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2020 – today
- 2021
[j13]Yang Li
, Lloyd Allison, Kevin B. Korb:
The difficulty of being moral. Theor. Comput. Sci. 885: 77-90 (2021)- [i10]Yang Li, Kevin B. Korb, Lloyd Allison:
Markov Blanket Discovery using Minimum Message Length. CoRR abs/2107.08140 (2021) - [i9]Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison:
Causal KL: Evaluating Causal Discovery. CoRR abs/2111.06029 (2021) - 2020
- [i8]Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR abs/2003.01207 (2020)
2010 – 2019
- 2019
- [i7]Yang Li, Kevin B. Korb, Lloyd Allison:
The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality. CoRR abs/1903.01707 (2019) - [i6]Yang Li, Lloyd Allison, Kevin B. Korb:
Proving the NP-completeness of optimal moral graph triangulation. CoRR abs/1903.02201 (2019) - 2018
- [j12]Ken I. McAnally, Catherine E. Davey, Daniel White, Murray Stimson, Steven Mascaro, Kevin B. Korb:
Inference in the Wild: A Framework for Human Situation Assessment and a Case Study of Air Combat. Cogn. Sci. 42(7): 2181-2204 (2018) - 2017
- [c44]Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro:
Applying Dependency Patterns in Causal Discovery of Latent Variable Models. ACALCI 2017: 134-143 - [c43]Md. Samiullah, Thao Xuan Hoang, David W. Albrecht, Ann E. Nicholson, Kevin B. Korb:
iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance. ICTAI 2017: 1218-1225 - [r3]Kevin B. Korb:
Learning Graphical Models. Encyclopedia of Machine Learning and Data Mining 2017: 715-723 - 2016
- [c42]Kevin B. Korb, Lachlan Brumley, Carlo Kopp:
An empirical study of the co-evolution of utility and predictive ability. CEC 2016: 703-710 - [i5]Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro:
Latent Variable Discovery Using Dependency Patterns. CoRR abs/1607.06617 (2016) - 2015
- [c41]Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb:
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling. CAEPIA 2015: 175-184 - [c40]Tim Taylor, Alan Dorin, Kevin B. Korb:
Omnigram Explorer: A Simple Interactive Tool for the Initial Exploration of Complex Systems. ECAL 2015: 381-388 - [i4]Tim Taylor, Alan Dorin, Kevin B. Korb:
Digital Genesis: Computers, Evolution and Artificial Life. CoRR abs/1512.02100 (2015) - 2014
- [j11]Steven Mascaro, Ann E. Nicholson, Kevin B. Korb:
Anomaly detection in vessel tracks using Bayesian networks. Int. J. Approx. Reason. 55(1): 84-98 (2014) - [c39]Alex Black, Kevin B. Korb, Ann E. Nicholson:
Intrinsic Learning of Dynamic Bayesian Networks. PRICAI 2014: 256-269 - 2013
- [j10]Nicholas Geard, James M. McCaw, Alan Dorin, Kevin B. Korb, Jodie McVernon:
Synthetic Population Dynamics: A Model of Household Demography. J. Artif. Soc. Soc. Simul. 16(1) (2013) - [p4]Kevin B. Korb, Nicholas Geard, Alan Dorin:
A Bayesian Approach to the Validation of Agent-Based Models. Ontology, Epistemology, and Teleology for Modeling and Simulation 2013: 255-269 - [i3]Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah:
Bayesian Poker. CoRR abs/1301.6711 (2013) - [i2]Julian R. Neil, Chris S. Wallace, Kevin B. Korb:
Learning Bayesian Networks with Restricted Causal Interactions. CoRR abs/1301.6727 (2013) - 2012
- [c38]Cora Beatriz Pérez-Ariza, Ann E. Nicholson, Kevin B. Korb, Steven Mascaro, Chao Heng Hu:
Causal Discovery of Dynamic Bayesian Networks. Australasian Conference on Artificial Intelligence 2012: 902-913 - 2011
- [j9]M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro:
Incorporating expert knowledge when learning Bayesian network structure: A medical case study. Artif. Intell. Medicine 53(3): 181-204 (2011) - 2010
- [c37]Alan Dorin, Kevin B. Korb:
Network Measures of Ecosystem Complexity. ALIFE 2010: 323-328 - [r2]Kevin B. Korb:
