Geoffrey I. Webb

	2012
112		Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez: Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) 2012: 151-162
111		Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb, Janice R. Boughton: Techniques for Efficient Learning without Search. PAKDD (1) 2012: 50-61
110		Geoffrey I. Webb, Janice R. Boughton, Fei Zheng, Kai Ming Ting, Houssam Salem: Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification. Machine Learning 86(2): 233-272 (2012)
109		Fei Zheng, Geoffrey I. Webb, Pramuditha Suraweera, Liguang Zhu: Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning. Machine Learning 87(1): 93-125 (2012)
	2011
108		Jiangning Song, Hao Tan, Sarah E. Boyd, Hongbin Shen, Khalid Mahmood, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock, Robert N. Pike: Bioinformatic Approaches for Predicting substrates of Proteases. J. Bioinformatics and Computational Biology 9(1): 149-178 (2011)
107		Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb: Feature-subspace aggregating: ensembles for stable and unstable learners. Machine Learning 82(3): 375-397 (2011)
106		Geoffrey I. Webb: Filtered-top-k association discovery. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(3): 183-192 (2011)
	2010
105		Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu: ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 IEEE Computer Society 2010
104		Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu: ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 14 December 2010 IEEE Computer Society 2010
103		Claude Sammut, Geoffrey I. Webb: Encyclopedia of Machine Learning Springer 2010
102		Ying Yang, Geoffrey I. Webb, Xindong Wu: Discretization Methods. Data Mining and Knowledge Discovery Handbook 2010: 101-116
101		Geoffrey I. Webb: Data Preparation. Encyclopedia of Machine Learning 2010: 259-260
100		Geoffrey I. Webb: Algorithm Evaluation. Encyclopedia of Machine Learning 2010: 35-36
99		Bin Liu, Geoffrey I. Webb: Generative and Discriminative Learning. Encyclopedia of Machine Learning 2010: 454-455
98		Geoffrey I. Webb: Lazy Learning. Encyclopedia of Machine Learning 2010: 571-572
97		Fei Zheng, Geoffrey I. Webb: Averaged One-Dependence Estimators. Encyclopedia of Machine Learning 2010: 63-64
96		Geoffrey I. Webb: Model Evaluation. Encyclopedia of Machine Learning 2010: 683
95		Geoffrey I. Webb: MultiBoosting. Encyclopedia of Machine Learning 2010: 699-701
94		Geoffrey I. Webb: Naïve Bayes. Encyclopedia of Machine Learning 2010: 713-714
93		Geoffrey I. Webb: Occam's Razor. Encyclopedia of Machine Learning 2010: 735
92		Geoffrey I. Webb: Bayes Rule. Encyclopedia of Machine Learning 2010: 74-75
91		Geoffrey I. Webb: Overfitting. Encyclopedia of Machine Learning 2010: 744
90		Geoffrey I. Webb: Posterior Probability. Encyclopedia of Machine Learning 2010: 780
89		Geoffrey I. Webb: Prior Probability. Encyclopedia of Machine Learning 2010: 782
88		Fei Zheng, Geoffrey I. Webb: Semi-Naive Bayesian Learning. Encyclopedia of Machine Learning 2010: 889-892
87		Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb: Supervised Descriptive Rule Induction. Encyclopedia of Machine Learning 2010: 938-941
86		Fei Zheng, Geoffrey I. Webb: Tree Augmented Naive Bayes. Encyclopedia of Machine Learning 2010: 990-991
85		Khalid Mahmood, Arun Siddharth Konagurthu, Jiangning Song, Ashley M. Buckle, Geoffrey I. Webb, James C. Whisstock: EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes. Bioinformatics 26(17): 2076-2084 (2010)
84		Jiangning Song, Hao Tan, Hongbin Shen, Khalid Mahmood, Sarah E. Boyd, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock: Cascleave: towards more accurate prediction of caspase substrate cleavage sites. Bioinformatics 26(6): 752-760 (2010)
83		Geoffrey I. Webb: Self-sufficient itemsets: An approach to screening potentially interesting associations between items. TKDD 4(1): (2010)
	2009
82		Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb: FaSS: Ensembles for Stable Learners. MCS 2009: 364-374
81		Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton: A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. PAKDD 2009: 302-313
