Applications of the Dempster-Shafer theory of evidence for simulation. - Kathryn B. Laskey; Marvin S. Cohen (WSC, 1986)

Belief Maintenance: An Integrated Approach to Uncertainty Management. - Kathryn B. Laskey; Paul E. Lehner (AAAI, 1988)

Hierarchical evidence and belief functions. - Paul K. Black; Kathryn B. Laskey (UAI, 1988)

Assumptions, Beliefs and Probabilities. - Kathryn B. Laskey; Paul E. Lehner (Artif. Intell., 1989)

Representing and eliciting knowledge about uncertain evidence and its implications. - Kathryn B. Laskey; Marvin S. Cohen; Anne W. Martin (IEEE Trans. Syst. Man Cybern., 1989)

Adapting connectionist learning to Bayes networks. - Kathryn B. Laskey (Int. J. Approx. Reason., 1990)

Conflict and Surprise: Heuristics for Model Revision. - Kathryn B. Laskey (UAI, 1991)

Bayesian Meta-Reasoning: Determining Model Adequacy from within a Small World. - Kathryn B. Laskey (UAI, 1992)

The Bounded Bayesian. - Kathryn B. Laskey (UAI, 1992)

Bounded rationality and search over small-world models. - Kathryn B. Laskey (Int. J. Approx. Reason., 1994)

Metareasoning and the Problem of Small Worlds. - Kathryn Blackmond Laskey; Paul E. Lehner (IEEE Trans. Syst. Man Cybern. Syst., 1994)

Bayesian Strategies for Machine Learning: Rule Extraction and Concept Detection. - Laura Martignon; Kathryn Blackmond Laskey (SNN Symposium on Neural Networks, 1995)

Sensitivity analysis for probability assessments in Bayesian networks. - Kathryn Blackmond Laskey (IEEE Trans. Syst. Man Cybern., 1995)

Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian Approach. - Laura Martignon; Kathryn B. Laskey; Arne Schwarz; Eilon Vaadia (ICANN, 1996)

Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings. - Laura Martignon; Kathryn B. Laskey; Gustavo Deco; Eilon Vaadia (NIPS, 1996)

Bayesian Learning of Loglinear Models for Neural Connectivity. - Kathryn B. Laskey; Laura Martignon (UAI, 1996)

Network Engineering for Complex Belief Networks. - Suzanne M. Mahoney; Kathryn B. Laskey (UAI, 1996)

Model uncertainty: theory and practical implications. - Kathryn Blackmond Laskey (IEEE Trans. Syst. Man Cybern. Part A, 1996)

An introduction to issues in higher order uncertainty. - Paul E. Lehner; Kathryn Blackmond Laskey; Didier Dubois (IEEE Trans. Syst. Man Cybern. Part A, 1996)

Network Fragments: Representing Knowledge for Constructing Probabilistic Models. - Kathryn B. Laskey; Suzanne M. Mahoney (UAI, 1997)

Constructing Situation Specific Belief Networks. - Suzanne M. Mahoney; Kathryn B. Laskey (UAI, 1998)

Learning extensible multi-entity directed graphical models. - Kathryn Blackmond Laskey (AISTATS, 1999)

An Application of Uncertain Reasoning to Requirements Engineering. - Philip S. Barry; Kathryn B. Laskey (UAI, 1999)

Representing and Combining Partially Specified CPTs. - Suzanne M. Mahoney; Kathryn B. Laskey (UAI, 1999)

Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms. - James W. Myers; Kathryn B. Laskey; Tod S. Levitt (UAI, 1999)

Limited Rationality in Action: Decision Support for Military Situation Assessment. - Kathryn Blackmond Laskey; Bruce D'Ambrosio; Tod S. Levitt; Suzanne M. Mahoney (Minds Mach., 2000)

Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies. - Laura Martignon; Gustavo Deco; Kathryn B. Laskey; Mathew E. Diamond; Winrich Freiwald; Eilon Vaadia (Neural Comput., 2000)

Network Engineering for Agile Belief Network Models. - Kathryn B. Laskey; Suzanne M. Mahoney (IEEE Trans. Knowl. Data Eng., 2000)

Hypothesis Management in Situation-Specific Network Construction. - Kathryn B. Laskey; Suzanne M. Mahoney; Ed Wright (UAI, 2001)

