Johannes Fürnkranz

	2012
91		Sang-Hyeun Park, Johannes Fürnkranz: Efficient prediction algorithms for binary decomposition techniques. Data Min. Knowl. Discov. 24(1): 40-77 (2012)
	2011
90		Eyke Hüllermeier, Johannes Fürnkranz: Learning from Label Preferences. ALT 2011: 38
89		Eyke Hüllermeier, Johannes Fürnkranz: Learning from Label Preferences. Discovery Science 2011: 2-17
88		Jan-Nikolas Sulzmann, Johannes Fürnkranz: Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier. Discovery Science 2011: 323-334
87		Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park: Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning. ECML/PKDD (1) 2011: 312-327
86		Frederik Janssen, Johannes Fürnkranz: Heuristic Rule-Based Regression via Dynamic Reduction to Classification. IJCAI 2011: 1330-1335
85		Lars Wohlrab, Johannes Fürnkranz: A review and comparison of strategies for handling missing values in separate-and-conquer rule learning. J. Intell. Inf. Syst. 36(1): 73-98 (2011)
	2010
84		Johannes Fürnkranz, Thorsten Joachims: Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel Omnipress 2010
83		Sang-Hyeun Park, Lorenz Weizsäcker, Johannes Fürnkranz: Exploiting Code Redundancies in ECOC. Discovery Science 2010: 266-280
82		Eneldo Loza Mencía, Johannes Fürnkranz: Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. Semantic Processing of Legal Texts 2010: 192-215
81		Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger: Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. Advances in Machine Learning I 2010: 121-146
80		Johannes Fürnkranz: Web Mining. Data Mining and Knowledge Discovery Handbook 2010: 913-929
79		Johannes Fürnkranz: Decision List. Encyclopedia of Machine Learning 2010: 261
78		Johannes Fürnkranz: Decision Lists and Decision Trees. Encyclopedia of Machine Learning 2010: 261-262
77		Johannes Fürnkranz: Decision Tree. Encyclopedia of Machine Learning 2010: 263-267
76		Johannes Fürnkranz: Machine Learning and Game Playing. Encyclopedia of Machine Learning 2010: 633-637
75		Johannes Fürnkranz, Eyke Hüllermeier: Preference Learning. Encyclopedia of Machine Learning 2010: 789-795
74		Johannes Fürnkranz: Pruning. Encyclopedia of Machine Learning 2010: 817
73		Johannes Fürnkranz: Rule Learning. Encyclopedia of Machine Learning 2010: 875-879
72		Marco Ghiglieri, Johannes Fürnkranz: Learning to Recognize Missing E-Mail Attachments. Applied Artificial Intelligence 24(5): 443-462 (2010)
71		Johannes Fürnkranz, Arno J. Knobbe: Guest Editorial: Global modeling using local patterns. Data Min. Knowl. Discov. 21(1): 1-8 (2010)
70		Eyke Hüllermeier, Johannes Fürnkranz: On predictive accuracy and risk minimization in pairwise label ranking. J. Comput. Syst. Sci. 76(1): 49-62 (2010)
69		Frederik Janssen, Johannes Fürnkranz: On the quest for optimal rule learning heuristics. Machine Learning 78(3): 343-379 (2010)
68		Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz: Efficient voting prediction for pairwise multilabel classification. Neurocomputing 73(7-9): 1164-1176 (2010)
67		Johannes Fürnkranz, Jan Frederik Sima: On exploiting hierarchical label structure with pairwise classifiers. SIGKDD Explorations 12(2): 21-25 (2010)
	2009
66		Jan-Nikolas Sulzmann, Johannes Fürnkranz: An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules. Discovery Science 2009: 317-331
65		Johannes Fürnkranz, Eyke Hüllermeier, Stijn Vanderlooy: Binary Decomposition Methods for Multipartite Ranking. ECML/PKDD (1) 2009: 359-374
64		Sang-Hyeun Park, Johannes Fürnkranz: Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification. ECML/PKDD (2) 2009: 189-204
63		Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz: Efficient voting prediction for pairwise multilabel classification. ESANN 2009
62		Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park, Johannes Fürnkranz: An Exploitative Monte-Carlo Poker Agent. KI 2009: 65-72
61		Frederik Janssen, Johannes Fürnkranz: A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. SDM 2009: 329-340
	2008
60		Frederik Janssen, Johannes Fürnkranz: An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics. Discovery Science 2008: 40-51
59		Eneldo Loza Mencía, Johannes Fürnkranz: Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain. ECML/PKDD (2) 2008: 50-65
58		Eneldo Loza Mencía, Johannes Fürnkranz: Pairwise learning of multilabel classifications with perceptrons. IJCNN 2008: 2899-2906
57		Frederik Janssen, Johannes Fürnkranz: A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. LWA 2008: 42-49
56		Jan-Nikolas Sulzmann, Johannes Fürnkranz: A Comparison of Techniques for Selecting and Combining Class Association Rules. LWA 2008: 87-93
55		Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz: Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. PRICAI 2008: 636-645
