 | 2009 |
|---|
| 64 |       | Jan-Nikolas Sulzmann,
Johannes Fürnkranz:
An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules.
Discovery Science 2009: 317-331 |
| 63 | | Johannes Fürnkranz,
Eyke Hüllermeier,
Stijn Vanderlooy:
Binary Decomposition Methods for Multipartite Ranking.
ECML/PKDD (1) 2009: 359-374 |
| 62 | | Sang-Hyeun Park,
Johannes Fürnkranz:
Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification.
ECML/PKDD (2) 2009: 189-204 |
| 61 | | Immanuel Schweizer,
Kamill Panitzek,
Sang-Hyeun Park,
Johannes Fürnkranz:
An Exploitative Monte-Carlo Poker Agent.
KI 2009: 65-72 |
| 60 | | Frederik Janssen,
Johannes Fürnkranz:
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
SDM 2009: 329-340 |
| 2008 |
|---|
| 59 | | Frederik Janssen,
Johannes Fürnkranz:
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics.
Discovery Science 2008: 40-51 |
| 58 | | Eneldo Loza Mencía,
Johannes Fürnkranz:
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.
ECML/PKDD (2) 2008: 50-65 |
| 57 | | Eneldo 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 |
| 54 | | Dragan Gamberger,
Nada Lavrac,
Johannes Fürnkranz:
Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.
PRICAI 2008: 636-645 |
| 53 | | Eyke Hüllermeier,
Johannes Fürnkranz,
Weiwei Cheng,
Klaus Brinker:
Label ranking by learning pairwise preferences.
Artif. Intell. 172(16-17): 1897-1916 (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 |
