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Number of items: 46.

Meurisch, Christian ; Gogel, Artur ; Schmidt, Benedikt ; Nolle, Timo ; Janssen, Frederik ; Schweizer, Immanuel ; Mühlhäuser, Max (2017):
Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones.
In: 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous),
ACM, [Conference or Workshop Item]

Kauschke, Sebastian ; Fürnkranz, Johannes ; Janssen, Frederik (2016):
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype.
In: Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings, pp. 151-166,
Cham, Springer, Bari, Italy, October 19–21, 2016, ISBN 978-3-319-46306-3,
DOI: 10.1007/978-3-319-46307-0_10,
[Conference or Workshop Item]

Meurisch, Christian ; Naeem, Usman ; Azam, Muhammad Awais ; Janssen, Frederik ; Schmidt, Benedikt ; Mühlhäuser, Max (2016):
Smarticipation2016: First Workshop on Intelligent Personal Guidance of Human Behavior Utilizing Anticipatory Models.
In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16): Adjunct Publication, pp. 1227-1230,
ACM, Heidelberg, [Conference or Workshop Item]

Zilke, Jan Ruben ; Loza Mencía, Eneldo ; Janssen, Frederik (2016):
DeepRED - Rule Extraction from Deep Neural Networks.
In: Discovery Science 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings, pp. 457-473,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Janssen, Frederik (2016):
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach.
In: Machine Learning, 105 (1), p. 77. DOI: 10.1007/s10994-016-5552-1,
[Article]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel (2015):
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.
KDML: Workshop on Knowledge Discovery, Data Mining and Machine Learning, Trier, [Conference or Workshop Item]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel (2015):
Advances in Predictive Maintenance for a Railway Scenario - Project Techlok.
[Report]

Schulz, Axel ; Janssen, Frederik ; Ristoski, Petar ; Fürnkranz, Johannes (2015):
Event-Based Clustering for Reducing Labeling Costs of Event-Related Microposts.
pp. 686-690, AAAI Press, Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM2015), [Conference or Workshop Item]

Schulz, Axel ; Karolus, Jakob ; Janssen, Frederik ; Schweizer, Immanuel (2015):
Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data.
In: Proceedings of the International Conference on Networked Systems (NetSys2015), pp. 121-128,
Piscataway, NJ, IEEE, International Conference and Workshops on Networked Systems (NetSys), Cottbus, 9-12 March 2015, ISBN 978-1-4799-5804-7,
DOI: 10.1109/NetSys.2015.7089079,
[Conference or Workshop Item]

Schulz, Axel ; Ristoski, Petar ; Fürnkranz, Johannes ; Janssen, Frederik (2015):
Event-Based Clustering for Reducing Labeling Costs of Incident-Related Microposts.
pp. 44-52, CEUR workshop proceedings, Proceedings of the 2nd International Workshop on Mining Urban Data co-located with the 32nd International Conference on Machine Learning, July, 11th, ISSN 1613-0073,
[Conference or Workshop Item]

Paulheim, Heiko ; Schulz, Axel ; Janssen, Frederik ; Ristoski, Petar ; Schweizer, Immanuel
Ege, Börteçin ; Humm, Bernhard ; Reibold, Anatol (eds.) (2015):
Intelligente Datenauswertung mit Linked Open Data.
In: Corporate Semantic Web: Wie semantische Anwendungen in Unternehmen Nutzen stiften, pp. 187-201, Springer-Verlag Berlin Heidelberg, Springer Vieweg, ISBN 978-3642548857,
[Book Section]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel
Bergmann, Ralph ; Görg, Sebastian ; Müller, Gilbert (eds.) (2015):
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.
In: CEUR Workshop Proceedings, 1458, In: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., pp. 121-132,
LWA 2015 conference, Trier, Germany, October 7-9, 2015, [Conference or Workshop Item]

Schulz, Axel ; Guckelsberger, Christian ; Janssen, Frederik (2015):
Semantic Abstraction for generalization of tweet classification: An evaluation on incident-relatedtweets.
In: Semantic Web, pp. 1--21. [Article]

