| Deepred–rule extraction from deep neural networks JR Zilke, E Loza Mencía, F Janssen Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016 | 332 | 2016 |
| On the quest for optimal rule learning heuristics F Janssen, J Fürnkranz Machine Learning 78, 343-379, 2010 | 97 | 2010 |
| ICIAP: International Conference on Image Analysis and Processing, 17th International Conference, Naples, Italy, September 9-13, 2013. Proceedings M ATZMUELLER, C ALVIN, F JANSSEN, I SCHWEIZER, C TRATTNER vol 6881, 12, 2011 | 83 | 2011 |
| Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and … M Atzmueller, A Chin, F Janssen, I Schweizer, C Trattner Springer, 2016 | 61 | 2016 |
| Learning rules for multi-label classification: a stacking and a separate-and-conquer approach E Loza Mencía, F Janssen Machine Learning 105, 77-126, 2016 | 48 | 2016 |
| Heuristic rule-based regression via dynamic reduction to classification F Janssen, J Fürnkranz Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 39 | 2011 |
| Semantic abstraction for generalization of tweet classification: An evaluation of incident-related tweets A Schulz, C Guckelsberger, F Janssen Semantic Web 8 (3), 353-372, 2017 | 37 | 2017 |
| A re-evaluation of the over-searching phenomenon in inductive rule learning F Janssen, J Fürnkranz Proceedings of the 2009 SIAM International Conference on Data Mining, 329-340, 2009 | 28 | 2009 |
| On meta-learning rule learning heuristics F Janssen, J Furnkranz Seventh IEEE International Conference on Data Mining (ICDM 2007), 529-534, 2007 | 24 | 2007 |
| HotMatch results for OEAI 2012. TT Dang, A Gabriel, S Hertling, P Roskosch, M Wlotzka, JR Zilke, ... OM, 2012 | 22 | 2012 |
| An empirical investigation of the trade-off between consistency and coverage in rule learning heuristics F Janssen, J Fürnkranz Discovery Science: 11th International Conference, DS 2008, Budapest, Hungary …, 2008 | 19 | 2008 |
| Separate-and-conquer Regression. F Janssen, J Fürnkranz LWA, 81-88, 2010 | 18 | 2010 |
| Separating rule refinement and rule selection heuristics in inductive rule learning J Stecher, F Janssen, J Fürnkranz Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 17 | 2014 |
| Using data mining on linked open data for analyzing e-procurement information EL Mencıa, S Holthausen, A Schulz, F Janssen Proceedings of the first DMoLD: data mining on linked data workshop at ECML/PKDD, 2013 | 17 | 2013 |
| Shorter rules are better, aren’t they? J Stecher, F Janssen, J Fürnkranz Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016 | 12 | 2016 |
| Learning Semantically Coherent Rules A Gabriel, H Paulheim, F Janssen Interactions between Data Mining and Natural Language Processing, 49, 2014 | 10 | 2014 |
| On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application. S Kauschke, F Janssen, I Schweizer, R Bergmann, S Gürg, G Miiller LWA, 121-132, 2015 | 9 | 2015 |
| Towards Rule Learning Approaches to Instance-based Ontology Matching. F Janssen, F Fallahi, J Noessner, H Paulheim KNOW@ LOD 868, 13-18, 2012 | 9 | 2012 |
| On trading off consistency and coverage in inductive rule learning F Janssen, J Fürnkranz LWA 2006: Lernen–Wissensentdeckung–Adaptivität (9.–11.10. 2006 in Hildesheim …, 2006 | 9 | 2006 |
| Predicting cargo train failures: a machine learning approach for a lightweight prototype S Kauschke, J Fürnkranz, F Janssen Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016 | 8 | 2016 |
Johannes FürnkranzJohannes Kepler University, Linzfaw.jku.at의 이메일 확인됨