, Kathryn B. Laskey
Context-Based Event Ontology Extension in Multimedia Applications. ICSC (2013)
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa
PR-OWL 2.0 - Bridging the Gap to OWL Semantics. URSW (LNCS Vol.) (2013)
Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey
Relevant Subsequence Detection with Sparse Dictionary Learning. ECML/PKDD (1) (2013)
Wei Sun, Robin Hanson, Kathryn B. Laskey, Charles Twardy
Learning Parameters by Prediction Markets and Kelly Rule for Graphical Models. UAI Application Workshops (2013)
Wei Sun, Robin Hanson, Kathryn B. Laskey, Charles Twardy
Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets. UAI (2012)
Erik Blasch, Paulo Cesar G. da Costa, Kathryn B. Laskey, Haibin Ling, Genshe Chen
The URREF Ontology for Semantic Wide Area Motion Imagery Exploitation. STIDS (2012)
Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey
Feature Enriched Nonparametric Bayesian Co-clustering. PAKDD (1) (2012)
Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey
A Family of Feed-Forward Models for Protein Sequence Classification. ECML/PKDD (2) (2012)
Samuel J. Blasiak, Huzefa Rangwala, Kathryn B. Laskey
Beam Methods for the Profile Hidden Markov Model. SDM (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)
Kathryn B. Laskey, Richard Haberlin, Rommel N. Carvalho, Paulo Cesar G. da Costa
PR-OWL 2 Case Study: A Maritime Domain Probabilistic Ontology. STIDS (2011)
Rommel N. Carvalho, Richard Haberlin, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang
Modeling a probabilistic ontology for Maritime Domain Awareness. FUSION (2011)
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, Michael I. Jordan
Nonparametric Bayesian Co-clustering Ensembles. SDM (2011)
Paulo Cesar G. da Costa, Rommel N. Carvalho, Kathryn B. Laskey, Cheol Young Park
Evaluating uncertainty representation and reasoning in HLF systems. FUSION (2011)
Wei Sun, Kuo-Chu Chang, Kathryn B. Laskey
Scalable inference for hybrid Bayesian networks with full density estimations. FUSION (2010)
Kathryn B. Laskey, Edward J. Wright, Paulo Cesar G. da Costa
Envisioning uncertainty in geospatial information. Int. J. Approx. Reason. 51 (2) (2010)
Rommel N. Carvalho, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang
PROGNOS: Predictive situational awareness with probabilistic ontologies. FUSION (2010)
Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Tod S. Levitt, Wei Sun
High-level fusion: Issues in developing a formal theory. FUSION (2010)
Judy Goldsmith, Kathryn B. Laskey
Introduction to the special issue on Bayesian model views. Int. J. Approx. Reason. 51 (2) (2010)
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa
PR-OWL 2.0 - Bridging the gap to OWL semantics. URSW (2010)
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)
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
Latent Dirichlet Bayesian Co-Clustering. ECML/PKDD (2) (2009)
Kathryn B. Laskey
Axiomatic First-Order Probability. URSW (2009)
Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Rommel N. Carvalho
A multi-disciplinary approach to high level fusion in predictive situational awareness. FUSION (2009)
Kenneth J. Laskey, Kathryn B. Laskey
Uncertainty Reasoning for the World Wide Web: Report on the URW3-XG Incubator Group. URSW (2008)
Kathryn B. Laskey, David A. Schum, Paulo C. G. Costa, Terry Janssen
Ontology of Evidence. OIC (2008)
Kathryn B. Laskey
MEBN: A language for first-order Bayesian knowledge bases. Artif. Intell. 172 (2-3) (2008)
Kathryn B. Laskey, Paulo Cesar G. da Costa, Terry Janssen
Probabilistic ontologies for knowledge fusion. FUSION (2008)
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)
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey
PR-OWL: A Bayesian Ontology Language for the Semantic Web. URSW (LNCS Vol.) (2008)
Kathryn B. Laskey, Ed Wright, Paulo Cesar G. da Costa
Envisioning Uncertainty in Geospatial Information. BMA (2007)
Kathryn B. Laskey, Paulo Cesar G. da Costa, Edward J. Wright, Kenneth J. Laskey
Probabilistic ontology for net-centric fusion. FUSION (2007)
Kathryn B. Laskey
Quantum Physical Symbol Systems. J. Log. Lang. Inf. 15 (1-2) (2006)
Kathryn B. Laskey, Ning Xu, Chun-Hung Chen
Propagation of Delays in the National Airspace System. UAI (2006)
Paulo Cesar G. da Costa, Kathryn B. Laskey
PR-OWL: A Framework for Probabilistic Ontologies. FOIS (2006)
Kenneth J. Laskey, Kathryn B. Laskey, Paulo Cesar G. da Costa
A Proposal for a W3C XG on Uncertainty Reasoning for the World Wide Web. URSW (2006)
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey
Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services. URSW (2006)
Edward J. Wright, Kathryn B. Laskey
Credibility Models for Multi-Source Fusion. FUSION (2006)
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey
PR-OWL: A Bayesian Ontology Language for the Semantic Web. ISWC-URSW (2005)
Francis Fung, Kathryn B. Laskey, Mike Pool, Masami Takikawa, Ed Wright
PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Kathryn B. Laskey, Paulo Cesar G. da Costa
Of Starships and Klingons: Bayesian Logic for the 23rd Century. UAI (2005)
Kathryn B. Laskey, James W. Myers
Population Markov Chain Monte Carlo. Mach. Learn. 50 (1-2) (2003)
Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright
Hypothesis Management in Situation-Specific Network Construction. UAI (2001)
Kathryn B. Laskey, Suzanne M. Mahoney
Network Engineering for Agile Belief Network Models. IEEE Trans. Knowl. Data Eng. 12 (4) (2000)
Laura Martignon, Gustavo Deco, Kathryn B. Laskey, Mathew E. Diamond, Winrich Freiwald, Eilon Vaadia
Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies. Neural Comput. 12 (11) (2000)
James W. Myers, Kathryn B. Laskey, Tod S. Levitt
Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms. UAI (1999)
Philip S. Barry, Kathryn B. Laskey
An Application of Uncertain Reasoning to Requirements Engineering. UAI (1999)
Suzanne M. Mahoney, Kathryn B. Laskey
Representing and Combining Partially Specified CPTs. UAI (1999)
Suzanne M. Mahoney, Kathryn B. Laskey
Constructing Situation Specific Belief Networks. UAI (1998)
Kathryn B. Laskey, Suzanne M. Mahoney
Network Fragments: Representing Knowledge for Constructing Probabilistic Models. UAI (1997)
Laura Martignon, Kathryn B. Laskey, Gustavo Deco, Eilon Vaadia
Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings. NIPS (1996)
Kathryn B. Laskey, Laura Martignon
Bayesian Learning of Loglinear Models for Neural Connectivity. UAI (1996)
Suzanne M. Mahoney, Kathryn B. Laskey
Network Engineering for Complex Belief Networks. UAI (1996)
Laura Martignon, Kathryn B. Laskey, Arne Schwarz, Eilon Vaadia
Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian Approach. ICANN (1996)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kathryn B. Laskey