Population Markov Chain Monte Carlo. - Kathryn B. Laskey; James W. Myers (Mach. Learn., 2003)

PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support. - Francis Fung; Kathryn B. Laskey; Mike Pool; Masami Takikawa; Ed Wright (AAAI Spring Symposium: Challenges to Decision Support in a Changing World, 2005)

PR-OWL: A Bayesian Ontology Language for the Semantic Web. - Paulo Cesar G. da Costa; Kathryn B. Laskey; Kenneth J. Laskey (ISWC-URSW, 2005)

Of Starships and Klingons: Bayesian Logic for the 23rd Century. - Kathryn B. Laskey; Paulo Cesar G. da Costa (UAI, 2005)

PR-OWL: A Framework for Probabilistic Ontologies. - Paulo Cesar G. da Costa; Kathryn B. Laskey (FOIS, 2006)

Credibility Models for Multi-Source Fusion. - Edward J. Wright; Kathryn B. Laskey (FUSION, 2006)

Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services. - Paulo Cesar G. da Costa; Kathryn B. Laskey; Kenneth J. Laskey (URSW, 2006)

A Proposal for a W3C XG on Uncertainty Reasoning for the World Wide Web. - Kenneth J. Laskey; Kathryn B. Laskey; Paulo Cesar G. da Costa (URSW, 2006)

Propagation of Delays in the National Airspace System. - Kathryn B. Laskey; Ning Xu; Chun-Hung Chen (UAI, 2006)

Quantum Physical Symbol Systems. - Kathryn B. Laskey (J. Log. Lang. Inf., 2006)

Quantum Causal Networks. - Kathryn Blackmond Laskey (AAAI Spring Symposium: Quantum Interaction, 2007)

Probabilistic ontology for net-centric fusion. - Kathryn B. Laskey; Paulo Cesar G. da Costa; Edward J. Wright; Kenneth J. Laskey (FUSION, 2007)

Probabilistic Ontologies for Multi-INT Fusion. - Kathryn Blackmond Laskey; Paulo C. G. Costa; Terry L. Janssen (OIC, 2007)

A First-Order Bayesian Tool for Probabilistic Ontologies. - Paulo Cesar G. da Costa; Marcelo Ladeira; Rommel N. Carvalho; Kathryn B. Laskey; Laécio L. Santos; Shou Matsumoto (FLAIRS, 2008)

Probabilistic ontologies for knowledge fusion. - Kathryn B. Laskey; Paulo Cesar G. da Costa; Terry Janssen (FUSION, 2008)

Ontology of Evidence. - Kathryn B. Laskey; David A. Schum; Paulo C. G. Costa; Terry Janssen (OIC, 2008)

Uncertainty Reasoning for the World Wide Web: Report on the URW3-XG Incubator Group. - Kenneth J. Laskey; Kathryn B. Laskey (URSW, 2008)

MEBN: A language for first-order Bayesian knowledge bases. - Kathryn B. Laskey (Artif. Intell., 2008)

A multi-disciplinary approach to high level fusion in predictive situational awareness. - Paulo Cesar G. da Costa; Kuo-Chu Chang; Kathryn B. Laskey; Rommel N. Carvalho (FUSION, 2009)

Latent Dirichlet Bayesian Co-Clustering. - Pu Wang 002; Carlotta Domeniconi; Kathryn B. Laskey (ECML/PKDD (2), 2009)

Axiomatic First-Order Probability. - Kathryn B. Laskey (URSW, 2009)

Uncertainty Representation and Reasoning in Complex Systems. - Kathryn B. Laskey; Paulo Cesar G. da Costa (Complex Systems in Knowledge-based Environments, 2009)

Compatibility Formalization Between PR-OWL and OWL. - Rommel N. Carvalho; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa (UniDL, 2010)

Scalable inference for hybrid Bayesian networks with full density estimations. - Wei Sun 009; Kuo-Chu Chang; Kathryn B. Laskey (FUSION, 2010)

PROGNOS: Predictive situational awareness with probabilistic ontologies. - Rommel N. Carvalho; Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2010)

High-level fusion: Issues in developing a formal theory. - Paulo Cesar G. da Costa; Kuo-Chu Chang; Kathryn B. Laskey; Tod S. Levitt; Wei Sun 009 (FUSION, 2010)

