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Frederik Janssen
Frederik Janssen
TU Darmstadt
Подтвержден адрес электронной почты в домене ke.tu-darmstadt.de - Главная страница
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Процитировано
Год
Deepred–rule extraction from deep neural networks
JR Zilke, E Loza Mencía, F Janssen
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
3472016
On the quest for optimal rule learning heuristics
F Janssen, J Fürnkranz
Machine Learning 78, 343-379, 2010
1002010
ICIAP: International Conference on Image Analysis and Processing, 17th International Conference, Naples, Italy, September 9-13, 2013. Proceedings
M ATZMUELLER, C ALVIN, F JANSSEN, I SCHWEIZER, C TRATTNER
vol 6881, 12, 2011
832011
Big Data Analytics in the Social and Ubiquitous Context
M Atzmueller, A Ernst, F Krebs, C Scholz, G Stumme
5th International Workshop on Modeling Social Media, MSM 2014. 5th …, 2014
642014
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach
E Loza Mencía, F Janssen
Machine Learning 105, 77-126, 2016
482016
Heuristic rule-based regression via dynamic reduction to classification
F Janssen, J Fürnkranz
IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011
412011
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, 2016
402016
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
282009
On meta-learning rule learning heuristics
F Janssen, J Furnkranz
Seventh IEEE International Conference on Data Mining (ICDM 2007), 529-534, 2007
252007
HotMatch results for OEAI 2012.
TT Dang, A Gabriel, S Hertling, P Roskosch, M Wlotzka, JR Zilke, ...
OM, 2012
222012
Separate-and-conquer Regression.
F Janssen, J Fürnkranz
LWA, 81-88, 2010
192010
Using data mining on linked open data for analyzing e-procurement information
EL Mencıa, S Holthausen, A Schulz, F Janssen
Proceedings of the first DMoLD: data mining on linked data workshop at ECML/PKDD, 2013
182013
An empirical investigation of the trade-off between consistency and coverage in rule learning heuristics
F Janssen, J Fürnkranz
Discovery Science: 11th International Conference, DS 2008, Budapest, Hungary …, 2008
182008
Separating rule refinement and rule selection heuristics in inductive rule learning
J Stecher, F Janssen, J Fürnkranz
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
172014
Shorter rules are better, aren’t they?
J Stecher, F Janssen, J Fürnkranz
International conference on discovery science, 279-294, 2016
132016
Learning Semantically Coherent Rules
A Gabriel, H Paulheim, F Janssen
Interactions between Data Mining and Natural Language Processing, 49, 2014
102014
Predicting cargo train failures: a machine learning approach for a lightweight prototype
S Kauschke, J Fürnkranz, F Janssen
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
92016
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.
S Kauschke, F Janssen, I Schweizer, R Bergmann, S Gürg, G Miiller
LWA, 121-132, 2015
92015
Stacking label features for learning multilabel rules
E Loza Mencía, F Janssen
Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014
92014
Towards Rule Learning Approaches to Instance-based Ontology Matching.
F Janssen, F Fallahi, J Noessner, H Paulheim
KNOW@ LOD 868, 13-18, 2012
92012
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