Geoff Webb
Geoff Webb
Professor of Information Technology Research, Monash University
Verified email at - Homepage
Cited by
Cited by
Encyclopedia of machine learning
C Sammut, GI Webb
Springer Science & Business Media, 2011
Multiboosting: A technique for combining boosting and wagging
GI Webb
Machine learning 40 (2), 159-196, 2000
Not so naive Bayes: Aggregating one-dependence estimators
GI Webb, JR Boughton, Z Wang
Machine Learning 58 (1), 5-24, 2005
Machine learning for user modeling
GI Webb, MJ Pazzani, D Billsus
User modeling and user-adapted interaction 11 (1), 19-29, 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 (2), 2009
Encyclopedia of machine learning and data mining
C Sammut, GI Webb
Springer Publishing Company, Incorporated, 2017
Lazy learning of Bayesian rules
Z Zheng, GI Webb
Machine Learning 41 (1), 53-84, 2000
Discovering significant patterns
GI Webb
Machine learning 68 (1), 1-33, 2007
OPUS: An efficient admissible algorithm for unordered search
GI Webb
Journal of Artificial Intelligence Research 3, 431-465, 1995
Discretization for naive-Bayes learning: managing discretization bias and variance
Y Yang, GI Webb
Machine learning 74 (1), 39-74, 2009
Efficient search for association rules
GI Webb
Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge …, 2000
Characterizing Concept Drift
GI Webb, R Hyde, H Cao, HL Nguyen, F Petitjean
Data Mining and Knowledge Discovery, 2016
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, Y Wang, GI Webb, ...
Bioinformatics 34 (14), 2499-2502, 2018
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
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
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
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
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
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
Alleviating naive Bayes attribute independence assumption by attribute weighting
NA Zaidi, J Cerquides, MJ Carman, GI Webb
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