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Johannes Fürnkranz Vis

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*2009
64EEJan-Nikolas Sulzmann, Johannes Fürnkranz: An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules. Discovery Science 2009: 317-331
63EEJohannes Fürnkranz, Eyke Hüllermeier, Stijn Vanderlooy: Binary Decomposition Methods for Multipartite Ranking. ECML/PKDD (1) 2009: 359-374
62EESang-Hyeun Park, Johannes Fürnkranz: Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification. ECML/PKDD (2) 2009: 189-204
61EEImmanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park, Johannes Fürnkranz: An Exploitative Monte-Carlo Poker Agent. KI 2009: 65-72
60EEFrederik Janssen, Johannes Fürnkranz: A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. SDM 2009: 329-340
2008
59EEFrederik Janssen, Johannes Fürnkranz: An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics. Discovery Science 2008: 40-51
58EEEneldo Loza Mencía, Johannes Fürnkranz: Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain. ECML/PKDD (2) 2008: 50-65
57EEEneldo Loza Mencía, Johannes Fürnkranz: Pairwise learning of multilabel classifications with perceptrons. IJCNN 2008: 2899-2906
56 Frederik Janssen, Johannes Fürnkranz: A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. LWA 2008: 42-49
55 Jan-Nikolas Sulzmann, Johannes Fürnkranz: A Comparison of Techniques for Selecting and Combining Class Association Rules. LWA 2008: 87-93
54EEDragan Gamberger, Nada Lavrac, Johannes Fürnkranz: Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. PRICAI 2008: 636-645
53EEEyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker: Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008)
52EEJohannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker: Multilabel classification via calibrated label ranking. Machine Learning 73(2): 133-153 (2008)
2007
51EEJan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier: On Pairwise Naive Bayes Classifiers. ECML 2007: 371-381
50EEEyke Hüllermeier, Johannes Fürnkranz: On Minimizing the Position Error in Label Ranking. ECML 2007: 583-590
49EESang-Hyeun Park, Johannes Fürnkranz: Efficient Pairwise Classification. ECML 2007: 658-665
48EEFrederik Janssen, Johannes Fürnkranz: On Meta-Learning Rule Learning Heuristics. ICDM 2007: 529-534
47 Eneldo Loza Mencía, Johannes Fürnkranz: An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. LWA 2007: 126-132
46 Frederik Janssen, Johannes Fürnkranz: Meta-Learning Rule Learning Heuristics. LWA 2007: 167-174
2006
45 Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou: Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings Springer 2006
44 Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou: Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings Springer 2006
43 Klaus Brinker, Johannes Fürnkranz, Eyke Hüllermeier: A Unified Model for Multilabel Classification and Ranking. ECAI 2006: 489-493
42EEFrederik Janssen, Johannes Fürnkranz: On Trading Off Consistency and Coverage in Inductive Rule Learning. LWA 2006: 306-313
41EEMichael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick: Machine learning and games. Machine Learning 63(3): 211-215 (2006)
2005
40 Mathias Bauer, Boris Brandherm, Johannes Fürnkranz, Gunter Grieser, Andreas Hotho, Andreas Jedlitschka, Alexander Kröner: Lernen, Wissensentdeckung und Adaptivität (LWA) 2005, GI Workshops, Saarbrücken, October 10th-12th, 2005 DFKI 2005
39EEHervé Utard, Johannes Fürnkranz: Link-Local Features for Hypertext Classification. EWMF/KDO 2005: 51-64
38EEEyke Hüllermeier, Johannes Fürnkranz: Learning Label Preferences: Ranking Error Versus Position Error. IDA 2005: 180-191
37 Eyke Hüllermeier, Johannes Fürnkranz, Jürgen Beringer: On Position Error and Label Ranking through Iterated Choice. LWA 2005: 158-163
36 Johannes Fürnkranz: Web Mining. The Data Mining and Knowledge Discovery Handbook 2005: 899-920
35EEJohannes Fürnkranz, Eyke Hüllermeier: Preference Learning. KI 19(1): 60- (2005)
34EEJohannes Fürnkranz, Peter A. Flach: ROC 'n' Rule Learning-Towards a Better Understanding of Covering Algorithms. Machine Learning 58(1): 39-77 (2005)
2004
33EEJohannes Fürnkranz, Peter A. Flach: An Analysis of Stopping and Filtering Criteria for Rule Learning. ECML 2004: 123-133
32 Johannes Fürnkranz: Modeling Rule Precision. LWA 2004: 147-154
31EEJohannes Fürnkranz: From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms. Local Pattern Detection 2004: 20-38
2003
30EEJohannes Fürnkranz, Eyke Hüllermeier: Pairwise Preference Learning and Ranking. ECML 2003: 145-156
29 Johannes Fürnkranz, Peter A. Flach: An Analysis of Rule Evaluation Metrics. ICML 2003: 202-209
28EEPetr Savický, Johannes Fürnkranz: Combining Pairwise Classifiers with Stacking. IDA 2003: 219-229
27EEJohannes Fürnkranz: Round robin ensembles. Intell. Data Anal. 7(5): 385-403 (2003)
2002
26EEJohannes Fürnkranz: A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning. ALT 2002: 263-277
25EEJohannes Fürnkranz: Pairwise Classification as an Ensemble Technique. ECML 2002: 97-110
24EEJohannes Fürnkranz, Christian Holzbaur, Robert Temel: User Profiling for the MELVIL Knowledge Retrieval System. Applied Artificial Intelligence 16(4): 243-281 (2002)
23EEJohannes Fürnkranz: Hyperlink ensembles: a case study in hypertext classification. Information Fusion 3(4): 299-312 (2002)
22EEJohannes Fürnkranz: Round Robin Classification. Journal of Machine Learning Research 2: 721-747 (2002)
2001
21 Johannes Fürnkranz: Round Robin Rule Learning. ICML 2001: 146-153
20EEAlexander K. Seewald, Johannes Fürnkranz: An Evaluation of Grading Classifiers. IDA 2001: 115-124
19EEHendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari: Detecting Temporal Change in Event Sequences: An Application to Demographic Data. PKDD 2001: 29-41
2000
18 Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer: Learning to Use Operational Advice. ECAI 2000: 291-295
17EEKlaus 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)
1999
16EEJohannes Fürnkranz: Exploiting Structural Information for Text Classification on the WWW. IDA 1999: 487-498
15 Johannes Fürnkranz: Separate-and-Conquer Rule Learning. Artif. Intell. Rev. 13(1): 3-54 (1999)
1998
14EEJohannes Fürnkranz, Bernhard Pfahringer: Guest Editorial: First-Order Knowledge Discovery in Databases. Applied Artificial Intelligence 12(5): 345-361 (1998)
13EEJohannes Fürnkranz: Integrative Windowing CoRR cs.AI/9805101: (1998)
12EEJohannes Fürnkranz: Integrative Windowing. J. Artif. Intell. Res. (JAIR) 8: 129-164 (1998)
1997
11 Johannes Fürnkranz: More Efficient Windowing. AAAI/IAAI 1997: 509-514
10 Franz-Günter Winkler, Johannes Fürnkranz: On Effort in AI Research: A Description Along Two Dimensions. Deep Blue Versus Kasparov: The Significance for Artificial Intelligence 1997: 56-62
9 Johannes Fürnkranz: Noise-Tolerant Windowing. IJCAI (2) 1997: 852-859
8EEJohannes Fürnkranz, Johann Petrak, Robert Trappl: Knowledge Discovery in International Conflict Databases. Applied Artificial Intelligence 11(2): 91-118 (1997)
7 Johannes Fürnkranz: Pruning Algorithms for Rule Learning. Machine Learning 27(2): 139-172 (1997)
1996
6 Robert Trappl, Johannes Fürnkranz, Johann Petrak: Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases. ECAI 1996: 453-457
1995
5EEJohannes Fürnkranz: A Tight Integration of Pruning and Learning (Extended Abstract). ECML 1995: 291-294
1994
4 Johannes Fürnkranz: Top-Down Pruning in Relational Learning. ECAI 1994: 453-457
3EEJohannes Fürnkranz: FOSSIL: A Robust Relational Learner. ECML 1994: 122-137
2 Johannes Fürnkranz, Gerhard Widmer: Incremental Reduced Error Pruning. ICML 1994: 70-77
1 Johannes Fürnkranz: A Comparison of Pruning Methods for Relational Concept Learning. KDD Workshop 1994: 371-382