80		Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb: Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining. Journal of Machine Learning Research 10: 377-403 (2009)
79		Ying Yang, Geoffrey I. Webb: Discretization for naive-Bayes learning: managing discretization bias and variance. Machine Learning 74(1): 39-74 (2009)
78		Bei Hui, Ying Yang, Geoffrey I. Webb: Anytime classification for a pool of instances. Machine Learning 77(1): 61-102 (2009)
	2008
77		Geoffrey I. Webb: Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries. AusDM 2008: 15
76		Geoffrey I. Webb: Discovering significant patterns. Machine Learning 71(1): 131 (2008)
75		Geoffrey I. Webb: Layered critical values: a powerful direct-adjustment approach to discovering significant patterns. Machine Learning 71(2-3): 307-323 (2008)
	2007
74		Fei Zheng, Geoffrey I. Webb: Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. ECML 2007: 490-501
73		Geoffrey I. Webb: Finding the Real Patterns. PAKDD 2007: 6
72		Geoffrey I. Webb: Editorial. Data Min. Knowl. Discov. 15(1): 1-2 (2007)
71		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)
70		Geoffrey I. Webb: Discovering Significant Patterns. Machine Learning 68(1): 1-33 (2007)
69		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
68		Qiang Yang, Geoffrey I. Webb: PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings Springer 2006
67		Jingli Lu, Ying Yang, Geoffrey I. Webb: Incremental Discretization for Naïve-Bayes Classifier. ADMA 2006: 223-238
66		Geoffrey I. Webb: Anytime learning and classification for online applications. AMT 2006: 7-12
65		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
64		Fei Zheng, Geoffrey I. Webb: Efficient lazy elimination for averaged one-dependence estimators. ICML 2006: 1113-1120
63		Geoffrey I. Webb: Discovering significant rules. KDD 2006: 434-443
62		Geoffrey I. Webb, Damien Brain: Generality Is Predictive of Prediction Accuracy. Selected Papers from AusDM 2006: 1-13
61		Shiying Huang, Geoffrey I. Webb: Efficiently Identifying Exploratory Rules' Significance. Selected Papers from AusDM 2006: 64-77
	2005
60		Geoffrey I. Webb: K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining. Australian Conference on Artificial Intelligence 2005: 1-2
59		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
58		Shiying Huang, Geoffrey I. Webb: Pruning Derivative Partial Rules During Impact Rule Discovery. PAKDD 2005: 71-80
57		Shiying Huang, Geoffrey I. Webb: Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases. SDM 2005
56		Ying Yang, Geoffrey I. Webb, Xindong Wu: Discretization Methods. The Data Mining and Knowledge Discovery Handbook 2005: 113-130
55		Geoffrey I. Webb, Songmao Zhang: K-Optimal Rule Discovery. Data Min. Knowl. Discov. 10(1): 39-79 (2005)
54		Geoffrey I. Webb, Kai Ming Ting: On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. Machine Learning 58(1): 25-32 (2005)
53		Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang: Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning 58(1): 5-24 (2005)
	2004
52		Geoffrey I. Webb, Xinghuo Yu: AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings Springer 2004
51		Dhananjay R. Thiruvady, Geoffrey I. Webb: Mining Negative Rules Using GRD. PAKDD 2004: 161-165
50		Zhihai Wang, Geoffrey I. Webb, Fei Zheng: Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. PAKDD 2004: 319-328
49		Geoffrey I. Webb, Zijian Zheng: Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. IEEE Trans. Knowl. Data Eng. 16(8): 980-991 (2004)
48		Honghua Dai, Geoffrey I. Webb: Guest Editors' Introduction. International Journal of Software Engineering and Knowledge Engineering 14(4): 365-368 (2004)
	2003
47		Ying Yang, Geoffrey I. Webb: On Why Discretization Works for Naive-Bayes Classifiers. Australian Conference on Artificial Intelligence 2003: 440-452
46		Zhihai Wang, Geoffrey I. Webb, Fei Zheng: Adjusting Dependence Relations for Semi-Lazy TAN Classifiers. Australian Conference on Artificial Intelligence 2003: 453-465
