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Number of items: 47.

Meurisch, Christian and Gogel, Artur and Schmidt, Benedikt and Nolle, Timo and Janssen, Frederik and Schweizer, Immanuel and 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 and Fürnkranz, Johannes and 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, 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 and Naeem, Usman and Azam, Muhammad Awais and Janssen, Frederik and Schmidt, Benedikt and 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, ACM, Heidelberg, [Conference or Workshop Item]

Zilke, Jan Ruben and Loza Mencía, Eneldo and 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, [Conference or Workshop Item]

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

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

Kauschke, Sebastian and Janssen, Frederik and Schweizer, Immanuel (2015):
Advances in Predictive Maintenance for a Railway Scenario - Project Techlok.
[Online-Edition: http://www.ke.tu-darmstadt.de/bibtex/publications/show/2690],
[Report]

Schulz, Axel and Janssen, Frederik and Ristoski, Petar and Fürnkranz, Johannes (2015):
Event-Based Clustering for Reducing Labeling Costs of Event-Related Microposts.
AAAI Press, In: Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM2015), [Online-Edition: http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/1...],
[Conference or Workshop Item]

Schulz, Axel and Karolus, Jakob and Janssen, Frederik and Schweizer, Immanuel (2015):
Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data.
IEEE, In: Proceedings of the International Conference on Networked Systems (NetSys2015), [Online-Edition: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7089079...],
[Conference or Workshop Item]

Schulz, Axel and Karolus, Jakob and Janssen, Frederik and Schweizer, Immanuel (2015):
Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data.
In: International Conference on Networked Systems (NetSys), [Online-Edition: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7089079],
[Conference or Workshop Item]

Schulz, Axel and Ristoski, Petar and Fürnkranz, Johannes and Janssen, Frederik (2015):
Event-Based Clustering for Reducing Labeling Costs of Incident-Related Microposts.
CEUR workshop proceedings, In: 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 and Schulz, Axel and Janssen, Frederik and Ristoski, Petar and Schweizer, Immanuel
Ege, Börteçin and Humm, Bernhard and Reibold, Anatol (eds.) (2015):
Intelligente Datenauswertung mit Linked Open Data.
In: Corporate Semantic Web: Wie semantische Anwendungen in Unternehmen Nutzen stiften, Springer-Verlag Berlin Heidelberg, Springer Vieweg, pp. 187-201, [Online-Edition: http://www.springer.com/us/book/9783642548857],
[Book Section]

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

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

Gabriel, Alexander and Paulheim, Heiko and Janssen, Frederik
Cellier, Peggy and Charnois, Thierry and Hotho, Andreas and Matwin, Stan and Moens, Marie-Francine and Toussaint, Yannick (eds.) (2014):
Learning Semantically Coherent Rules.
Nancy, France, CEUR Workshop Proceedings, In: 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, 1202, ISSN 1613-0073,
[Online-Edition: http://ceur-ws.org/Vol-1202/paper4.pdf],
[Conference or Workshop Item]

Stecher, Julius and Janssen, Frederik and Fürnkranz, Johannes
Calders, Toon and Esposito, Floriana and Hüllermeier, Eyke and Meo, Rosa (eds.) (2014):
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning.
Nancy, France, Springer, In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 3, Nancy, France, In: Lecture Notes in Computer Science, 8726, ISBN 978-3-662-44844-1,
[Online-Edition: http://dx.doi.org/10.1007/978-3-662-44845-8_8],
[Conference or Workshop Item]

Nolle, Timo and Schweizer, Immanuel and Janssen, Frederik (2014):
Data-driven Detection of Congestion-affected Roads.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...],
[Report]

Kauschke, Sebastian and Schweizer, Immanuel and Fiebrig, Michael and Janssen, Frederik
Seidl, Thomas and Hassani, Marwan and Beecks, Christian (eds.) (2014):
Learning to Predict Component Failures in Trains.
In: LWA 2014 Workshops KDML, IR and FGWM : proceedings of the 16th LWA Workshops, Aachen, Germany, In: 16th LWA Workshops : KDML, IR and FGWM, Aachen, Germany, September 8 - 10, 2014, In: CEUR workshop proceedings, 1226, [Online-Edition: http://ceur-ws.org/Vol-1226/paper13.pdf],
[Conference or Workshop Item]

Loza Mencía, Eneldo and Janssen, Frederik
Džeroski, Sašo and Panov, Panče and Kocev, Dragi and Todorovski, Ljupčo (eds.) (2014):
Stacking Label Features for Learning Multilabel Rules.
In: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings, Springer, pp. 192-203, [Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/ds14stacki...],
[Book Section]

Schulz, Axel and 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.
In: Proceedings of the Fifth Workshop on Semantics for Smarter Cities (a Workshop at the 13th International Semantic Web Conference (ISWC 2014)), [Online-Edition: http://ceur-ws.org/Vol-1280/paper1.pdf],
[Conference or Workshop Item]

Schulz, Axel and Janssen, Frederik and Karolus, Jakob and Schweizer, Immanuel (2013):
Creating Noise Pollution Maps Based on User-generated Noise Data.
[Online-Edition: http://aimashup.org/aimashup2013/lib/exe/fetch.php?media=sch...],
[Conference or Workshop Item]

