Frederik Janssen
ЗаглавиеПозоваванияГодина
On the quest for optimal rule learning heuristics
F Janssen, J Fürnkranz
Machine Learning 78 (3), 343-379, 2010
762010
DeepRED–Rule extraction from deep neural networks
JR Zilke, EL Mencía, F Janssen
International Conference on Discovery Science, 457-473, 2016
402016
Heuristic rule-based regression via dynamic reduction to classification
F Janssen, J Fürnkranz
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
262011
A re-evaluation of the over-searching phenomenon in inductive rule learning
F Janssen, J Fürnkranz
Proceedings of the 2009 SIAM International Conference on Data Mining, 329-340, 2009
232009
On meta-learning rule learning heuristics
F Janssen, J Furnkranz
Seventh IEEE International Conference on Data Mining (ICDM 2007), 529-534, 2007
232007
HotMatch results for OEAI 2012
TT Dang, A Gabriel, S Hertling, P Roskosch, M Wlotzka, JR Zilke, ...
Proceedings of the 7th International Conference on Ontology Matching-Volume …, 2012
182012
Semantic Abstraction for generalization of tweet classification: An evaluation of incident-related tweets
A Schulz, C Guckelsberger, F Janssen
Semantic Web 8 (3), 353-372, 2017
172017
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach
EL Mencía, F Janssen
Machine Learning 105 (1), 77-126, 2016
172016
An empirical investigation of the trade-off between consistency and coverage in rule learning heuristics
F Janssen, J Fürnkranz
International Conference on Discovery Science, 40-51, 2008
152008
Separating rule refinement and rule selection heuristics in inductive rule learning
J Stecher, F Janssen, J Fürnkranz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
142014
Separate-and-conquer Regression.
F Janssen, J Fürnkranz
LWA, 81-88, 2010
142010
Towards Rule Learning Approaches to Instance-based Ontology Matching.
F Janssen, F Fallahi, J Noessner, H Paulheim
KNOW@ LOD 868, 13-18, 2012
92012
On trading off consistency and coverage in inductive rule learning
F Janssen, J Fürnkranz
82006
Shorter Rules Are Better, Aren’t They?
J Stecher, F Janssen, J Fürnkranz
International Conference on Discovery Science, 279-294, 2016
72016
Stacking label features for learning multilabel rules
EL Mencía, F Janssen
International Conference on Discovery Science, 192-203, 2014
72014
Using data mining on linked open data for analyzing e-procurement information
EL Mencıa, S Holthausen, A Schulz, F Janssen
Proceedings of the International Workshop on Data Mining on Linked Data …, 2013
72013
The SeCo-framework for rule learning
F Janssen, M Zopf
Proceedings of the German Workshop on Lernen, Wissen, Adaptivität-LWA2012, 2012
72012
What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction.
A Schulz, F Janssen
S4SC@ ISWC, 53-67, 2014
62014
Learning Semantically Coherent Rules
A Gabriel, H Paulheim, F Janssen
Interactions between Data Mining and Natural Language Processing, 49, 2014
62014
Predicting cargo train failures: A machine learning approach for a lightweight prototype
S Kauschke, J Fürnkranz, F Janssen
International Conference on Discovery Science, 151-166, 2016
42016
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