Geoff Webb - Google Scholar Citations

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Jiangning SongAssociate Professor, Biomedicine Discovery Institute, Monash UniversityVerified email at monash.edu
François PetitjeanMonash UniversityVerified email at monash.edu
Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Kai Ming TingFederation University AustraliaVerified email at federation.edu.au
James WhisstockMonash University, ARC Centre of Excellence in Advanced Molecular Imaging, EMBL AustraliaVerified email at monash.edu
Nayyar ZaidiMonash UniversityVerified email at monash.edu
André LeierUniversity of Alabama at BirminghamVerified email at uabmc.edu
Fuyi LiPhD candidate, Biomedicine Discovery Institute, Monash UniversityVerified email at monash.edu
Chen LiAustralian NHMRC CJ Martin Research Fellow, ETH Zurich, Monash UniversityVerified email at monash.edu
Claude SammutProfessor of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
Trevor LithgowBiomedicine Discovery Institute, Monash UniversityVerified email at monash.edu
Robert N. PikeLa Trobe Institute for Molecular Science, La Trobe UniversityVerified email at latrobe.edu.au
Mark CarmanPolitecnico di MilanoVerified email at polimi.it
Germain ForestierFull Professor of Computer Science, Université de Haute AlsaceVerified email at uha.fr
Jesus CerquidesTenured Researcher, IIIA-CSICVerified email at iiia.csic.es
Kevin B KorbReader, Computer Science, Monash UniversityVerified email at monash.edu
Michael J. PazzaniProfessor of Computer Science and Engineering, University of California, RiversideVerified email at UCR.edu
Yakov FraymanInstitute of Cybernetics, Behavioral Control and Dynamical Systems, DirectorVerified email at alphalink.com.au
Bernard RolfeDeakin UniversityVerified email at deakin.edu.au
Xindong WuMininglamp Academy of SciencesVerified email at mininglamp.com

Geoff Webb

Professor of Information Technology Research, Monash University

Verified email at monash.edu - Homepage

Machine Learning Data Science Pattern Discovery Time Series Classification Concept Drift


Title	Cited by	Year
Multiboosting: A technique for combining boosting and wagging GI Webb Machine learning 40 (2), 159-196, 2000	713	2000
Not so naive Bayes: Aggregating one-dependence estimators GI Webb, JR Boughton, Z Wang Machine Learning 58 (1), 5-24, 2005	644	2005
Encyclopedia of machine learning C Sammut, GI Webb Springer Science & Business Media, 2011	564	2011
Machine learning for user modeling GI Webb, MJ Pazzani, D Billsus User modeling and user-adapted interaction 11 (1-2), 19-29, 2001	490	2001
Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining PK Novak, N Lavrač, GI Webb Journal of Machine Learning Research 10 (Feb), 377-403, 2009	449	2009
Lazy learning of Bayesian rules Z Zheng, GI Webb Machine Learning 41 (1), 53-84, 2000	301	2000
Discovering significant patterns GI Webb Machine learning 68 (1), 1-33, 2007	282	2007
OPUS: An efficient admissible algorithm for unordered search GI Webb Journal of Artificial Intelligence Research 3, 431-465, 1995	255	1995
Efficient search for association rules GI Webb Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge …, 2000	240	2000
Discretization for naive-Bayes learning: managing discretization bias and variance Y Yang, GI Webb Machine learning 74 (1), 39-74, 2009	216*	2009
A comparative study of discretization methods for naive-Bayes classifiers Y Yang, GI Webb Proceedings of the 2002 Pacific Rim Knowledge Acquisition Workshop (PKAW'02 …, 2002	206	2002
Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features Y Liu, M Wang, H Wang, H Tan, Z Zhang, G Webb, J Song Scientific Reports 4 (Art. No.: 5765), 1-12, 2014	140*	2014
Further experimental evidence against the utility of Occam's razor GI Webb Journal of Artificial Intelligence Research 4, 397-417, 1996	140	1996
Dynamic time warping averaging of time series allows faster and more accurate classification F Petitjean, G Forestier, GI Webb, AE Nicholson, Y Chen, E Keogh 2014 IEEE international conference on data mining, 470-479, 2014	139	2014
PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites J Song, H Tan, AJ Perry, T Akutsu, GI Webb, JC Whisstock, RN Pike PloS one 7 (11), e50300, 2012	137	2012
On detecting differences between groups GI Webb, S Butler, D Newlands Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	136	2003
Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques GI Webb, Z Zheng IEEE Transactions on Knowledge and Data Engineering 16 (8), 980-991, 2004	133	2004
Cascleave: towards more accurate prediction of caspase substrate cleavage sites J Song, H Tan, H Shen, K Mahmood, SE Boyd, GI Webb, T Akutsu, ... Bioinformatics 26 (6), 752-760, 2010	130	2010
K-Optimal Rule Discovery GI Webb, S Zhang Data Mining and Knowledge Discovery 10 (1), 39-79, 2005	126	2005
KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining L Cao, C Zhang, T Joachims, GIB Webb, D Margineantu, G Williams Association for Computing Machinery (ACM), 2015	123	2015

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