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Kathryn B. Laskey
Kathryn Blackmond Laskey
2010 – today
- 2013
[c57]Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey: Relevant Subsequence Detection with Sparse Dictionary Learning. ECML/PKDD (1) 2013: 401-416
[c56]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: 1-18
[c55]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: 19-40
[c54]Walter A. Powell, Robin Hanson, Kathryn B. Laskey, Charles Twardy: Combinatorial Prediction Markets: An Experimental Study. SUM 2013: 283-296
[e14]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool (Eds.): Uncertainty Reasoning for the Semantic Web II, International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers. Lecture Notes in Computer Science 7123, Springer 2013, ISBN 978-3-642-35974-3
[i19]Kathryn Blackmond Laskey, Suzanne M. Mahoney, Ed Wright: Hypothesis Management in Situation-Specific Network Construction. CoRR abs/1301.2287 (2013)
[i18]Philip S. Barry, Kathryn Blackmond Laskey: An Application of Uncertain Reasoning to Requirements Engineering. CoRR abs/1301.6678 (2013)
[i17]Suzanne M. Mahoney, Kathryn Blackmond Laskey: Representing and Combining Partially Specified CPTs. CoRR abs/1301.6717 (2013)
[i16]James W. Myers, Kathryn Blackmond Laskey, Tod S. Levitt: Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms. CoRR abs/1301.6726 (2013)
[i15]Suzanne M. Mahoney, Kathryn Blackmond Laskey: Constructing Situation Specific Belief Networks. CoRR abs/1301.7399 (2013)
[i14]Kathryn Blackmond Laskey, Suzanne M. Mahoney: Network Fragments: Representing Knowledge for Constructing Probabilistic Models. CoRR abs/1302.1557 (2013)
[i13]Kathryn Blackmond Laskey, Laura Martignon: Bayesian Learning of Loglinear Models for Neural Connectivity. CoRR abs/1302.3590 (2013)
[i12]Suzanne M. Mahoney, Kathryn Blackmond Laskey: Network Engineering for Complex Belief Networks. CoRR abs/1302.3591 (2013)
[i11]Kathryn Blackmond Laskey: Sensitivity Analysis for Probability Assessments in Bayesian Networks. CoRR abs/1303.1470 (2013)
[i10]Kathryn Blackmond Laskey: Bayesian Meta-Reasoning: Determining Model Adequacy from Within a Small World. CoRR abs/1303.5412 (2013)
[i9]
[i8]Kathryn Blackmond Laskey: Conflict and Surprise: Heuristics for Model Revision. CoRR abs/1303.5728 (2013)
[i7]
[i6]Paul K. Black, Kathryn Blackmond Laskey: Hierarchical Evidence and Belief Functions. CoRR abs/1304.2342 (2013)
[i5]Kathryn Blackmond Laskey: Belief in Belief Functions: An Examination of Shafer's Canonical Examples. CoRR abs/1304.2715 (2013)
[i4]Kathryn Blackmond Laskey, Marvin S. Cohen: An Application of Non-Monotonic Probabilistic Reasoning to Air Force Threat Correlation. CoRR abs/1304.3096 (2013)
[i3]Kathryn B. Laskey, Henri Prade: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (1999). CoRR abs/1304.3843 (2013)- 2012
[c53]Paulo Cesar G. da Costa, Kathryn Blackmond Laskey, Erik Blasch, Anne-Laure Jousselme: Towards unbiased evaluation of uncertainty reasoning: The URREF ontology. FUSION 2012: 2301-2308
[c52]Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey: Feature Enriched Nonparametric Bayesian Co-clustering. PAKDD (1) 2012: 517-529
[c51]Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey: A Family of Feed-Forward Models for Protein Sequence Classification. ECML/PKDD (2) 2012: 419-434
[c50]Samuel J. Blasiak, Huzefa Rangwala, Kathryn B. Laskey: Beam Methods for the Profile Hidden Markov Model. SDM 2012: 331-342
[c49]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: 88-95
[c48]Cheol Young Park, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa, Shou Matsumoto: Study of MEBN Learning for Relational Model. STIDS 2012: 121-124
[c47]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
[c46]Wei Sun, Robin Hanson, Kathryn B. Laskey, Charles Twardy: Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets. UAI 2012: 815-824
[e13]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool (Eds.): Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, Boston, USA, November 11, 2012. CEUR Workshop Proceedings 900, CEUR-WS.org 2012
[e12]Paulo Cesar G. da Costa, Kathryn B. Laskey (Eds.): Proceedings of the Seventh International Conference on Semantic Technologies for Intelligence, Defense, and Security, Fairfax, VA, USA, October 23-26, 2012. CEUR Workshop Proceedings 966, CEUR-WS.org 2012
[i2]Kathryn Blackmond Laskey, Paulo Cesar G. da Costa: Of Starships and Klingons: Bayesian Logic for the 23rd Century. CoRR abs/1207.1354 (2012)
[i1]Wei Sun, Robin Hanson, Kathryn Blackmond Laskey, Charles Twardy: Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets. CoRR abs/1210.4900 (2012)- 2011
[c45]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: 1-8
