Bernhard Pfahringer

	2009
54		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà: Improving Adaptive Bagging Methods for Evolving Data Streams. ACML 2009: 23-37
53		Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank: Classifier Chains for Multi-label Classification. ECML/PKDD (2) 2009: 254-269
52		Grant Anderson, Bernhard Pfahringer: Relational Random Forests Based on Random Relational Rules. IJCAI 2009: 986-991
51		Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà: New ensemble methods for evolving data streams. KDD 2009: 139-148
	2008
50		Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes: Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. Australasian Conference on Artificial Intelligence 2008: 278-288
49		Xing Wu, Geoffrey Holmes, Bernhard Pfahringer: Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. Australasian Conference on Artificial Intelligence 2008: 355-361
48		Jesse Read, Bernhard Pfahringer, Geoffrey Holmes: Multi-label Classification Using Ensembles of Pruned Sets. ICDM 2008: 995-1000
47		Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes: Organizing the World's Machine Learning Information. ISoLA 2008: 693-708
46		Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: Handling Numeric Attributes in Hoeffding Trees. PAKDD 2008: 296-307
45		Grant Anderson, Bernhard Pfahringer: Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning. PAKDD 2008: 494-502
44		Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes: Learning from the Past with Experiment Databases. PRICAI 2008: 485-496
	2007
43		Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: New Options for Hoeffding Trees. Australian Conference on Artificial Intelligence 2007: 90-99
42		Grant Anderson, Bernhard Pfahringer: Clustering Relational Data Based on Randomized Propositionalization. ILP 2007: 39-48
41		Bernhard Pfahringer, Claire Leschi, Peter Reutemann: Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant. PAKDD 2007: 236-247
	2006
40		Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi: Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. PAKDD 2006: 60-69
39		Eibe Frank, Bernhard Pfahringer: Improving on Bagging with Input Smearing. PAKDD 2006: 97-106
	2005
38		Stefan Kramer, Bernhard Pfahringer: Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings Springer 2005
37		Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby: Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. CITA 2005: 130-36
36		Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: Stress-Testing Hoeffding Trees. PKDD 2005: 495-502
35		Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 1305-1314
	2004
34		Peter Reutemann, Bernhard Pfahringer, Eibe Frank: A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. Australian Conference on Artificial Intelligence 2004: 1017-1023
33		Mi Li, Geoffrey Holmes, Bernhard Pfahringer: Clustering Large Datasets Using Cobweb and K-Means in Tandem. Australian Conference on Artificial Intelligence 2004: 368-379
32		Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes: Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence 2004: 488-499
31		Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments In Predicting Biodegradability. Applied Artificial Intelligence 18(2): 157-181 (2004)
30		Bernhard Pfahringer: The Weka solution to the 2004 KDD Cup. SIGKDD Explorations 6(2): 117-119 (2004)
	2003
29		Nils Weidmann, Eibe Frank, Bernhard Pfahringer: A Two-Level Learning Method for Generalized Multi-instance Problems. ECML 2003: 468-479
28		Maximilien Sauban, Bernhard Pfahringer: Text Categorisation Using Document Profiling. PKDD 2003: 411-422
27		Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. UAI 2003: 249-256
	2002
26		Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass Alternating Decision Trees. ECML 2002: 161-172
25		Roger Clayton, John G. Cleary, Bernhard Pfahringer, Mark Utting: Tabling Structures for Bottom-Up Logic Programming. LOPSTR 2002: 50-51
	2001
24		Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger: Wrapping Boosters against Noise. Australian Joint Conference on Artificial Intelligence 2001: 402-413
23		Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: Optimizing the Induction of Alternating Decision Trees. PAKDD 2001: 477-487
22		Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. Fundam. Inform. 47(1-2): 1-13 (2001)
	2000
21		Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer: Learning to Use Operational Advice. ECAI 2000: 291-295
20		Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier: Meta-Learning by Landmarking Various Learning Algorithms. ICML 2000: 743-750
19		Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. ISMIS 2000: 426-434
18		Klaus Kovar, Johannes Fürnkranz, Johann Petrak, Bernhard Pfahringer, Robert Trappl, Gerhard Widmer: Searching for Patterns in Political Event Sequences: Experiments with the Keds Database. Cybernetics and Systems 31(6): 649-668 (2000)
17		Bernhard Pfahringer: Winning the KDD99 Classification Cup: Bagged Boosting. SIGKDD Explorations 1(2): 65-66 (2000)
	1999
16		Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91
	1998
15		Stefan Kramer, Bernhard Pfahringer, Christopher Helma: Stochastic Propositionalization of Non-determinate Background Knowledge. ILP 1998: 80-94
14		Johannes Fürnkranz, Bernhard Pfahringer: Guest Editorial: First-Order Knowledge Discovery in Databases. Applied Artificial Intelligence 12(5): 345-361 (1998)
	1997
13		Bernhard Pfahringer: Compression-Based Pruning of Decision Lists. ECML 1997: 199-212
12		Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. KDD 1997: 223-226
	1996
11		Stefan Kramer, Bernhard Pfahringer: Efficient Search for Strong Partial Determinations. KDD 1996: 371-374
	1995
10		Bernhard Pfahringer: A New MDL Measure for Robust Rule Induction (Extended Abstract). ECML 1995: 331-334
9		Bernhard Pfahringer: Compression-Based Discretization of Continuous Attributes. ICML 1995: 456-463
8		Bernhard Pfahringer, Stefan Kramer: Compression-Based Evaluation of Partial Determinations. KDD 1995: 234-239
	1994
7		Bernhard Pfahringer: Controlling Constructive Induction in CIPF: An MDL Approach. ECML 1994: 242-256
6		Bernhard Pfahringer: Robust Constructive Induction. KI 1994: 118-129
	1992
5		Bernhard Pfahringer: The Logical Way to Build a DL-based KR System. Description Logics 1992: 76-77
	1991
4		Ernst Buchberger, Elizabeth Garner, Wolfgang Heinz, Johannes Matiasek, Bernhard Pfahringer: VIE-DU: Dialogue by Unification. ÖGAI 1991: 42-51
	1989
3		Bernhard Pfahringer: Extending Explanation-Based Generalization. ÖGAI 1989: 149-153
	1988
2		Bernhard Pfahringer, M. Hoberstorfer, Robert Trappl: A decision support system for village health workers in developing countries. Applied Artificial Intelligence 2(1): 47-63 (1988)
	1985
1		Bernhard Pfahringer, Christian Holzbaur: VIE-KET: Frames + Prolog. ÖGAI 1985: 132-139

