Geoffrey Holmes
Geoffrey Holmes
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The WEKA data mining software: an update
M Hall, E Frank, G Holmes, B Pfahringer, P Reutemann, IH Witten
ACM SIGKDD explorations newsletter 11 (1), 10-18, 2009
Moa: Massive online analysis, a framework for stream classification and clustering
A Bifet, G Holmes, B Pfahringer, P Kranen, H Kremer, T Jansen, T Seidl
Proceedings of the First Workshop on Applications of Pattern Analysis, 44-50, 2010
Classifier chains for multi-label classification
J Read, B Pfahringer, G Holmes, E Frank
Machine learning 85 (3), 333-359, 2011
Benchmarking attribute selection techniques for discrete class data mining
MA Hall, G Holmes
IEEE Transactions on Knowledge and Data engineering 15 (6), 1437-1447, 2003
Weka: A machine learning workbench
G Holmes, A Donkin, IH Witten
Proceedings of ANZIIS'94-Australian New Zealnd Intelligent Information …, 1994
Data mining in bioinformatics using Weka
E Frank, M Hall, L Trigg, G Holmes, IH Witten
Bioinformatics 20 (15), 2479-2481, 2004
Classifier chains for multi-label classification
J Read, B Pfahringer, G Holmes, E Frank
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
Weka: Practical machine learning tools and techniques with Java implementations
IH Witten, E Frank, LE Trigg, MA Hall, G Holmes, SJ Cunningham
New ensemble methods for evolving data streams
A Bifet, G Holmes, B Pfahringer, R Kirkby, R Gavalda
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
Weka-a machine learning workbench for data mining
E Frank, M Hall, G Holmes, R Kirkby, B Pfahringer, IH Witten, L Trigg
Data mining and knowledge discovery handbook, 1269-1277, 2009
Using model trees for classification
E Frank, Y Wang, S Inglis, G Holmes, IH Witten
Machine learning 32 (1), 63-76, 1998
Multi-label classification using ensembles of pruned sets
J Read, B Pfahringer, G Holmes
2008 eighth IEEE international conference on data mining, 995-1000, 2008
Multinomial naive bayes for text categorization revisited
AM Kibriya, E Frank, B Pfahringer, G Holmes
Australasian Joint Conference on Artificial Intelligence, 488-499, 2004
WEKA---Experiences with a Java Open-Source Project
RR Bouckaert, E Frank, MA Hall, G Holmes, B Pfahringer, P Reutemann, ...
The Journal of Machine Learning Research 11, 2533-2541, 2010
Generating rule sets from model trees
G Holmes, M Hall, E Prank
Australasian joint conference on artificial intelligence, 1-12, 1999
Adaptive random forests for evolving data stream classification
HM Gomes, A Bifet, J Read, JP Barddal, F Enembreck, B Pfharinger, ...
Machine Learning 106 (9), 1469-1495, 2017
Active learning with drifting streaming data
I Žliobaitė, A Bifet, B Pfahringer, G Holmes
IEEE transactions on neural networks and learning systems 25 (1), 27-39, 2013
Leveraging bagging for evolving data streams
A Bifet, G Holmes, B Pfahringer
Joint European conference on machine learning and knowledge discovery in …, 2010
Meka: a multi-label/multi-target extension to weka
J Read, P Reutemann, B Pfahringer, G Holmes
The need for open source software in machine learning
S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...
JMLR 8, 2443-2466, 2007
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