Frederik Janssen

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	All	Since 2016
Citations	500	311
h-index	11	8
i10-index	13	7

100

2007200820092010201120122013201420152016201720182019202020213 9 4 14 13 47 27 34 30 36 39 59 80 94 3

Co-authors

Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at
Loza Mencía, EneldoKnowledge Engineering Group, TU DarmstadtVerified email at ke.tu-darmstadt.de
Immanuel SchweizerHead of AI Research, Merck KGaAVerified email at merckgroup.com
Heiko PaulheimProfessor for Data Science at University of Mannheim, GermanyVerified email at informatik.uni-mannheim.de
Christian GuckelsbergerPostdoc @ Aalto University / Finnish Centre of AI (FCAI). Visiting Research Fellow @ QMUL.Verified email at aalto.fi
Sven HertlingResearcher at University of MannheimVerified email at informatik.uni-mannheim.de
Martin AtzmuellerProfessor, Computer Science, Osnabrück UniversityVerified email at uni-osnabrueck.de
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
Petar RistoskiIBM Research AlmadenVerified email at ibm.com
Jakob KarolusLudwig-Maximilian University of MunichVerified email at ifi.lmu.de
Timo NolleTelecooperation, Computer ScienceVerified email at tk.tu-darmstadt.de
Christoph TrattnerAssociate Professor of Information Sciences, University of BergenVerified email at uib.no
Alvin ChinBMW Technology CorporationVerified email at bmwna.com
Andrei TolstikovMerck KGaAVerified email at merckgroup.com
Dr.-Ing. Axel SchulzPh.D., DB Mobility Logistics
Sebastian WagnerTU DarmstadtVerified email at ke.tu-darmstadt.de
Markus ZopfTU Darmstadt, GermanyVerified 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, EL Mencía, F Janssen International Conference on Discovery Science, 457-473, 2016	111	2016
On the quest for optimal rule learning heuristics F Janssen, J Fürnkranz Machine Learning 78 (3), 343-379, 2010	83	2010
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	27	2017
Heuristic rule-based regression via dynamic reduction to classification F Janssen, J Fürnkranz Twenty-Second International Joint Conference on Artificial Intelligence, 2011	27	2011
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	26	2016
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	24	2009
On meta-learning rule learning heuristics F Janssen, J Furnkranz Seventh IEEE International Conference on Data Mining (ICDM 2007), 529-534, 2007	22	2007
HotMatch results for OEAI 2012 TT Dang, A Gabriel, S Hertling, P Roskosch, M Wlotzka, JR Zilke, ... Proceedings of the 7th International Workshop on Ontology Matching 946, 145-51, 2012	19	2012
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	17	2008
Separate-and-conquer Regression. F Janssen, J Fürnkranz LWA, 81-88, 2010	16	2010
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	15	2014
Shorter Rules Are Better, Aren’t They? J Stecher, F Janssen, J Fürnkranz International Conference on Discovery Science, 279-294, 2016	10	2016
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	10	2013
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
Stacking label features for learning multilabel rules EL Mencía, F Janssen International Conference on Discovery Science, 192-203, 2014	8	2014
Learning Semantically Coherent Rules A Gabriel, H Paulheim, F Janssen Interactions between Data Mining and Natural Language Processing, 49, 2014	8	2014
On trading off consistency and coverage in inductive rule learning F Janssen, J Fürnkranz	8	2006
The SeCo-framework for rule learning F Janssen, J Fürnkranz Proceedings of the German Workshop on Lernen, Wissen, Adaptivität-LWA2012, 2012	7	2012
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	6	2014
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	5	2016

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