Nonparametric Bayesian Clustering Ensembles. - Pu Wang 002; Carlotta Domeniconi; Kathryn Blackmond Laskey (ECML/PKDD (3), 2010)

PR-OWL 2.0 - Bridging the gap to OWL semantics. - Rommel N. Carvalho; Kathryn B. Laskey; Paulo Cesar G. da Costa (URSW, 2010)

Introduction to the special issue on Bayesian model views. - Judy Goldsmith; Kathryn B. Laskey (Int. J. Approx. Reason., 2010)

Envisioning uncertainty in geospatial information. - Kathryn B. Laskey; Edward J. Wright; Paulo Cesar G. da Costa (Int. J. Approx. Reason., 2010)

Modeling a probabilistic ontology for Maritime Domain Awareness. - Rommel N. Carvalho; Richard Haberlin; Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2011)

Evaluating uncertainty representation and reasoning in HLF systems. - Paulo Cesar G. da Costa; Rommel N. Carvalho; Kathryn B. Laskey; Cheol Young Park (FUSION, 2011)

Nonparametric Bayesian Co-clustering Ensembles. - Pu Wang 002; Kathryn B. Laskey; Carlotta Domeniconi; Michael I. Jordan (SDM, 2011)

PR-OWL 2 Case Study: A Maritime Domain Probabilistic Ontology. - Kathryn B. Laskey; Richard Haberlin; Rommel N. Carvalho; Paulo Cesar G. da Costa (STIDS, 2011)

Towards unbiased evaluation of uncertainty reasoning: The URREF ontology. - Paulo Cesar G. da Costa; Kathryn Blackmond Laskey; Erik Blasch; Anne-Laure Jousselme (FUSION, 2012)

Feature Enriched Nonparametric Bayesian Co-clustering. - Pu Wang 002; Carlotta Domeniconi; Huzefa Rangwala; Kathryn B. Laskey (PAKDD (1), 2012)

A Family of Feed-Forward Models for Protein Sequence Classification. - Sam Blasiak; Huzefa Rangwala; Kathryn B. Laskey (ECML/PKDD (2), 2012)

Beam Methods for the Profile Hidden Markov Model. - Samuel J. Blasiak; Huzefa Rangwala; Kathryn B. Laskey (SDM, 2012)

The URREF Ontology for Semantic Wide Area Motion Imagery Exploitation. - Erik Blasch; Paulo Cesar G. da Costa; Kathryn B. Laskey; Haibin Ling; Genshe Chen (STIDS, 2012)

Study of MEBN Learning for Relational Model. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa; Shou Matsumoto (STIDS, 2012)

Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets. - Wei Sun 009; Robin Hanson; Kathryn B. Laskey; Charles Twardy (UAI, 2012)

High-Level Information Fusion with Bayesian Semantics. - Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang; Wei Sun 009; Cheol Young Park; Shou Matsumoto (BMA, 2012)

URREF reliability versus credibility in information fusion (STANAG 2511). - Erik Blasch; Kathryn B. Laskey; Anne-Laure Jousselme; Valentina Dragos; Paulo Cesar G. da Costa; Jean Dezert (FUSION, 2013)

Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa; Shou Matsumoto (FUSION, 2013)

Relevant Subsequence Detection with Sparse Dictionary Learning. - Sam Blasiak; Huzefa Rangwala; Kathryn B. Laskey (ECML/PKDD (1), 2013)

Context-Based Event Ontology Extension in Multimedia Applications. - Setareh Rafatirad; Ramesh C. Jain; Kathryn B. Laskey (ICSC, 2013)

Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. - Rommel N. Carvalho; Shou Matsumoto; Kathryn B. Laskey; Paulo Cesar G. da Costa; Marcelo Ladeira; Laécio L. Santos (URSW (LNCS Vol.), 2013)

A Reference Architecture for Probabilistic Ontology Development. - Richard Haberlin; Paulo Cesar G. da Costa; Kathryn B. Laskey (STIDS, 2013)

Context Correlation Using Probabilistic Semantics. - Setareh Rafatirad; Kathryn B. Laskey; Paulo Cesar G. da Costa (STIDS, 2013)

Combinatorial Prediction Markets: An Experimental Study. - Walter A. Powell; Robin Hanson; Kathryn B. Laskey; Charles Twardy (SUM, 2013)