Learning Graphical Models. Encyclopedia of Machine Learning 2010: 584-590
2000 – 2009
- 2009
- [c36]Alan Dorin, Kevin B. Korb:
A New Definition of Creativity. ACAL 2009: 11-21 - [c35]Lachlan Brumley, Kevin B. Korb, Carlo Kopp:
Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma. ACAL 2009: 53-62 - [c34]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. ACAL 2009: 86-95 - [c33]Yingying Wen, Kevin B. Korb, Ann E. Nicholson:
DataZapper: Generating Incomplete Datasets. ICAART 2009: 69-76 - [c32]Yingying Wen, Kevin B. Korb, Ann E. Nicholson:
Generating Incomplete Data with DataZapper. ICAART (Revised Selected Papers) 2009: 110-123 - [e2]Kevin B. Korb, Marcus Randall, Tim Hendtlass:
Artificial Life: Borrowing from Biology, 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings. Lecture Notes in Computer Science 5865, Springer 2009, ISBN 978-3-642-10426-8 [contents] - [i1]Alan Dorin, Kevin B. Korb:
Improbable Creativity. Computational Creativity: An Interdisciplinary Approach 2009 - 2008
- [c31]Alan Dorin, Kevin B. Korb, Volker Grimm:
Artificial-Life Ecosystems - What are they and what could they become? ALIFE 2008: 173-180 - [c30]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Species Selection of Aging for the Sake of Diversity. ALIFE 2008: 710-716 - [p3]Kevin B. Korb, Ann E. Nicholson:
The Causal Interpretation of Bayesian Networks. Innovations in Bayesian Networks 2008: 83-116 - 2007
- [j8]Carmel A. Pollino, Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Barry T. Hart:
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environ. Model. Softw. 22(8): 1140-1152 (2007) - [j7]Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting:
Classifying under computational resource constraints: anytime classification using probabilistic estimators. Mach. Learn. 69(1): 35-53 (2007) - [j6]Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting:
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. IEEE Trans. Knowl. Data Eng. 19(12): 1652-1665 (2007) - [c29]Lachlan Brumley, Kevin B. Korb, Carlo Kopp:
An Evolutionary Benefit from Misperception in Foraging Behaviour. ACAL 2007: 96-106 - [c28]Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope:
Take Heart II: A Modular Bayesian Decision Support System. ACSW 2007: 203-203 - [c27]Yingying Wen, Kevin B. Korb:
A heuristic algorithm for pattern-to-DAG conversion. Artificial Intelligence and Applications 2007: 428-433 - [c26]Alan Dorin, Kevin B. Korb:
Building Virtual Ecosystems from Artificial Chemistry. ECAL 2007: 103-112 - [r1]Kevin B. Korb:
Ethics of AI. Encyclopedia of Information Ethics and Security 2007: 279-284 - 2006
- [j5]Kevin B. Korb, Erik P. Nyberg:
The power of intervention. Minds Mach. 16(3): 289-302 (2006) - [c25]Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb:
Learning Hybrid Bayesian Networks by MML. Australian Conference on Artificial Intelligence 2006: 192-203 - [c24]Rodney T. O'Donnell, Ann E. Nicholson, B. Han, Kevin B. Korb, M. J. Alam, Lucas R. Hope:
Causal Discovery with Prior Information. Australian Conference on Artificial Intelligence 2006: 1162-1167 - [c23]Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting:
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. ECML 2006: 533-544 - 2005
- [c22]Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb:
Ensemble Selection for SuperParent-One-Dependence Estimators. Australian Conference on Artificial Intelligence 2005: 102-112 - [c21]Lucas R. Hope, Kevin B. Korb:
An Information-Theoretic Causal Power Theory. Australian Conference on Artificial Intelligence 2005: 805-811 - [p2]Steven Mascaro, Kevin B. Korb, Ann E. Nicholson:
Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments. Recent Advances in Artificial Life 2005 - [p1]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Chapter 24 The Evolution of Aging. Recent Advances in Artificial Life 2005 - 2004
- [b1]Kevin B. Korb, Ann E. Nicholson:
Bayesian Artificial Intelligence. Computer science and data analysis series, Chapman & Hall 2004, ISBN 978-1-58488-387-6, pp. 1-364 - [j4]Kevin B. Korb:
Introduction: Machine Learning as Philosophy of Science. Minds Mach. 14(4): 433-440 (2004) - [c20]Lucas R. Hope, Kevin B. Korb:
A Bayesian Metric for Evaluating Machine Learning Algorithms. Australian Conference on Artificial Intelligence 2004: 991-997 - [c19]Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino:
Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence 2004: 1101-1107 - [c18]Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick:
Varieties of Causal Intervention. PRICAI 2004: 322-331 - 2002
- [c17]Lucas R. Hope, Kevin B. Korb:
Bayesian Information Reward. Australian Joint Conference on Artificial Intelligence 2002: 272-283 - 2001
- [c16]Steven Mascaro, Kevin B. Korb, Ann E. Nicholson:
Suicide as an Evolutionarily Stable Strategy. ECAL 2001: 120-132 - [c15]Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes:
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. ECML 2001: 276-287 - [c14]Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson:
Seabreeze Prediction Using Bayesian Networks. PAKDD 2001: 148-153
1990 – 1999
- 1999
- [c13]Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb:
Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation. Australian Joint Conference on Artificial Intelligence 1999: 405-416 - [c12]Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett:
Exploratory Interaction with a Bayesian Argumentation System. IJCAI 1999: 1294-1299 - [c11]Julian R. Neil, Kevin B. Korb:
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. PAKDD 1999: 432-437 - [c10]Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah:
Bayesian Poker. UAI 1999: 343-350 - [c9]Julian R. Neil, Chris S. Wallace, Kevin B. Korb:
Learning Bayesian Networks with Restricted Causal Interactions. UAI 1999: 486-493 - 1998
- [j3]Kevin B. Korb:
The Frame Problem: An AI Fairy Tale. Minds Mach. 8(3): 317-351 (1998) - [c8]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. AAAI/IAAI 1998: 833-838 - [c7]Richard McConachy, Kevin B. Korb, Ingrid Zukerman:
A Bayesian Approach to Automating Argumentation. CoNLL 1998: 91-100 - [c6]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Attention During Argument Generation And Presentation. INLG 1998 - [e1]Xindong Wu, Kotagiri Ramamohanarao, Kevin B. Korb:
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings. Lecture Notes in Computer Science 1394, Springer 1998, ISBN 3-540-64383-4 [contents] - 1997
- [c5]Ingrid Zukerman, Richard McConachy, Kevin B. Korb:
Using Bayesian Networks for Abduction in Argumentation. ICONIP (1) 1997: 572-575 - [c4]Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu:
A Study of Causal Discovery With Weak Links and Small Samples. IJCAI 1997: 1304-1309 - 1996
- [c3]Honghua Dai, Kevin B. Korb, Chris S. Wallace:
The discovery of causal models with small samples. ANZIIS 1996: 27-30 - [c2]Chris S. Wallace, Kevin B. Korb, Honghua Dai:
Causal Discovery via MML. ICML 1996: 516-524 - 1995
- [j2]Kevin B. Korb:
Inductive learning and defeasible inference. J. Exp. Theor. Artif. Intell. 7(3): 291-324 (1995) - 1994
- [c1]Kevin B. Korb:
Infinitely Many Resolutions of Hempel's Paradox. TARK 1994: 138-149 - 1991
- [j1]Kevin B. Korb:
Searle's AI program. J. Exp. Theor. Artif. Intell. 3(4): 283-296 (1991)
Coauthor Index
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