Loza Mencía, Eneldo and Janssen, Frederik
Henrich, Andreas and Sperker, Hans-Christian (eds.) (2013):
Towards Multilabel Rule Learning.
Bamberg, Germany, In: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, Bamberg, Germany, [Online-Edition: http://www.minf.uni-bamberg.de/lwa2013/proceedings/proceedin...],
[Conference or Workshop Item]

Loza Mencía, Eneldo and Holthausen, Simon and Schulz, Axel and Janssen, Frederik (2013):
Using Data Mining on Linked Open Data for Analyzing E-Procurement Information.
In: Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD2013, [Online-Edition: http://ceur-ws.org/Vol-1082/paper4.pdf],
[Conference or Workshop Item]

Janssen, Frederik (2012):
Heuristic Rule Learning.
Darmstadt, TU Darmstadt / Knowledge Engineering, [Online-Edition: urn:nbn:de:tuda-tuprints-31352],
[Ph.D. Thesis]

Janssen, Frederik (2012):
Heuristic Rule Learning.
TU Darmstadt, Knowledge Engineering Group, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3135/],
[Ph.D. Thesis]

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

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

Janssen, Frederik and Fallahi, Faraz and Noessner, Jan and Paulheim, Heiko (2012):
Towards Rule Learning Approaches to Instance-based Ontology Matching.
In: 1st International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), [Online-Edition: http://www.ke.tu-darmstadt.de/know-a-lod-2012/wp-content/upl...],
[Conference or Workshop Item]

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

Janssen, Frederik and Fürnkranz, Johannes (2010):
The SeCo-framework for rule learning.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...],
[Report]

Janssen, Frederik and Fürnkranz, Johannes (2010):
Separate-and-conquer Regression.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...],
[Report]

Hartmann, Melanie and Janssen, Frederik (2009):
Proceedings of LWA.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/LWA09_Pro...],
[Report]

Loza Mencía, Eneldo and Park, Sang-Hyeun and Fürnkranz, Johannes
Benz, Dominik and 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), [Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/KDML09.pdf],
[Conference or Workshop Item]

Schweizer, Immanuel and Panitzek, Kamill and Park, Sang-Hyeun and Fürnkranz, Johannes
Benz, Dominik and 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), [Conference or Workshop Item]

Janssen, Frederik and Fürnkranz, Johannes
Park, Haesun and Parthasarathy, Srinivasan and Liu, Huan and 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), [Online-Edition: http://www.siam.org/proceedings/datamining/2009/dm09_033_jan...],
[Conference or Workshop Item]

Janssen, Frederik and Fürnkranz, Johannes
Horvath, T. and Boulicaut, J.-F. and 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 and Fürnkranz, Johannes
Boulicaut, Jean-Francois and Berthold, Michael R. and 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), Springer-Verlag, [Online-Edition: http://www.springerlink.com/content/5h478u088k513n6w/fulltex...],
[Conference or Workshop Item]

Janssen, Frederik and Fürnkranz, Johannes (2008):
An Empirical Quest for Optimal Rule Learning Heuristics.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...],
[Report]

Janssen, Frederik and Fürnkranz, Johannes (2008):
A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...],
[Report]

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

Janssen, Frederik and Fürnkranz, Johannes (2007):
Meta-Learning Rule Learning Heuristics.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...],
[Report]

Janssen, Frederik and Fürnkranz, Johannes
Brazdil, Pavel B. and Bernstein, A. (eds.) (2007):
Meta-Learning a Rule Learning Heuristic.
In: Proceedings of ECML-PKDD-07 Workshop on Planning to Learn (PlanLearn-07), [Online-Edition: http://www.ke.informatik.tu-darmstadt.de/~juffi/publications...],
[Conference or Workshop Item]

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

Janssen, Frederik and Fürnkranz, Johannes (2006):
On Trading Off Consistency and Coverage in Inductive Rule Learning.
11.10. 2006 in Hildesheim; [proceedings] / LWA 2006. Martin Schaaf ... (Hrsg.). - Hildesheim, Inst. für Informatik, 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), [Conference or Workshop Item]

Janssen, Frederik (2006):
Eine Untersuchung des Trade-Offs zwischen Precision and Coverage bei Regel-Lern-Heuristiken.
TU Darmstadt, [Online-Edition: http://www.ke.informatik.tu-darmstadt.de/lehre/arbeiten/dipl...],
[Master Thesis]

Janssen, Frederik and Fürnkranz, Johannes
Althoff, Klaus-Dieter and Schaaf, M. (eds.) (2006):
On Trading Off Consistency and Coverage in Inductive Rule Learning.
In: Proceedings of the LWA 2006, Lernen Wissensentdeckung Adaptivität, Gesellschaft f{\"u}r Informatik e. V. (GI), [Online-Edition: http://web1.bib.uni-hildesheim.de/2006/kdml2006/JanssenFuern...],
[Conference or Workshop Item]

This list was generated on Sat Jun 15 00:39:35 2019 CEST.