Frederik Janssen

According to our database, Frederik Janssen authored at least 30 papers between 2006 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Semantic Abstraction for generalization of tweet classification: An evaluation of incident-related tweets.

Axel Schulz, Christian Guckelsberger, Frederik Janssen

Semantic Web, 2017

Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones.

Christian Meurisch, Artur Gogel, Benedikt Schmidt, Timo Nolle, Frederik Janssen, Immanuel Schweizer, Max Mühlhäuser

Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression.

Andrei Tolstikov, Frederik Janssen, Johannes Fürnkranz

Proceedings of the Discovery Science - 20th International Conference, 2017

2016

Learning rules for multi-label classification: a stacking and a separate-and-conquer approach.

Eneldo Loza Mencía, Frederik Janssen

Mach. Learn., 2016

Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models.

Christian Meurisch, Usman Naeem, Muhammad Awais Azam, Frederik Janssen, Benedikt Schmidt, Max Mühlhäuser

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

DeepRED - Rule Extraction from Deep Neural Networks.

Jan Ruben Zilke, Eneldo Loza Mencía, Frederik Janssen

Proceedings of the Discovery Science - 19th International Conference, 2016

Shorter Rules Are Better, Aren't They?

Julius Stecher, Frederik Janssen, Johannes Fürnkranz

Proceedings of the Discovery Science - 19th International Conference, 2016

Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype.

Sebastian Kauschke, Johannes Fürnkranz, Frederik Janssen

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.

Sebastian Kauschke, Frederik Janssen, Immanuel Schweizer

Proceedings of the LWA 2015 Workshops: KDML, 2015

Accurate pollutant modeling and mapping: Applying machine learning to participatory sensing and urban topology data.

Axel Schulz, Jakob Karolus, Frederik Janssen, Immanuel Schweizer

Proceedings of the 2015 International Conference and Workshops on Networked Systems, 2015

Event-Based Clustering for Reducing Labeling Costs of Event-related Microposts.

Axel Schulz, Frederik Janssen, Petar Ristoski, Johannes Fürnkranz

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Event-based Clustering for Reducing Labeling Costs of Incident-Related Microposts.

Axel Schulz, Petar Ristoski, Johannes Fürnkranz, Frederik Janssen

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

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, Frederik Janssen

Proceedings of the Fifth Workshop on Semantics for Smarter Cities a Workshop at the 13th International Semantic Web Conference (ISWC 2014), 2014

Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning.

Julius Stecher, Frederik Janssen, Johannes Fürnkranz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Learning Semantically Coherent Rules.

Alexander Gabriel, Heiko Paulheim, Frederik Janssen

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, 2014

Learning to Predict Component Failures in Trains.

Sebastian Kauschke, Immanuel Schweizer, Michael Fiebrig, Frederik Janssen

Proceedings of the 16th LWA Workshops: KDML, 2014

Stacking Label Features for Learning Multilabel Rules.

Eneldo Loza Mencía, Frederik Janssen

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

Towards Multilabel Rule Learning.

Eneldo Loza Mencía, Frederik Janssen

Proceedings of the LWA 2013. Lernen, 2013

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, Frederik Janssen

Proceedings of the International Workshop on Data Mining on Linked Data, 2013

2012

Heuristic rule learning.

Frederik Janssen

PhD thesis, 2012

HotMatch results for OEAI 2012.

Thanh-Tung Dang, Alexander Gabriel, Sven Hertling, Philipp Roskosch, Marcel Wlotzka, Jan Ruben Zilke, Frederik Janssen, Heiko Paulheim

Proceedings of the 7th International Workshop on Ontology Matching, 2012

Towards Rule Learning Approaches to Instance-based Ontology Matching.

Frederik Janssen, Faraz Fallahi, Jan Noessner, Heiko Paulheim

Proceedings of the First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data, 2012

2011

Heuristic Rule-Based Regression via Dynamic Reduction to Classification.

Frederik Janssen, Johannes Fürnkranz

Proceedings of the Report of the symposium "Lernen, 2011

2010

On the quest for optimal rule learning heuristics.

Frederik Janssen, Johannes Fürnkranz

Mach. Learn., 2010

Separate-and-conquer Regression.

Frederik Janssen, Johannes Fürnkranz

Proceedings of the LWA 2010, 2010

2009

LWA 2009.

Frederik Janssen, Melanie Hartmann

Künstliche Intell., 2009

A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.

Frederik Janssen, Johannes Fürnkranz

Proceedings of the SIAM International Conference on Data Mining, 2009

2008

An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics.

Frederik Janssen, Johannes Fürnkranz

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

On Meta-Learning Rule Learning Heuristics.

Frederik Janssen, Johannes Fürnkranz

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

On Trading Off Consistency and Coverage in Inductive Rule Learning.

Frederik Janssen, Johannes Fürnkranz

Proceedings of the LWA 2006: Lernen - Wissensentdeckung - Adaptivität, Hildesheim, Deutschland, October 9th-11th 2006, joint workshop event of several interest groups of the German Society for Informatics (GI) - 14th Workshop on Adaptivity and User Modeling in Interactive Systems (ABIS 2006) - Workshop Information Retrieval 2006 of the Special Interest Group Information Retrieval (FGIR 2006) - Workshop on Knowledge and Experience Management (FGWM 2006), 2006