45		Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis: A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images. Australian Conference on Artificial Intelligence 2003: 677-685
44		Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands: On detecting differences between groups. KDD 2003: 256-265
43		Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang: A New Restricted Bayesian Network Classifier. PAKDD 2003: 265-270
42		Ying Yang, Geoffrey I. Webb: Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. PAKDD 2003: 501-512
41		Chengqi Zhang, Shichao Zhang, Geoffrey I. Webb: Identifying Approximate Itemsets of Interest in Large Databases. Appl. Intell. 18(1): 91-104 (2003)
	2002
40		Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb: Solving Regression Problems Using Competitive Ensemble Models. Australian Joint Conference on Artificial Intelligence 2002: 511-522
39		Zhihai Wang, Geoffrey I. Webb: Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. ICDM 2002: 490-497
38		James E. Pearce, Geoffrey I. Webb, Robin N. Shaw, Brian Garner: Experimentation and Self Learning in Continuous Database Marketing. ICDM 2002: 775-778
37		Ying Yang, Geoffrey I. Webb: Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML 2002: 666-673
36		Damien Brain, Geoffrey I. Webb: The Need for Low Bias Algorithms in Classification Learning from Large Data Sets. PKDD 2002: 62-73
	2001
35		Geoffrey I. Webb: Candidate Elimination Criteria for Lazy Bayesian Rules. Australian Joint Conference on Artificial Intelligence 2001: 545-556
34		Songmao Zhang, Geoffrey I. Webb: Further Pruning for Efficient Association Rule Discovery. Australian Joint Conference on Artificial Intelligence 2001: 605-618
33		Ying Yang, Geoffrey I. Webb: Proportional k-Interval Discretization for Naive-Bayes Classifiers. ECML 2001: 564-575
32		Geoffrey I. Webb: Discovering associations with numeric variables. KDD 2001: 383-388
31		Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus: Machine Learning for User Modeling. User Model. User-Adapt. Interact. 11(1-2): 19-29 (2001)
	2000
30		Geoffrey I. Webb: Efficient search for association rules. KDD 2000: 99-107
29		Geoffrey I. Webb: MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning 40(2): 159-196 (2000)
28		Zijian Zheng, Geoffrey I. Webb: Lazy Learning of Bayesian Rules. Machine Learning 41(1): 53-84 (2000)
	1999
27		Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting: Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. ICML 1999: 493-502
26		Geoffrey I. Webb: Decision Tree Grafting From the All Tests But One Partition. IJCAI 1999: 702-707
25		Zijian Zheng, Geoffrey I. Webb: Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. PAKDD 1999: 123-132
24		Douglas A. Newlands, Geoffrey I. Webb: Convex Hulls in Concept Induction. PAKDD 1999: 306-316
23		Geoffrey I. Webb, Jason Wells, Zijian Zheng: An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition. Machine Learning 35(1): 5-23 (1999)
	1998
22		Geoffrey I. Webb: The Problem of Missing Values in Decision Tree Grafting. Australian Joint Conference on Artificial Intelligence 1998: 273-283
21		Geoffrey I. Webb, Michael J. Pazzani: Adjusted Probability Naive Bayesian Induction. Australian Joint Conference on Artificial Intelligence 1998: 285-295
20		Zijian Zheng, Geoffrey I. Webb: Stochastic Attribute Selection Committees. Australian Joint Conference on Artificial Intelligence 1998: 321-332
19		Murlikrishna Viswanathan, Geoffrey I. Webb: Classification Learning Using All Rules. ECML 1998: 149-159
18		Geoffrey I. Webb, Mark Kuzmycz: Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling. Intelligent Tutoring Systems 1998: 384-393
17		Geoffrey I. Webb: Preface to UMUAI Special Issue on Machine Learning for User Modeling. User Model. User-Adapt. Interact. 8(1-2): 1-3 (1998)
16		Bark Cheung Chiu, Geoffrey I. Webb: Using Decision Trees for Agent Modeling: Improving Prediction Performance. User Model. User-Adapt. Interact. 8(1-2): 131-152 (1998)
	1997
15		Bark Cheung Chiu, Geoffrey I. Webb, Zijian Zheng: Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions. Australian Joint Conference on Artificial Intelligence 1997: 349-358