Gabriel, Alexander ; Paulheim, Heiko ; Janssen, Frederik
Cellier, Peggy ; Charnois, Thierry ; Hotho, Andreas ; Matwin, Stan ; Moens, Marie-Francine ; Toussaint, Yannick (eds.) (2014):
Learning Semantically Coherent Rules.
1202, pp. 49-63, Nancy, France, CEUR Workshop Proceedings, Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France, ISSN 1613-0073,
[Conference or Workshop Item]

Stecher, Julius ; Janssen, Frederik ; Fürnkranz, Johannes
Calders, Toon ; Esposito, Floriana ; Hüllermeier, Eyke ; Meo, Rosa (eds.) (2014):
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning.
In: Lecture Notes in Computer Science, 8726, pp. 114-129, Nancy, France, Springer, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 3, Nancy, France, ISBN 978-3-662-44844-1,
[Conference or Workshop Item]

Nolle, Timo ; Schweizer, Immanuel ; Janssen, Frederik (2014):
Data-driven Detection of Congestion-affected Roads.
[Report]

Kauschke, Sebastian ; Schweizer, Immanuel ; Fiebrig, Michael ; Janssen, Frederik
Seidl, Thomas ; Hassani, Marwan ; Beecks, Christian (eds.) (2014):
Learning to Predict Component Failures in Trains.
In: CEUR workshop proceedings, 1226, In: LWA 2014 Workshops KDML, IR and FGWM : proceedings of the 16th LWA Workshops, pp. 71-82,
Aachen, Germany, 16th LWA Workshops : KDML, IR and FGWM, Aachen, Germany, September 8 - 10, 2014, [Conference or Workshop Item]

Loza Mencía, Eneldo ; Janssen, Frederik
Džeroski, Sašo ; Panov, Panče ; Kocev, Dragi ; Todorovski, Ljupčo (eds.) (2014):
Stacking Label Features for Learning Multilabel Rules.
In: Lecture Notes in Computer Science, 8777, In: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings, pp. 192-203, Springer, ISBN 978-3-319-11811-6,
[Book Section]

Schulz, Axel ; Janssen, Frederik (2014):
What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction.
pp. 53-67, Proceedings of the Fifth Workshop on Semantics for Smarter Cities (a Workshop at the 13th International Semantic Web Conference (ISWC 2014)), [Conference or Workshop Item]

Schulz, Axel ; Janssen, Frederik ; Karolus, Jakob ; Schweizer, Immanuel (2013):
Creating Noise Pollution Maps Based on User-generated Noise Data.
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Janssen, Frederik
Henrich, Andreas ; Sperker, Hans-Christian (eds.) (2013):
Towards Multilabel Rule Learning.
pp. 155-158, Bamberg, Germany, Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, Bamberg, Germany, [Conference or Workshop Item]

Loza Mencía, Eneldo ; Holthausen, Simon ; Schulz, Axel ; Janssen, Frederik (2013):
Using Data Mining on Linked Open Data for Analyzing E-Procurement Information.
Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD2013, [Conference or Workshop Item]

Janssen, Frederik (2012):
Heuristic Rule Learning.
Darmstadt, TU Darmstadt / Knowledge Engineering,
[Ph.D. Thesis]

Janssen, Frederik (2012):
Heuristic Rule Learning.
TU Darmstadt, Knowledge Engineering Group,
[Ph.D. Thesis]

Dang, Thanh Tung ; Gabriel, Alexander ; Hertling, Sven ; Roskosch, Philipp ; Wlotzka, Marcel ; Zilke, Jan Ruben ; Janssen, Frederik ; Paulheim, Heiko (2012):
HotMatch results for OEAI 2012.
Seventh International Workshop on Ontology Matching (OM 2012), [Conference or Workshop Item]

Janssen, Frederik ; Zopf, Markus (2012):
The SeCo-Framework for Rule Learning.
Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2012, [Conference or Workshop Item]