[c44]Paulo Cesar G. da Costa, Rommel N. Carvalho, Kathryn B. Laskey, Cheol Young Park: Evaluating uncertainty representation and reasoning in HLF systems. FUSION 2011: 1-8
[c43]Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, Michael Jordan: Nonparametric Bayesian Co-clustering Ensembles. SDM 2011: 331-342
[c42]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: 76-83
[e11]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles (Eds.): Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), Bonn, Germany, October 23, 2011. CEUR Workshop Proceedings 778, CEUR-WS.org 2011
[e10]Paulo Cesar G. da Costa, Kathryn B. Laskey (Eds.): Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, Defense, and Security, Fairfax, VA, USA, November 16-17, 2011. CEUR Workshop Proceedings 808, CEUR-WS.org 2011- 2010
[j14]Judy Goldsmith, Kathryn B. Laskey: Introduction to the special issue on Bayesian model views. Int. J. Approx. Reasoning 51(2): 165-166 (2010)
[j13]Kathryn B. Laskey, Edward J. Wright, Paulo Cesar G. da Costa: Envisioning uncertainty in geospatial information. Int. J. Approx. Reasoning 51(2): 209-223 (2010)
[c41]Rommel N. Carvalho, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa: Compatibility Formalization Between PR-OWL and OWL. UniDL 2010
[c40]Wei Sun, Kuo-Chu Chang, Kathryn B. Laskey: Scalable inference for hybrid Bayesian networks with full density estimations. FUSION 2010: 1-8
[c39]Rommel N. Carvalho, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang: PROGNOS: Predictive situational awareness with probabilistic ontologies. FUSION 2010: 1-8
[c38]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: 1-8
[c37]Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey: Nonparametric Bayesian Clustering Ensembles. ECML/PKDD (3) 2010: 435-450
[c36]Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa: PR-OWL 2.0 - Bridging the gap to OWL semantics. URSW 2010: 73-84
[e9]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool (Eds.): Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010. CEUR Workshop Proceedings 654, CEUR-WS.org 2010
[e8]Paulo Cesar G. da Costa, Kathryn B. Laskey (Eds.): Proceedings of the Fifth International Conference on Semantic Technologies for Intelligence, Defense, and Security, Fairfax, VA, USA, October 27-28, 2010. CEUR Workshop Proceedings 713, CEUR-WS.org 2010
2000 – 2009
- 2009
[c35]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: 248-255
[c34]Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey: Latent Dirichlet Bayesian Co-Clustering. ECML/PKDD (2) 2009: 522-537
[c33]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
[c32]
[p1]Kathryn B. Laskey, Paulo Cesar G. da Costa: Uncertainty Representation and Reasoning in Complex Systems. Complex Systems in Knowledge-based Environments 2009: 7-40
[e7]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool, Pavel Smrz (Eds.): Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009. CEUR Workshop Proceedings 527, CEUR-WS.org 2009- 2008
[j12]Kathryn B. Laskey: MEBN: A language for first-order Bayesian knowledge bases. Artif. Intell. 172(2-3): 140-178 (2008)
[c31]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: 631-636
[c30]Kathryn B. Laskey, Paulo Cesar G. da Costa, Terry Janssen: Probabilistic ontologies for knowledge fusion. FUSION 2008: 1-8
[c29]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: 88-107
[c28]Kenneth J. Laskey, Kathryn B. Laskey: Uncertainty Reasoning for the World Wide Web: Report on the URW3-XG Incubator Group. URSW 2008
[e6]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Pavel Smrz (Eds.): Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany, October 26, 2008. CEUR Workshop Proceedings 423, CEUR-WS.org 2008
[e5]Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool (Eds.): Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers. Lecture Notes in Computer Science 5327, Springer 2008, ISBN 978-3-540-89764-4- 2007
[c27]Kathryn Blackmond Laskey: Quantum Causal Networks. AAAI Spring Symposium: Quantum Interaction 2007: 142-149
[c26]Kathryn B. Laskey, Paulo Cesar G. da Costa, Edward J. Wright, Kenneth J. Laskey: Probabilistic ontology for net-centric fusion. FUSION 2007: 1-8
[c25]Kathryn B. Laskey, Ed Wright, Paulo Cesar G. da Costa: Envisioning Uncertainty in Geospatial Information. BMA 2007
[e4]Kathryn B. Laskey, Suzanne M. Mahoney, Judy Goldsmith (Eds.): Proceedings of the Fifth UAI Bayesian Modeling Applications Workshop (UAI-AW 2007), Vancouver, British Columbia, Canada, July 19, 2007. CEUR Workshop Proceedings 268, CEUR-WS.org 2007- 2006
[j11]Kathryn B. Laskey: Quantum Physical Symbol Systems. Journal of Logic, Language and Information 15(1-2): 109-154 (2006)
