On Trading Off Consistency and Coverage in Inductive Rule Learning. - Frederik Janssen; Johannes Fürnkranz (LWA, 2006)

On Meta-Learning Rule Learning Heuristics. - Frederik Janssen; Johannes Fürnkranz (ICDM, 2007)

An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics. - Frederik Janssen; Johannes Fürnkranz (Discovery Science, 2008)

A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. - Frederik Janssen; Johannes Fürnkranz (SDM, 2009)

LWA 2009. - Frederik Janssen; Melanie Hartmann (Künstliche Intell., 2009)

Separate-and-conquer Regression. - Frederik Janssen; Johannes Fürnkranz (LWA, 2010)

On the quest for optimal rule learning heuristics. - Frederik Janssen; Johannes Fürnkranz (Mach. Learn., 2010)

Heuristic Rule-Based Regression via Dynamic Reduction to Classification. - Frederik Janssen; Johannes Fürnkranz (IJCAI, 2011)

Towards Rule Learning Approaches to Instance-based Ontology Matching. - Frederik Janssen; Faraz Fallahi; Jan Noessner; Heiko Paulheim (KNOW@LOD, 2012)

HotMatch results for OEAI 2012. - Thanh-Tung Dang; Alexander Gabriel; Sven Hertling; Philipp Roskosch; Marcel Wlotzka; Jan Ruben Zilke; Frederik Janssen; Heiko Paulheim (OM, 2012)

Heuristic rule learning. - Frederik Janssen (2012)

Using Data Mining on Linked Open Data for Analyzing E-Procurement Information - A Machine Learning approach to the Linked Data Mining Challenge 2013. - Eneldo Loza Mencía; Simon Holthausen; Axel Schulz 001; Frederik Janssen (DMoLD, 2013)

Towards Multilabel Rule Learning. - Eneldo Loza Mencía; Frederik Janssen (LWA, 2013)

Stacking Label Features for Learning Multilabel Rules. - Eneldo Loza Mencía; Frederik Janssen (Discovery Science, 2014)

Learning to Predict Component Failures in Trains. - Sebastian Kauschke; Immanuel Schweizer; Michael Fiebrig; Frederik Janssen (LWA, 2014)

Learning Semantically Coherent Rules. - Alexander Gabriel; Heiko Paulheim; Frederik Janssen (DMNLP@PKDD/ECML, 2014)

Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning. - Julius Stecher; Frederik Janssen; Johannes Fürnkranz (ECML/PKDD (3), 2014)

What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction. - Axel Schulz 001; Frederik Janssen (S4SC@ISWC, 2014)

Event-based Clustering for Reducing Labeling Costs of Incident-Related Microposts. - Axel Schulz 001; Petar Ristoski; Johannes Fürnkranz; Frederik Janssen (MUD@ICML, 2015)

Event-Based Clustering for Reducing Labeling Costs of Event-related Microposts. - Axel Schulz 001; Frederik Janssen; Petar Ristoski; Johannes Fürnkranz (ICWSM, 2015)

Accurate pollutant modeling and mapping: Applying machine learning to participatory sensing and urban topology data. - Axel Schulz 001; Jakob Karolus; Frederik Janssen; Immanuel Schweizer (NetSys, 2015)

On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application. - Sebastian Kauschke; Frederik Janssen; Immanuel Schweizer (LWA, 2015)

Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype. - Sebastian Kauschke; Johannes Fürnkranz; Frederik Janssen (DS, 2016)

Shorter Rules Are Better, Aren't They? - Julius Stecher; Frederik Janssen; Johannes Fürnkranz (DS, 2016)

DeepRED - Rule Extraction from Deep Neural Networks. - Jan Ruben Zilke; Eneldo Loza Mencía; Frederik Janssen (DS, 2016)

Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models. - Christian Meurisch; Usman Naeem; Muhammad Awais Azam; Frederik Janssen; Benedikt Schmidt 001; Max Mühlhäuser (UbiComp Adjunct, 2016)

Learning rules for multi-label classification: a stacking and a separate-and-conquer approach. - Eneldo Loza Mencía; Frederik Janssen (Mach. Learn., 2016)

Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression. - Andrei Tolstikov; Frederik Janssen; Johannes Fürnkranz (DS, 2017)

Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones. - Christian Meurisch; Artur Gogel; Benedikt Schmidt 001; Timo Nolle; Frederik Janssen; Immanuel Schweizer; Max Mühlhäuser (MobiQuitous, 2017)

Semantic Abstraction for generalization of tweet classification: An evaluation of incident-related tweets. - Axel Schulz 001; Christian Guckelsberger; Frederik Janssen (Semantic Web, 2017)