Bernhard Pfahringer
Bernhard Pfahringer
Professor of Computer Science, University of Waikato
Verified email at waikato.ac.nz - Homepage
TitleCited byYear
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
191762009
Moa: Massive online analysis
A Bifet, G Holmes, R Kirkby, B Pfahringer
Journal of Machine Learning Research 11 (May), 1601-1604, 2010
12102010
Classifier chains for multi-label classification
J Read, B Pfahringer, G Holmes, E Frank
Machine learning 85 (3), 333, 2011
10502011
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
5602009
New ensemble methods for evolving data streams
A Bifet, G Holmes, B Pfahringer, R Kirkby, R Gavaldà
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
5352009
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
4272009
Meta-Learning by Landmarking Various Learning Algorithms.
B Pfahringer, H Bensusan, CG Giraud-Carrier
ICML, 743-750, 2000
3932000
WEKA−Experiences with a Java Open-Source Project
RR Bouckaert, E Frank, MA Hall, G Holmes, B Pfahringer, P Reutemann, ...
Journal of Machine Learning Research 11 (Sep), 2533-2541, 2010
3532010
Locally weighted naive bayes
E Frank, M Hall, B Pfahringer
Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002
3482002
Multi-label classification using ensembles of pruned sets
J Read, B Pfahringer, G Holmes
8th IEEE international conference on data mining, 995-1000, 2008
3282008
Multinomial naive bayes for text categorization revisited
AM Kibriya, E Frank, B Pfahringer, G Holmes
Australasian Joint Conference on Artificial Intelligence, 488-499, 2004
2792004
Winning the KDD99 classification cup: bagged boosting
B Pfahringer
SIGKDD explorations 1 (2), 65-66, 2000
2522000
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
2242013
Multiclass alternating decision trees
G Holmes, B Pfahringer, R Kirkby, E Frank, M Hall
European Conference on Machine Learning, 161-172, 2002
1912002
Leveraging bagging for evolving data streams
A Bifet, G Holmes, B Pfahringer
Joint European conference on machine learning and knowledge discovery in …, 2010
1802010
A two-level learning method for generalized multi-instance problems
N Weidmann, E Frank, B Pfahringer
European Conference on Machine Learning, 468-479, 2003
1712003
Prediction of ordinal classes using regression trees
S Kramer, G Widmer, B Pfahringer, M De Groeve
Fundamenta Informaticae 47 (1-2), 1-13, 2001
1512001
Meka: a multi-label/multi-target extension to weka
J Read, P Reutemann, B Pfahringer, G Holmes
The Journal of Machine Learning Research 17 (1), 667-671, 2016
1492016
New options for hoeffding trees
B Pfahringer, G Holmes, R Kirkby
Australasian Joint Conference on Artificial Intelligence, 90-99, 2007
1462007
Compression-based discretization of continuous attributes
B Pfahringer
Machine Learning Proceedings 1995, 456-463, 1995
1301995
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Articles 1–20