Janssen, Frederik ; Fallahi, Faraz ; Noessner, Jan ; Paulheim, Heiko (2012):
Towards Rule Learning Approaches to Instance-based Ontology Matching.
pp. 13-18, 1st International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), [Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2010):
On the Quest for Optimal Rule Learning Heuristics.
In: Machine Learning, 78 (3), pp. 343-379. [Article]

Janssen, Frederik ; Fürnkranz, Johannes (2010):
The SeCo-framework for rule learning.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes (2010):
Separate-and-conquer Regression.
[Report]

Hartmann, Melanie ; Janssen, Frederik (2009):
Proceedings of LWA.
[Report]

Loza Mencía, Eneldo ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Benz, Dominik ; Janssen, Frederik (eds.) (2009):
Efficient Voting Prediction for Pairwise Multilabel Classification.
In: Proceedings of the LWA 2009: Lernen - Wissen - Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), pp. 72-75,
[Conference or Workshop Item]

Schweizer, Immanuel ; Panitzek, Kamill ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Benz, Dominik ; Janssen, Frederik (eds.) (2009):
An Exploitative Monte-Carlo Poker Agent.
In: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), pp. 100-104,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes
Park, Haesun ; Parthasarathy, Srinivasan ; Liu, Huan ; Obradovic, Zoran (eds.) (2009):
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
In: Proceedings of the SIAM International Conference on Data Mining (SDM-09), pp. 329-340,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes
Horvath, T. ; Boulicaut, J.-F. ; Berthold, M. (eds.) (2008):
An Empirical Investigation of the Trade-Off Between Consistency and Coverage in Rule Learning Heuristics.
In: Proceedings of the 11th International Conference on Discovery Science (DS-08),
Springer-Verlag, [Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes
Boulicaut, Jean-Francois ; Berthold, Michael R. ; Horváth, T. (eds.) (2008):
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics.
In: Proceedings of the 11th International Conference on Discovery Science (DS-08), pp. 40-51,
Springer-Verlag, [Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2008):
An Empirical Quest for Optimal Rule Learning Heuristics.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes (2008):
A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes (2008):
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
In: Proceedings of the LWA 2008: Lernen -- Wissen -- Adaption,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2007):
Meta-Learning Rule Learning Heuristics.
In: Proceedings of the LWA 2007: Lernen -- Wissen -- Adaption, pp. 167-174,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2007):
Meta-Learning Rule Learning Heuristics.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes
Brazdil, Pavel B. ; Bernstein, A. (eds.) (2007):
Meta-Learning a Rule Learning Heuristic.
In: Proceedings of ECML-PKDD-07 Workshop on Planning to Learn (PlanLearn-07),
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2007):
On Meta-Learning Rule Learning Heuristics.
In: Proceedings of the 7th IEEE Conference on Data Mining (ICDM-07), pp. 529-534,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2006):
On Trading Off Consistency and Coverage in Inductive Rule Learning.
In: Lernen - Wissensentdeckung - Adaptivität : 9. - 11.10. 2006 in Hildesheim; [proceedings] / LWA 2006. Martin Schaaf ... (Hrsg.). - Hildesheim : Inst. für Informatik, 2006, S. 306-313 (Hildesheimer Informatik-Berichte ; 2006,1), 11.10. 2006 in Hildesheim; [proceedings] / LWA 2006. Martin Schaaf ... (Hrsg.). - Hildesheim, Inst. für Informatik, [Conference or Workshop Item]

Janssen, Frederik (2006):
Eine Untersuchung des Trade-Offs zwischen Precision and Coverage bei Regel-Lern-Heuristiken.
TU Darmstadt, [Master Thesis]

Janssen, Frederik ; Fürnkranz, Johannes
Althoff, Klaus-Dieter ; Schaaf, M. (eds.) (2006):
On Trading Off Consistency and Coverage in Inductive Rule Learning.
In: Proceedings of the LWA 2006, Lernen Wissensentdeckung Adaptivität, pp. 306-313,
Gesellschaft f{\"u}r Informatik e. V. (GI), [Conference or Workshop Item]

This list was generated on Tue Oct 19 01:53:37 2021 CEST.