Coauthor Index

1Mathias Bauer [40]
2Jürgen Beringer [37]
3Francesco C. Billari [19]
4Hendrik Blockeel [19]
5Michael H. Bowling [41]
6Boris Brandherm [40]
7Klaus Brinker [43] [52] [53]
8Weiwei Cheng [53]
9Peter A. Flach [29] [33] [34]
10Dragan Gamberger [54]
11Thore Graepel [41]
12Gunter Grieser [40]
13Christian Holzbaur [24]
14Andreas Hotho [40]
15Eyke Hüllermeier [30] [35] [37] [38] [43] [50] [51] [52] [53] [63]
16Frederik Janssen [42] [46] [48] [56] [59] [60]
17Andreas Jedlitschka [40]
18Hermann Kaindl [18]
19Klaus Kovar [17]
20Stefan Kramer [18]
21Alexander Kröner [40]
22Nada Lavrac [54]
23Eneldo Loza Mencía [47] [52] [57] [58]
24Ron Musick [41]
25Kamill Panitzek [61]
26Sang-Hyeun Park [49] [61] [62]
27Johann Petrak [6] [8] [17]
28Bernhard Pfahringer [14] [17] [18]
29Alexia Prskawetz [19]
30Petr Savický [28]
31Tobias Scheffer [44] [45]
32Immanuel Schweizer [61]
33Alexander K. Seewald [20]
34Myra Spiliopoulou [44] [45]
35Jan-Nikolas Sulzmann [51] [55] [64]
36Robert Temel [24]
37Robert Trappl [6] [8] [17]
38Hervé Utard [39]
39Stijn Vanderlooy [63]
40Gerhard Widmer [2] [17]
41Franz-Günter Winkler [10]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)