Transforming Personal Artifacts into Probabilistic Narratives. - Setareh Rafatirad; Kathryn B. Laskey (UAI Application Workshops, 2013)

Learning Parameters by Prediction Markets and Kelly Rule for Graphical Models. - Wei Sun 009; Robin Hanson; Kathryn B. Laskey; Charles Twardy (UAI Application Workshops, 2013)

A Probabilistic Reasoning Environment - Kathryn Blackmond Laskey (CoRR, 2013)

Belief in Belief Functions: An Examination of Shafer's Canonical Examples - Kathryn Blackmond Laskey (CoRR, 2013)

An Application of Non-Monotonic Probabilistic Reasoning to Air Force Threat Correlation - Kathryn Blackmond Laskey; Marvin S. Cohen (CoRR, 2013)

Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (1999) - Kathryn B. Laskey; Henri Prade (CoRR, 2013)

Predictive situation awareness reference model using Multi-Entity Bayesian Networks. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (FUSION, 2014)

A URREF interpretation of Bayesian network information fusion. - Johan Pieter de Villiers; Gregor Pavlin; Paulo Cesar G. da Costa; Kathryn B. Laskey; Anne-Laure Jousselme (FUSION, 2014)

Trade-Based Asset Models for Combinatorial Prediction Markets. - Wei Sun 009; Robin Hanson; Kathryn B. Laskey; Charles Twardy (BMA@UAI, 2014)

Using Bayesian Attack Detection Models to Drive Cyber Deception. - James Jones; Kathryn B. Laskey (BMA@UAI, 2014)

Trade-based Asset Model using Dynamic Junction Tree for Combinatorial Prediction Markets. - Wei Sun 009; Kathryn B. Laskey; Charles Twardy; Robin Hanson; Brandon Goldfedder (CoRR, 2014)

Interval Elicitation of Forecasts in a Prediction Market Reveals Lack of Anchoring "Bias". - Kenneth C. Olson; Kathryn B. Laskey; Charles Twardy (CoRR, 2014)

Combinatorial prediction markets for fusing information from distributed experts and models. - Kathryn Blackmond Laskey; Robin Hanson; Charles Twardy (FUSION, 2015)

Scalable uncertainty treatment using triplestores and the OWL 2 RL profile. - Laécio L. Santos; Rommel N. Carvalho; Marcelo Ladeira; Li Weigang 001; Kathryn B. Laskey; Paulo C. G. Costa (FUSION, 2015)

Uncertainty representation, quantification and evaluation for data and information fusion. - Johan Pieter de Villiers; Kathryn B. Laskey; Anne-Laure Jousselme; Erik Blasch; Alta de Waal; Gregor Pavlin; Paulo Cesar G. da Costa (FUSION, 2015)

Message passing for Hybrid Bayesian Networks using Gaussian mixture reduction. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (ICDIM, 2015)

A Probabilistic Ontology for Large-Scale IP Geolocation. - Kathryn Blackmond Laskey; Sudhanshu Chandekar; Bernd-Peter Paris (STIDS, 2015)

Pragmatic data fusion uncertainty concerns: Tribute to Dave L. Hall. - Erik Blasch; Paulo C. G. Costa; Johan Pieter de Villiers; Kathryn B. Laskey; James Llinas; Anne-Laure Jousselme (FUSION, 2016)

A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (FUSION, 2016)

Uncertainty evaluation of data and information fusion within the context of the decision loop. - Johan Pieter de Villiers; Anne-Laure Jousselme; Alta de Waal; Gregor Pavlin; Kathryn B. Laskey; Erik Blasch; Paulo C. G. Costa (FUSION, 2016)

Probabilistic Argument Maps for Intelligence Analysis: Completed Capabilities. - Robert Schrag; Joan McIntyre; Melonie Richey; Kathryn B. Laskey; Edward Wright; Robert Kerr; Robert Johnson; Bryan Ware; Robert Hoffman (CMNA@IJCAI, 2016)

Probabilistic Argument Maps for Intelligence Analysis: Capabilities Underway. - Robert Schrag; Edward Wright; Robert Kerr; Robert Johnson; Bryan Ware; Joan McIntyre; Melonie Richey; Kathryn B. Laskey; Robert Hoffman (CMNA@IJCAI, 2016)

