Geoff Webb

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François PetitjeanAustralian GovernmentVerified email at pm.me
Jiangning (John) SongProfessor, Biomedicine Discovery Institute and Data Futures Institute, Monash UniversityVerified email at monash.edu
Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
André LeierUniversity of Alabama at BirminghamVerified email at uabmc.edu
Charlotte PelletierUniv. Bretagne SudVerified email at univ-ubs.fr
Claude SammutProfessor of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
Daniel SchmidtAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Ying YangAustralian Taxation OfficeVerified email at ato.gov.au
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
Chen LiMonash UniversityVerified email at monash.edu
Nayyar ZaidiDeakin UniversityVerified email at deakin.edu.au
Yanan WangMonash UniversityVerified email at monash.edu
Kai Ming TingNanjing UniversityVerified email at nju.edu.cn
Roger DalyDept of Biochemistry and Molecular Biology, Monash UniversityVerified email at monash.edu
Angus DempsterMonash UniversityVerified email at monash.edu
James WhisstockMonash University, ARC Centre of Excellence in Advanced Molecular Imaging, EMBL AustraliaVerified email at monash.edu
Christoph BergmeirUniversity of GranadaVerified email at monash.edu
Mahsa SalehiSenior Lecturer, Monash UniversityVerified email at monash.edu
Zhen ChenSchool of the Built Environment, Heriot-Watt UniversityVerified email at hw.ac.uk

Geoff Webb

Other namesGeoffrey I. Webb

Professor, Department of Data Science and Artificial Intelligence, 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	2473	2011
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	1235	2020
Multiboosting: A technique for combining boosting and wagging GI Webb Machine learning 40, 159-196, 2000	930	2000
Not so naive Bayes: Aggregating one-dependence estimators GI Webb, JR Boughton, Z Wang Machine Learning 58 (1), 5-24, 2005	929	2005
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	881	2020
Encyclopedia of machine learning and data mining C Sammut, GI Webb Springer Publishing Company, Incorporated, 2017	750	2017
Naïve Bayes. GI Webb Encyclopedia of machine learning, 713-714, 2010	713	2010
Machine learning for user modeling GI Webb, MJ Pazzani, D Billsus User modeling and user-adapted interaction 11, 19-29, 2001	645	2001
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	578	2018
Characterizing Concept Drift GI Webb, R Hyde, H Cao, HL Nguyen, F Petitjean Data Mining and Knowledge Discovery, 2016	545	2016
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	540	2009
Temporal convolutional neural network for the classification of satellite image time series C Pelletier, GI Webb, F Petitjean Remote Sensing 11 (5), 523, 2019	533	2019
A novel selective naïve Bayes algorithm S Chen, GI Webb, L Liu, X Ma Knowledge-Based Systems 192, 105361, 2020	415	2020
Minirocket: A very fast (almost) deterministic transform for time series classification A Dempster, DF Schmidt, GI Webb Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021	382	2021
Lazy learning of Bayesian rules Z Zheng, GI Webb Machine learning 41, 53-84, 2000	371	2000
Discovering significant patterns GI Webb Machine learning 68, 1-33, 2007	367	2007
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	357	2020
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	338	2012
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	330	2004
Discretization for naive-Bayes learning: managing discretization bias and variance Y Yang, GI Webb Machine learning 74, 39-74, 2009	328	2009

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