Frederik Janssen

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Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at
Immanuel SchweizerElectronics Data Officer, Merck KGaAVerified email at merckgroup.com
Loza Mencía, EneldoKnowledge Engineering Group, TU DarmstadtVerified email at eneldo.net
Christoph TrattnerProfessor Data Science & Recommender Systems // Director of MediaFutures @ University of BergenVerified email at uib.no
Martin AtzmuellerProfessor - Osnabrück University & Scientific Director - German Research Center for AI (DFKI)Verified email at uni-osnabrueck.de
Heiko PaulheimProfessor for Data Science at University of Mannheim, GermanyVerified email at informatik.uni-mannheim.de
Alvin ChinRXOVerified email at ieee.org
Christian GuckelsbergerAssistant Professor @Aalto University, Visiting Research Fellow @QMULVerified email at aalto.fi
Max MühlhäuserProfessor of Computer Science, Technische Universität DarmstadtVerified email at informatik.tu-darmstadt.de
Benedikt SchmidtABB AGVerified email at tk.informatik.tu-darmstadt.de
Christian MeurischTU Darmstadt, GermanyVerified email at tk.informatik.tu-darmstadt.de
Sven HertlingResearcher at University of MannheimVerified email at informatik.uni-mannheim.de
Timo NolleTelecooperation, Computer ScienceVerified email at tk.tu-darmstadt.de
Petar RistoskieBayVerified email at ebay.com
Jakob KarolusDFKI and TU KaiserslauternVerified email at dfki.de
Andrei TolstikovMerck KGaAVerified email at merckgroup.com
Markus ZopfTU Darmstadt, GermanyVerified email at ke.tu-darmstadt.de
Dr.-Ing. Axel SchulzDB Fernverkehr AG
Sebastian WagnerTU DarmstadtVerified email at ke.tu-darmstadt.de

Frederik Janssen

TU Darmstadt

Verified email at ke.tu-darmstadt.de - Homepage

Rule Learning Meta Learning Regression Rule Learning Clustering Multilabel Rule Learning


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Deepred–rule extraction from deep neural networks JR Zilke, E Loza Mencía, F Janssen Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016	319	2016
On the quest for optimal rule learning heuristics F Janssen, J Fürnkranz Machine Learning 78, 343-379, 2010	97	2010
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	83	2011
Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and … M Atzmueller, A Chin, F Janssen, I Schweizer, C Trattner Springer, 2016	61	2016
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	46	2016
Heuristic rule-based regression via dynamic reduction to classification F Janssen, J Fürnkranz Twenty-Second International Joint Conference on Artificial Intelligence, 2011	38	2011
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	36	2017
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	28	2009
On meta-learning rule learning heuristics F Janssen, J Furnkranz Seventh IEEE International Conference on Data Mining (ICDM 2007), 529-534, 2007	24	2007
HotMatch results for OEAI 2012. TT Dang, A Gabriel, S Hertling, P Roskosch, M Wlotzka, JR Zilke, ... OM, 2012	22	2012
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	19	2008
Separate-and-conquer Regression. F Janssen, J Fürnkranz LWA, 81-88, 2010	18	2010
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	17	2014
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	17	2013
Shorter rules are better, aren’t they? J Stecher, F Janssen, J Fürnkranz Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016	12	2016
Learning Semantically Coherent Rules A Gabriel, H Paulheim, F Janssen Interactions between Data Mining and Natural Language Processing, 49, 2014	10	2014
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	9	2015
Towards Rule Learning Approaches to Instance-based Ontology Matching. F Janssen, F Fallahi, J Noessner, H Paulheim KNOW@ LOD 868, 13-18, 2012	9	2012
On trading off consistency and coverage in inductive rule learning F Janssen, J Fürnkranz LWA 2006: Lernen–Wissensentdeckung–Adaptivität (9.–11.10. 2006 in Hildesheim …, 2006	9	2006
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	8	2016

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