[c24]Paulo Cesar G. da Costa, Kathryn B. Laskey: PR-OWL: A Framework for Probabilistic Ontologies. FOIS 2006: 237-249
[c23]
[c22]Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey: Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services. URSW 2006
[c21]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
[c20]Kathryn B. Laskey, Ning Xu, Chun-Hung Chen: Propagation of Delays in the National Airspace System. UAI 2006
[e3]Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey, Francis Fung, Michael Pool (Eds.): Proceedings of the Second ISWC Workshop on Uncertainty Reasoning for the Semantic Web, Athens, Georgia, USA, November 5, 2006. CEUR Workshop Proceedings 218, CEUR-WS.org 2006- 2005
[c19]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: 32-39
[c18]Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey: PR-OWL: A Bayesian Ontology Language for the Semantic Web. ISWC-URSW 2005: 23-33
[c17]Kathryn B. Laskey, Paulo Cesar G. da Costa: Of Starships and Klingons: Bayesian Logic for the 23rd Century. UAI 2005: 346-353
[e2]Paulo Cesar G. da Costa, Kathryn B. Laskey, Kenneth J. Laskey, Michael Pool (Eds.): International Semantic Web Conference, ISWC 2005, Galway, Ireland, Workshop 3: Uncertainty Reasoning for the Semantic Web, 7 November 2005. 2005- 2003
[j10]Kathryn B. Laskey, James W. Myers: Population Markov Chain Monte Carlo. Machine Learning 50(1-2): 175-196 (2003)- 2001
[c16]Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright: Hypothesis Management in Situation-Specific Network Construction. UAI 2001: 301-309- 2000
[j9]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 Computation 12(11): 2621-2653 (2000)
[j8]Kathryn B. Laskey, Suzanne M. Mahoney: Network Engineering for Agile Belief Network Models. IEEE Trans. Knowl. Data Eng. 12(4): 487-498 (2000)
1990 – 1999
- 1999
[c15]Philip S. Barry, Kathryn B. Laskey: An Application of Uncertain Reasoning to Requirements Engineering. UAI 1999: 41-48
[c14]Suzanne M. Mahoney, Kathryn B. Laskey: Representing and Combining Partially Specified CPTs. UAI 1999: 391-400
[c13]James W. Myers, Kathryn B. Laskey, Tod S. Levitt: Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms. UAI 1999: 476-485
[e1]Kathryn B. Laskey, Henri Prade (Eds.): UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30 - August 1, 1999. Morgan Kaufmann 1999, ISBN 1-55860-614-9- 1998
[c12]Suzanne M. Mahoney, Kathryn B. Laskey: Constructing Situation Specific Belief Networks. UAI 1998: 370-37- 1997
[c11]Kathryn B. Laskey, Suzanne M. Mahoney: Network Fragments: Representing Knowledge for Constructing Probabilistic Models. UAI 1997: 334-341- 1996
[j7]Paul E. Lehner, Kathryn Blackmond Laskey, Didier Dubois: An introduction to issues in higher order uncertainty. IEEE Transactions on Systems, Man, and Cybernetics, Part A 26(3): 289-293 (1996)
[j6]Kathryn Blackmond Laskey: Model uncertainty: theory and practical implications. IEEE Transactions on Systems, Man, and Cybernetics, Part A 26(3): 340-348 (1996)
[c10]Laura Martignon, Kathryn B. Laskey, Arne Schwarz, Eilon Vaadia: Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian Approach. ICANN 1996: 401-407
[c9]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: 76-82
[c8]Kathryn B. Laskey, Laura Martignon: Bayesian Learning of Loglinear Models for Neural Connectivity. UAI 1996: 373-380
[c7]Suzanne M. Mahoney, Kathryn B. Laskey: Network Engineering for Complex Belief Networks. UAI 1996: 389-396- 1995
[j5]Kathryn Blackmond Laskey: Sensitivity analysis for probability assessments in Bayesian networks. IEEE Transactions on Systems, Man, and Cybernetics 25(6): 901-909 (1995)- 1994
[j4]Kathryn B. Laskey: Bounded rationality and search over small-world models. Int. J. Approx. Reasoning 11(4): 361-384 (1994)- 1993
[c6]Kathryn B. Laskey: Sensitivity Analysis for Probability Assessments in Bayesian Networks. UAI 1993: 136-142- 1992
[c5]Kathryn B. Laskey: Bayesian Meta-Reasoning: Determining Model Adequacy from within a Small World. UAI 1992: 155-158
[c4]- 1991
[c3]- 1990
[j3]Kathryn B. Laskey: Adapting connectionist learning to Bayes networks. Int. J. Approx. Reasoning 4(4): 261-282 (1990)
1980 – 1989
- 1989
[j2]Kathryn B. Laskey, Paul E. Lehner: Assumptions, Beliefs and Probabilities. Artif. Intell. 41(1): 65-77 (1989)
[j1]Kathryn B. Laskey, Marvin S. Cohen, Anne W. Martin: Representing and eliciting knowledge about uncertain evidence and its implications. IEEE Transactions on Systems, Man, and Cybernetics 19(3): 536-545 (1989)- 1988
[c2]Kathryn B. Laskey, Paul E. Lehner: Belief Maintenance: An Integrated Approach to Uncertainty Management. AAAI 1988: 210-214
[c1]
Coauthor Index
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last updated on 2013-10-02 11:03 CEST by the dblp team



