Bernhard Pfahringer
Bernhard Pfahringer
Professor of Computer Science, University of Waikato
Verified email at waikato.ac.nz - Homepage
Title
Cited by
Cited by
Year
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
231002009
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
17582010
Classifier chains for multi-label classification
J Read, B Pfahringer, G Holmes, E Frank
Machine learning 85 (3), 333-359, 2011
16402011
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
8012009
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
6832009
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
5942009
Meta-Learning by Landmarking Various Learning Algorithms.
B Pfahringer, H Bensusan, CG Giraud-Carrier
ICML, 743-750, 2000
4612000
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
4522008
Multinomial naive bayes for text categorization revisited
AM Kibriya, E Frank, B Pfahringer, G Holmes
Australasian Joint Conference on Artificial Intelligence, 488-499, 2004
4472004
Locally weighted naive bayes
E Frank, M Hall, B Pfahringer
arXiv preprint arXiv:1212.2487, 2012
4352012
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
4082010
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
3192013
Leveraging bagging for evolving data streams
A Bifet, G Holmes, B Pfahringer
Joint European conference on machine learning and knowledge discovery in …, 2010
3072010
Winning the KDD99 classification cup: Bagged boosting
B Pfahringer
ACM SIGKDD Explorations Newsletter 1 (2), 65-66, 2000
2992000
Meka: a multi-label/multi-target extension to weka
J Read, P Reutemann, B Pfahringer, G Holmes
2432016
Multiclass alternating decision trees
G Holmes, B Pfahringer, R Kirkby, E Frank, M Hall
European Conference on Machine Learning, 161-172, 2002
2262002
A two-level learning method for generalized multi-instance problems
N Weidmann, E Frank, B Pfahringer
European Conference on Machine Learning, 468-479, 2003
1942003
New options for hoeffding trees
B Pfahringer, G Holmes, R Kirkby
Australasian Joint Conference on Artificial Intelligence, 90-99, 2007
1842007
Regularisation of neural networks by enforcing lipschitz continuity
H Gouk, E Frank, B Pfahringer, MJ Cree
Machine Learning 110 (2), 393-416, 2021
1662021
Prediction of ordinal classes using regression trees
S Kramer, G Widmer, B Pfahringer, M De Groeve
Fundamenta Informaticae 47 (1-2), 1-13, 2001
1662001
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