Geoff Webb

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François PetitjeanAustralian GovernmentVerified email at pm.me
Jiangning (John) SongAssociate Professor, Biomedicine Discovery Institute and Data Futures Institute, Monash UniversityVerified email at monash.edu
Fuyi LiResearch Officer Bioinformatics, The Peter Doherty Institute for Infection and ImmunityVerified email at unimelb.edu.au
Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Claude SammutProfessor of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
André LeierUniversity of Alabama at BirminghamVerified email at uabmc.edu
Ying YangAustralian Taxation OfficeVerified email at ato.gov.au
Charlotte PelletierUniv. Bretagne SudVerified email at univ-ubs.fr
Chen LiCure Cancer Research Fellow, Monash UniversityVerified email at monash.edu
Germain ForestierFull Professor of Computer Science, Université de Haute AlsaceVerified email at uha.fr
ChangWei TanFaculty of Information Technology, Monash UniversityVerified email at monash.edu
Nayyar ZaidiDeakin UniversityVerified email at deakin.edu.au
Kai Ming TingNanjing UniversityVerified email at nju.edu.cn
James WhisstockMonash University, ARC Centre of Excellence in Advanced Molecular Imaging, EMBL AustraliaVerified email at monash.edu
Yanan WangMonash UniversityVerified email at monash.edu
Daniel SchmidtAssociate Professor (Data Science), Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Roger DalyDept of Biochemistry and Molecular Biology, Monash UniversityVerified email at monash.edu
Christoph BergmeirUniversity of GranadaVerified email at monash.edu
Zhen ChenSchool of the Built Environment, Heriot-Watt UniversityVerified email at hw.ac.uk
Trevor LithgowMonash UniversityVerified email at monash.edu

Geoff Webb

Other namesGeoffrey I. 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 Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Encyclopedia of machine learning C Sammut, GI Webb Springer Science & Business Media, 2011	2107	2011
Not so naive Bayes: Aggregating one-dependence estimators GI Webb, JR Boughton, Z Wang Machine Learning 58 (1), 5-24, 2005	908	2005
Multiboosting: A technique for combining boosting and wagging GI Webb Machine learning 40, 159-196, 2000	907	2000
Inceptiontime: Finding alexnet for time series classification H Ismail Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... Data Mining and Knowledge Discovery 34 (6), 1936-1962, 2020	835	2020
Encyclopedia of machine learning and data mining C Sammut, GI Webb Springer Publishing Company, Incorporated, 2017	660	2017
Machine learning for user modeling GI Webb, MJ Pazzani, D Billsus User modeling and user-adapted interaction 11, 19-29, 2001	614	2001
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels A Dempster, F Petitjean, GI Webb Data Mining and Knowledge Discovery 34 (5), 1454-1495, 2020	542	2020
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	518	2009
Naïve Bayes. GI Webb Encyclopedia of machine learning, 713-714, 2010	484	2010
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	475	2018
Characterizing Concept Drift GI Webb, R Hyde, H Cao, HL Nguyen, F Petitjean Data Mining and Knowledge Discovery, 2016	465	2016
Temporal convolutional neural network for the classification of satellite image time series C Pelletier, GI Webb, F Petitjean Remote Sensing 11 (5), 523, 2019	418	2019
Lazy learning of Bayesian rules Z Zheng, GI Webb Machine Learning 41, 53-84, 2000	365	2000
Discovering significant patterns GI Webb Machine learning 68, 1-33, 2007	359	2007
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	313	2012
Discretization for naive-Bayes learning: managing discretization bias and variance Y Yang, GI Webb Machine learning 74, 39-74, 2009	311	2009
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data Z Chen, P Zhao, F Li, TT Marquez-Lago, A Leier, J Revote, Y Zhu, ... Briefings in bioinformatics 21 (3), 1047-1057, 2020	297	2020
OPUS: An efficient admissible algorithm for unordered search GI Webb Journal of Artificial Intelligence Research 3, 431-465, 1995	297	1995
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	287	2004
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	284	2014

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