Developing an Ontology for Individual and Organizational Sociotechnical Indicators of Insider Threat Risk. - Frank L. Greitzer; Muhammad Imran 019; Justin Purl; Elise T. Axelrad; Yung Mei Leong; D. E. Becker; Kathryn B. Laskey; Paul J. Sticha (STIDS, 2016)

PR-OWL Decision: Toward Reusable Ontology Language for Decision Making under Uncertainty. - Shou Matsumoto; Kathryn B. Laskey; Paulo C. G. Costa (STIDS, 2016)

An Extended Maritime Domain Awareness Probabilistic Ontology Derived from Human-aided Multi-Entity Bayesian Networks Learning. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa (STIDS, 2016)

Uncertainty modeling process for semantic technology. - Rommel N. Carvalho; Kathryn B. Laskey; Paulo Cesar G. da Costa (PeerJ Prepr., 2016)

Predictive situation awareness model for smart manufacturing. - Cheol Young Park; Kathryn Blackmond Laskey; Shelly Salim; Joong Yoon Lee (FUSION, 2017)

Evaluation metrics for the practical application of URREF ontology: An illustration on data criteria. - Johan Pieter de Villiers; Richard W. Focke; Gregor Pavlin; Anne-Laure Jousselme; Valentina Dragos; Kathryn Blackmond Laskey; Paulo C. G. Costa; Erik Blasch (FUSION, 2017)

Subjects under evaluation with the URREF ontology. - Johan Pieter de Villiers; Gregor Pavlin; Paulo C. G. Costa; Anne-Laure Jousselme; Kathryn Blackmond Laskey; Valentina Dragos; Erik Blasch (FUSION, 2017)

PR-OWL - a language for defining probabilistic ontologies. - Rommel N. Carvalho; Kathryn B. Laskey; Paulo C. G. Costa (Int. J. Approx. Reason., 2017)

A non-parametric Approach to simulate Panel Data. - Bahram Yousefi; Mohanad Ajina; Muhammad Imran 019; Kathryn B. Laskey (WSC, 2018)

Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks. - Cheol Young Park; Kathryn Blackmond Laskey; Paulo C. G. Costa; Shou Matsumoto (CoRR, 2018)

Human-aided Multi-Entity Bayesian Networks Learning from Relational Data. - Cheol Young Park; Kathryn Blackmond Laskey (CoRR, 2018)

MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model. - Cheol Young Park; Kathryn Blackmond Laskey (CoRR, 2018)

Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness. - Cheol Young Park; Kathryn Blackmond Laskey (CoRR, 2018)

A Theory of Physically Embodied and Causally Effective Agency. - Kathryn Blackmond Laskey (Inf., 2018)

Graphical Model Market Maker for Combinatorial Prediction Markets. - Kathryn Blackmond Laskey; Wei Sun 009; Robin Hanson; Charles Twardy; Shou Matsumoto; Brandon Goldfedder (J. Artif. Intell. Res., 2018)

Inference enterprise models: An approach to organizational performance improvement. - Dennis M. Buede; Elise T. Axelrad; David P. Brown; Daniel W. Hudson; Kathryn B. Laskey; Paul J. Sticha; Jordan L. Thomas (WIREs Data Mining Knowl. Discov., 2018)

Secure Method for De-Identifying and Anonymizing Large Panel Datasets. - Mohanad Ajina; Bahram Yousefi; Jim Jones; Kathryn B. Laskey (FUSION, 2019)

Online Learning Techniques for Space Situational Awareness (Poster). - Ashton E. Harvey; Kathryn B. Laskey (FUSION, 2019)

Online System Evaluation and Learning of Data Source Models: a Probabilistic Generative Approach. - Gregor Pavlin; Anne-Laure Jousselme; Johan Pieter de Villiers; Paulo C. G. Costa; Kathryn B. Laskey; Franck Mignet; Alta de Waal (FUSION, 2019)

Assessing the Performance of Panel Data Synthesis Approach. - James D. Lee; Wanru Li; Shou Matsumoto; Mohanad Ajina; Bahram Yousefi; Kathryn B. Laskey (SysCon, 2019)