Coauthor Index

1	Grant Anderson	[42] [45] [52]
2	Hilan Bensusan	[20]
3	Albert Bifet	[51] [54]
4	Hendrik Blockeel	[16] [31] [47]
5	Ernst Buchberger	[4]
6	Roger Clayton	[25]
7	John G. Cleary	[25]
8	Kurt Driessens	[40]
9	Saso Dzeroski	[16] [31]
10	Eibe Frank	[26] [27] [29] [32] [34] [35] [39] [53]
11	Johannes Fürnkranz	[14] [18] [21]
12	Elizabeth Garner	[4]
13	Ricard Gavaldà	[51] [54]
14	Christophe G. Giraud-Carrier	[20]
15	Michael de Groeve	[19] [22]
16	Mark A. Hall (Mark Hall)	[26] [27] [35]
17	Wolfgang Heinz	[4]
18	Christoph Helma	[12]
19	Christopher Helma	[15]
20	M. Hoberstorfer	[2]
21	Geoffrey Holmes	[23] [24] [26] [32] [33] [35] [36] [37] [43] [44] [46] [47] [48] [49] [50] [51] [53] [54]
22	Christian Holzbaur	[1]
23	Hermann Kaindl	[21]
24	Ashraf M. Kibriya	[32]
25	Richard Kirkby	[23] [26] [35] [36] [37] [43] [46] [51]
26	Boris Kompare	[16] [31]
27	Klaus Kovar	[18]
28	Stefan Kramer	[8] [11] [12] [15] [16] [19] [21] [22] [31] [38]
29	Wim Van Laer	[16] [31]
30	Claire Leschi	[40] [41]
31	Mi Li	[33]
32	Johannes Matiasek	[4]
33	Stefan Mutter	[50]
34	Johann Petrak	[18]
35	Jesse Read	[48] [53]
36	Peter Reutemann	[34] [40] [41]
37	Maximilien Sauban	[28]
38	Gabi Schmidberger	[24]
39	Robert Trappl	[2] [18]
40	Mark Utting	[25]
41	Joaquin Vanschoren	[44] [47]
42	Nils Weidmann	[29]
43	Gerhard Widmer	[18] [19] [22]
44	Xing Wu	[49]

Colors in the list of coauthors