Kevin B. Korb

	2011
41		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. Artificial Intelligence in Medicine 53(3): 181-204 (2011)
	2010
40		Kevin B. Korb: Learning Graphical Models. Encyclopedia of Machine Learning 2010: 584-590
	2009
39		Kevin B. Korb, Marcus Randall, Tim Hendtlass: Artificial Life: Borrowing from Biology, 4th Australian Conference, ACAL 2009, Melbourne, Australia, December 1-4, 2009. Proceedings Springer 2009
38		Alan Dorin, Kevin B. Korb: A New Definition of Creativity. ACAL 2009: 11-21
37		Lachlan Brumley, Kevin B. Korb, Carlo Kopp: Using Misperception to Counteract Noise in the Iterated Prisoner's Dilemma. ACAL 2009: 53-62
36		Owen Woodberry, Kevin B. Korb, Ann E. Nicholson: Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. ACAL 2009: 86-95
35		Yingying Wen, Kevin B. Korb, Ann E. Nicholson: DataZapper: Generating Incomplete Datasets. ICAART 2009: 69-76
	2008
34		Kevin B. Korb, Ann E. Nicholson: The Causal Interpretation of Bayesian Networks. Innovations in Bayesian Networks 2008: 83-116
	2007
33		Lachlan Brumley, Kevin B. Korb, Carlo Kopp: An Evolutionary Benefit from Misperception in Foraging Behaviour. ACAL 2007: 96-106
32		Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope: Take Heart II: A Modular Bayesian Decision Support System. ACSW Frontiers 2007: 203-203
31		Yingying Wen, Kevin B. Korb: A heuristic algorithm for pattern-to-DAG conversion. Artificial Intelligence and Applications 2007: 428-433
30		Alan Dorin, Kevin B. Korb: Building Virtual Ecosystems from Artificial Chemistry. ECAL 2007: 103-112
29		Kevin B. Korb: Ethics of AI. Encyclopedia of Information Ethics and Security 2007: 279-284
28		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. Environmental Modelling and Software 22(8): 1140-1152 (2007)
27		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)
26		Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting: Classifying under computational resource constraints: anytime classification using probabilistic estimators. Machine Learning 69(1): 35-53 (2007)
	2006
25		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
24		Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb: Learning Hybrid Bayesian Networks by MML. Australian Conference on Artificial Intelligence 2006: 192-203
23		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
22		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
21		Lucas R. Hope, Kevin B. Korb: An Information-Theoretic Causal Power Theory. Australian Conference on Artificial Intelligence 2005: 805-811
	2004
20		Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino: Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence 2004: 1101-1107
19		Lucas R. Hope, Kevin B. Korb: A Bayesian Metric for Evaluating Machine Learning Algorithms. Australian Conference on Artificial Intelligence 2004: 991-997
18		Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick: Varieties of Causal Intervention. PRICAI 2004: 322-331
	2002
17		Lucas R. Hope, Kevin B. Korb: Bayesian Information Reward. Australian Joint Conference on Artificial Intelligence 2002: 272-283
	2001
16		Steven Mascaro, Kevin B. Korb, Ann E. Nicholson: Suicide as an Evolutionarily Stable Strategy. ECAL 2001: 120-132
15		Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes: The Evaluation of Predictive Learners: Some Theoretical and Empirical Results. ECML 2001: 276-287
14		Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson: Seabreeze Prediction Using Bayesian Networks. PAKDD 2001: 148-153
	1999
13		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
12		Ingrid Zukerman, Richard McConachy, Kevin B. Korb, Deborah Pickett: Exploratory Interaction with a Bayesian Argumentation System. IJCAI 1999: 1294-1299
11		Julian R. Neil, Kevin B. Korb: The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors. PAKDD 1999: 432-437
10		Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah: Bayesian Poker. UAI 1999: 343-350
9		Julian R. Neil, Chris S. Wallace, Kevin B. Korb: Learning Bayesian Networks with Restricted Causal Interactions. UAI 1999: 486-493
	1998
8		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 Springer 1998
7		Ingrid Zukerman, Richard McConachy, Kevin B. Korb: Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis. AAAI/IAAI 1998: 833-838
	1997
6		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
5		Honghua Dai, Kevin B. Korb, Chris S. Wallace: The discovery of causal models with small samples. ANZIIS 1996: 27-30
4		Chris S. Wallace, Kevin B. Korb, Honghua Dai: Causal Discovery via MML. ICML 1996: 516-524
	1995
3		Kevin B. Korb: Inductive learning and defeasible inference. J. Exp. Theor. Artif. Intell. 7(3): 291-324 (1995)
	1994
2		Kevin B. Korb: Infinitely Many Resolutions of Hempel's Paradox. TARK 1994: 138-149
	1991
1		Kevin B. Korb: Searle's AI program. J. Exp. Theor. Artif. Intell. 3(4): 283-296 (1991)

Coauthor Index

1	M. J. Alam	[25]
2	Lloyd Allison	[24]
3	Karl Axnick	[18]
4	Janice R. Boughton	[23] [27]
5	Lachlan Brumley	[33] [37]
6	Andrew Brunskill	[41]
7	Jesús Cerquides	[23] [27]
8	Honghua Dai	[4] [5] [6]
9	Alan Dorin	[30] [38]
10	David L. Dowe	[13]
11	M. Julia Flores	[41]
12	B. Han	[25]
13	Barry T. Hart	[28]
14	Tim Hendtlass	[39]
15	Lucas R. Hope	[15] [17] [18] [19] [21] [25] [32]
16	Michelle J. Hughes	[15]
17	Nathalie Jitnah	[10]
18	Russell J. Kennett	[14]
19	Carlo Kopp	[33] [37]
20	Steven Mascaro	[16] [41]
21	Richard McConachy	[7] [12]
22	Julian R. Neil	[9] [11]
23	Ann E. Nicholson	[10] [14] [16] [18] [20] [25] [28] [32] [34] [35] [36] [41]
24	Rodney T. O'Donnell	[24] [25]
25	Deborah Pickett	[12]
26	Carmel A. Pollino	[20] [28]
27	Kotagiri Ramamohanarao (Rao Kotagiri)	[8]
28	Marcus Randall	[39]
29	Kai Ming Ting	[22] [23] [26] [27]
30	Murlikrishna Viswanathan	[13]
31	Chris S. Wallace	[4] [5] [6] [9] [13]
32	Geoffrey I. Webb	[22] [23] [26] [27]
33	Yingying Wen	[31] [35]
34	Owen Woodberry	[20] [28] [36]
35	Xindong Wu	[6] [8]
36	Ying Yang	[22] [23] [26] [27]
37	Ingrid Zukerman	[7] [12]

Colors in the list of coauthors

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