14		Geoffrey I. Webb: Decision Tree Grafting. IJCAI (2) 1997: 846-851
	1996
13		Geoffrey I. Webb: Cost-Sensitive Specialization. PRICAI 1996: 23-34
12		Geoffrey I. Webb: Further Experimental Evidence against the Utility of Occam's Razor CoRR cs.AI/9605101: (1996)
11		Geoffrey I. Webb: Further Experimental Evidence against the Utility of Occam's Razor. J. Artif. Intell. Res. (JAIR) 4: 397-417 (1996)
10		Geoffrey I. Webb: Integrating machine learning with knowledge acquisition through direct interaction with domain experts. Knowl.-Based Syst. 9(4): 253-266 (1996)
	1995
9		Philip A. Smith, Geoffrey I. Webb: Transparency Debugging with Explanations for Novice Programmers. AADEBUG 1995: 105-118
8		Douglas A. Newlands, Geoffrey I. Webb: Polygonal Inductive Generalisation System. IEA/AIE 1995: 587-592
7		Geoffrey I. Webb: OPUS: An Efficient Admissible Algorithm for Unordered Search. J. Artif. Intell. Res. (JAIR) 3: 431-465 (1995)
6		Geoffrey I. Webb, Mark Kuzmycz: Feature Based Modelling: A Methodology for Producing Coherent, Consistent, Dynamically Changing Models of Agents' Competencies. User Model. User-Adapt. Interact. 5(2): 117-150 (1995)
	1992
5		Mark Kuzmycz, Geoffrey I. Webb: Evaluation of Feature Based Modelling in Subtraction. Intelligent Tutoring Systems 1992: 269-276
4		Geoffrey I. Webb, John W. M. Agar: Inducing diagnostic rules for glomerular disease with the DLG machine learning algorithm. Artificial Intelligence in Medicine 4(6): 419-430 (1992)
	1990
3		Louis Sanzogn, Francis Suraweera, Geoffrey I. Webb: Improving the efficiency of rule-based expert systems by rule activation. J. Exp. Theor. Artif. Intell. 2(4): 369-380 (1990)
	1988
2		Geoffrey I. Webb: Techniques for Efficient Empirical Induction. Australian Joint Conference on Artificial Intelligence 1988: 225-239
1		Geoffrey I. Webb: A Knowledge-Based Approach to Computer-Aided Learning. International Journal of Man-Machine Studies 29(3): 257-285 (1988)

Coauthor Index

1	John W. M. Agar	[4]
2	Tatsuya Akutsu	[84] [108]
3	Daniel Billsus	[31]
4	Janice R. Boughton	[53] [65] [71] [81] [110] [111]
5	Sarah E. Boyd	[84] [108]
6	Damien Brain	[36] [62]
7	Ashley M. Buckle	[85]
8	Shane M. Butler	[44] [45]
9	Jesús Cerquides	[65] [71]
10	Bark Cheung Chiu	[15] [16]
11	Honghua Dai	[48]
12	Wei Fan	[104]
13	M. Julia Flores	[112]
14	Yakov Frayman	[40]
15	José A. Gámez (José Antonio Gámez)	[112]
16	Brian Garner	[38]
17	Dimitrios Gunopulos	[104] [105]
18	Wynne Hsu	[104]
19	Houkuan Huang	[43]
20	Shiying Huang	[57] [58] [61]
21	Bei Hui	[78]
22	Arun Siddharth Konagurthu	[85]
23	Kevin B. Korb	[59] [65] [69] [71]
24	Mark Kuzmycz	[5] [6] [18]
25	Nada Lavrac	[80] [87]
26	Rob A. Lewis	[45]
27	Bin Liu	[81] [99]
28	Bing Liu	[104] [105]
29	Jingli Lu	[67]
30	Khalid Mahmood	[84] [85] [108]
31	Ana M. Martínez	[112]
32	Douglas A. Newlands	[8] [24] [44]
33	Petra Kralj Novak (Petra Kralj)	[80] [87]
34	Michael J. Pazzani	[21] [31]
35	James E. Pearce	[38]
36	Robert N. Pike	[108]
37	Bernard F. Rolfe	[40]
38	Houssam Salem	[110] [111]
39	Claude Sammut	[103]
40	Louis Sanzogn	[3]
41	Robin N. Shaw	[38]
42	Hongbin Shen	[84] [108]
43	Hongbo Shi	[43]
44	Philip A. Smith	[9]
45	Jiangning Song	[84] [85] [108]
46	Francis Suraweera	[3]
47	Pramuditha Suraweera	[109] [111]
48	Hao Tan	[84] [108]
49	Swee Chuan Tan (James Swee Chuan Tan)	[82] [107]
50	Shyh Wei Teng	[82] [107]
51	Dhananjay R. Thiruvady (Dhananjay Raghavan Thiruvady)	[51]
52	Kai Ming Ting	[27] [54] [59] [65] [69] [71] [82] [107] [110]
53	Murlikrishna Viswanathan	[19]
54	Zhihai Wang	[39] [43] [46] [50] [53]
55	Jason Wells	[23]
56	Jonathan R. Wells	[82] [107]
57	James C. Whisstock	[84] [85] [108]
58	Xindong Wu	[56] [102] [104] [105]
59	Qiang Yang	[68]
60	Ying Yang	[33] [37] [42] [47] [56] [59] [65] [67] [69] [71] [78] [79] [81] [102]
61	Xinghuo Yu	[52]
62	Chengqi Zhang	[41] [104] [105]
63	Shichao Zhang	[41]
64	Songmao Zhang	[34] [55]
65	Fei Zheng	[46] [50] [64] [74] [86] [88] [97] [109] [110]
66	Zijian Zheng	[15] [20] [23] [25] [27] [28] [49]
67	Liguang Zhu	[109]

Colors in the list of coauthors

Last update Mon May 28 22:55:46 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page