54		Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker: Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008)
53		Sacha Droste, Johannes Fürnkranz: Learning the Piece Values for Three Chess Variants. ICGA Journal 31(4): 209-233 (2008)
52		Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker: Multilabel classification via calibrated label ranking. Machine Learning 73(2): 133-153 (2008)
	2007
51		Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier: On Pairwise Naive Bayes Classifiers. ECML 2007: 371-381
50		Eyke Hüllermeier, Johannes Fürnkranz: On Minimizing the Position Error in Label Ranking. ECML 2007: 583-590
49		Sang-Hyeun Park, Johannes Fürnkranz: Efficient Pairwise Classification. ECML 2007: 658-665
48		Frederik 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
42		Frederik Janssen, Johannes Fürnkranz: On Trading Off Consistency and Coverage in Inductive Rule Learning. LWA 2006: 306-313
41		Michael 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
39		Hervé Utard, Johannes Fürnkranz: Link-Local Features for Hypertext Classification. EWMF/KDO 2005: 51-64
38		Eyke 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
35		Johannes Fürnkranz, Eyke Hüllermeier: Preference Learning. KI 19(1): 60- (2005)
34		Johannes Fürnkranz, Peter A. Flach: ROC 'n' Rule Learning-Towards a Better Understanding of Covering Algorithms. Machine Learning 58(1): 39-77 (2005)
	2004
33		Johannes 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
31		Johannes Fürnkranz: From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms. Local Pattern Detection 2004: 20-38
	2003
30		Johannes 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
28		Petr Savický, Johannes Fürnkranz: Combining Pairwise Classifiers with Stacking. IDA 2003: 219-229
27		Johannes Fürnkranz: Round robin ensembles. Intell. Data Anal. 7(5): 385-403 (2003)
	2002
26		Johannes Fürnkranz: A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning. ALT 2002: 263-277
25		Johannes Fürnkranz: Pairwise Classification as an Ensemble Technique. ECML 2002: 97-110
24		Johannes Fürnkranz, Christian Holzbaur, Robert Temel: User Profiling for the MELVIL Knowledge Retrieval System. Applied Artificial Intelligence 16(4): 243-281 (2002)
23		Johannes Fürnkranz: Hyperlink ensembles: a case study in hypertext classification. Information Fusion 3(4): 299-312 (2002)
22		Johannes 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
20		Alexander K. Seewald, Johannes Fürnkranz: An Evaluation of Grading Classifiers. IDA 2001: 115-124
19		Hendrik 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
17		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)
	1999
16		Johannes 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
14		Johannes Fürnkranz, Bernhard Pfahringer: Guest Editorial: First-Order Knowledge Discovery in Databases. Applied Artificial Intelligence 12(5): 345-361 (1998)
13		Johannes Fürnkranz: Integrative Windowing CoRR cs.AI/9805101: (1998)
12		Johannes 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
8		Johannes 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
5		Johannes 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
3		Johannes 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

1	Mathias Bauer	[40]
2	Jürgen Beringer	[37]
3	Francesco C. Billari	[19]
4	Hendrik Blockeel	[19]
5	Michael H. Bowling	[41]
6	Boris Brandherm	[40]
7	Klaus Brinker	[43] [52] [54]
8	Weiwei Cheng	[54] [87]
9	Sacha Droste	[53]
10	Peter A. Flach	[29] [33] [34]
11	Dragan Gamberger	[55] [81]
12	Marco Ghiglieri	[72]
13	Thore Graepel	[41]
14	Gunter Grieser	[40]
15	Christian Holzbaur	[24]
16	Andreas Hotho	[40]
17	Eyke Hüllermeier	[30] [35] [37] [38] [43] [50] [51] [52] [54] [65] [70] [75] [87] [89] [90]
18	Frederik Janssen	[42] [46] [48] [57] [60] [61] [69] [86]
19	Andreas Jedlitschka	[40]
20	Thorsten Joachims	[84]
21	Hermann Kaindl	[18]
22	Arno J. Knobbe	[71]
23	Klaus Kovar	[17]
24	Stefan Kramer	[18]
25	Alexander Kröner	[40]
26	Nada Lavrac	[55] [81]
27	Eneldo Loza Mencía	[47] [52] [58] [59] [63] [68] [82]
28	Ron Musick	[41]
29	Kamill Panitzek	[62]
30	Sang-Hyeun Park	[49] [62] [63] [64] [68] [83] [87] [91]
31	Johann Petrak	[6] [8] [17]
32	Bernhard Pfahringer	[14] [17] [18]
33	Alexia Prskawetz	[19]
34	Petr Savický	[28]
35	Tobias Scheffer	[44] [45]
36	Immanuel Schweizer	[62]
37	Alexander K. Seewald	[20]
38	Jan Frederik Sima	[67]
39	Myra Spiliopoulou	[44] [45]
40	Jan-Nikolas Sulzmann	[51] [56] [66] [88]
41	Robert Temel	[24]
42	Robert Trappl	[6] [8] [17]
43	Hervé Utard	[39]
44	Stijn Vanderlooy	[65]
45	Lorenz Weizsäcker	[83]
46	Gerhard Widmer	[2] [17]
47	Franz-Günter Winkler	[10]
48	Lars Wohlrab	[85]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page