Towards Automating Design and Development of Inference Enterprise Models. - James D. Lee; Shou Matsumoto; Abbas K. Zaidi; Kathryn B. Laskey (SysCon, 2019)

Statistical literacy for classification under risk: an educational perspective. - Laura Martignon; Kathryn B. Laskey (AStA Wirtschafts und Sozialstatistisches Arch., 2019)

Using AI to Identify Optimal Drilling Locations for Sustainable Irrigation for Subsistence Agriculture. - Wanru Li; Kathryn B. Laskey; Mekuanent Muluneh; Rupert Douglas-Bate; Hemant Purohit; Paul Houser (AI4SG@AAAI Fall Symposium, 2020)

Experimental Investigation of Demographic Factors Related to Phishing Susceptibility. - Wanru Li; James D. Lee; Justin Purl; Frank L. Greitzer; Bahram Yousefi; Kathryn B. Laskey (HICSS, 2020)

Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization. - Mack Sweeney; Matthew van Adelsberg; Kathryn B. Laskey; Carlotta Domeniconi (ICDM, 2020)

Design patterns for modeling first-order expressive Bayesian networks. - Mark Locher; Kathryn B. Laskey; Paulo C. G. Costa (Knowl. Eng. Rev., 2020)

Use of the URREF towards Information Fusion Accountability Evaluation. - Erik Philip Blasch; Johan Pieter de Villiers; Gregor Pavin; Anne-Laure Jousselme; Paulo C. G. Costa; Kathryn B. Laskey; Jurgen Ziegler 003 (FUSION, 2021)

Bridging Heuristic and Deep Learning Approaches to Sensor Tasking. - Ashton E. Harvey; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2021)

Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems. - Gregor Pavlin; Johan Pieter de Villiers; Jürgen Ziegler 003; Anne-Laure Jousselme; Paulo C. G. Costa; Kathryn B. Laskey; Alta de Waal; Erik Blasch; Lennard Jansen (FUSION, 2021)

Uncertainty Evaluation of Temporal Trust in a Fusion System Using the URREF Ontology. - Johan Pieter de Villiers; Gregor Pavlin; Jürgen Ziegler 003; Anne-Laure Jousselme; Paulo C. G. Costa; Eric Blasch; Kathryn B. Laskey; Claire Laudy; Alta de Waal; Jin-Hee Cho (FUSION, 2021)

Experimental Investigation of Technical and Human Factors Related to Phishing Susceptibility. - Frank L. Greitzer; Wanru Li; Kathryn B. Laskey; James D. Lee; Justin Purl (ACM Trans. Soc. Comput., 2021)

Hypergraph Simultaneous Generators. - Bahman Pedrood; Carlotta Domeniconi; Kathryn B. Laskey (AISTATS, 2022)

Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach. - Gregor Pavlin; Johan Pieter de Villiers; Kathryn B. Laskey; Franck Mignet; Lennard Jansen (FUSION, 2022)

URREF Risk analysis towards Data Fusion Certification. - Erik Blasch; Anne-Laure Jousselme; Kathryn B. Laskey; Paulo C. G. Costa; Johan Pieter de Villiers; Gregor Pavlin; Claire Laudy (FUSION, 2023)

Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models. - 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 (FUSION, 2023)

Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions. - Gregor Pavlin; Kathryn B. Laskey; Franck Mignet; Filip S. Slijkhuis; Erik Blasch; Valentina Dragos; Johan Pieter de Villiers; Lennard Jansen (FUSION, 2023)

Towards Personalized Anti-Phishing: Counterfactual Explanation Approach - Extended Abstract. - Zhengyang Fan; Wanru Li; Kathryn Blackmond Laskey; Kuo-Chu Chang (DSAA, 2024)

A Qualitative Causal Approach to Determining Adequate Training Data Quantity for Machine Learning. - Franck Mignet; Filip S. Slijkhuis; A. Abouhafc; Gregor Pavlin; Kathryn B. Laskey (FUSION, 2024)

Investigation of Phishing Susceptibility with Explainable Artificial Intelligence. - Zhengyang Fan; Wanru Li; Kathryn Blackmond Laskey; Kuo-Chu Chang (Future Internet, 2024)

Honeytrap Resilience: A Study of Malware Redirection Awareness. - Eric Edge; James H. Jones; Kathryn B. Laskey (ISDFS, 2025)