Frederik Janssen

Publication Activity (10 Years)

Years Active: 2006-2017
Publications (10 Years): 8

Top Venues

LWA

Discovery Science

MobiQuitous

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Christian Meurisch, Artur Gogel, Benedikt Schmidt, Timo Nolle, Frederik Janssen, Immanuel Schweizer, Max Mühlhäuser
Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones. MobiQuitous (2017)
Axel Schulz, Christian Guckelsberger, Frederik Janssen
Semantic Abstraction for generalization of tweet classification: An evaluation of incident-related tweets. Semantic Web 8 (3) (2017)
Andrei Tolstikov, Frederik Janssen, Johannes Fürnkranz
Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression. DS (2017)
Jan Ruben Zilke, Eneldo Loza Mencía, Frederik Janssen
DeepRED - Rule Extraction from Deep Neural Networks. DS (2016)
Sebastian Kauschke, Johannes Fürnkranz, Frederik Janssen
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype. DS (2016)
Christian Meurisch, Usman Naeem, Muhammad Awais Azam, Frederik Janssen, Benedikt Schmidt, Max Mühlhäuser
Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models. UbiComp Adjunct (2016)
Eneldo Loza Mencía, Frederik Janssen
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach. Mach. Learn. 105 (1) (2016)
Julius Stecher, Frederik Janssen, Johannes Fürnkranz
Shorter Rules Are Better, Aren't They? DS (2016)
Axel Schulz, Petar Ristoski, Johannes Fürnkranz, Frederik Janssen
Event-based Clustering for Reducing Labeling Costs of Incident-Related Microposts. MUD@ICML (2015)
Axel Schulz, Frederik Janssen, Petar Ristoski, Johannes Fürnkranz
Event-Based Clustering for Reducing Labeling Costs of Event-related Microposts. ICWSM (2015)
Sebastian Kauschke, Frederik Janssen, Immanuel Schweizer
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application. LWA (2015)
Axel Schulz, Jakob Karolus, Frederik Janssen, Immanuel Schweizer
Accurate pollutant modeling and mapping: Applying machine learning to participatory sensing and urban topology data. NetSys (2015)
Alexander Gabriel, Heiko Paulheim, Frederik Janssen
Learning Semantically Coherent Rules. DMNLP@PKDD/ECML (2014)
Eneldo Loza Mencía, Frederik Janssen
Stacking Label Features for Learning Multilabel Rules. Discovery Science (2014)
Sebastian Kauschke, Immanuel Schweizer, Michael Fiebrig, Frederik Janssen
Learning to Predict Component Failures in Trains. LWA (2014)
Axel Schulz, Frederik Janssen
What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction. S4SC@ISWC (2014)
Julius Stecher, Frederik Janssen, Johannes Fürnkranz
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning. ECML/PKDD (3) (2014)
Eneldo Loza Mencía, Frederik Janssen
Towards Multilabel Rule Learning. LWA (2013)
Eneldo Loza Mencía, Simon Holthausen, Axel Schulz, Frederik Janssen
Using Data Mining on Linked Open Data for Analyzing E-Procurement Information - A Machine Learning approach to the Linked Data Mining Challenge 2013. DMoLD (2013)
Frederik Janssen, Faraz Fallahi, Jan Noessner, Heiko Paulheim
Towards Rule Learning Approaches to Instance-based Ontology Matching. KNOW@LOD (2012)
Thanh-Tung Dang, Alexander Gabriel, Sven Hertling, Philipp Roskosch, Marcel Wlotzka, Jan Ruben Zilke, Frederik Janssen, Heiko Paulheim
HotMatch results for OEAI 2012. OM (2012)
Frederik Janssen, Johannes Fürnkranz
Heuristic Rule-Based Regression via Dynamic Reduction to Classification. IJCAI (2011)
Frederik Janssen, Johannes Fürnkranz
Heuristic Rule-Based Regression via Dynamic Reduction to Classification. LWA (2011)
Frederik Janssen, Johannes Fürnkranz
On the quest for optimal rule learning heuristics. Mach. Learn. 78 (3) (2010)
Frederik Janssen, Johannes Fürnkranz
Separate-and-conquer Regression. LWA (2010)
Frederik Janssen, Melanie Hartmann
LWA 2009. Künstliche Intell. 23 (2) (2009)
Frederik Janssen, Johannes Fürnkranz
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. SDM (2009)
Frederik Janssen, Johannes Fürnkranz
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. LWA (2008)
Frederik Janssen, Johannes Fürnkranz
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics. Discovery Science (2008)
Frederik Janssen, Johannes Fürnkranz
Meta-Learning Rule Learning Heuristics. LWA (2007)
Frederik Janssen, Johannes Fürnkranz
On Meta-Learning Rule Learning Heuristics. ICDM (2007)
Frederik Janssen, Johannes Fürnkranz
On Trading Off Consistency and Coverage in Inductive Rule Learning. LWA (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frederik Janssen