Fürnkranz, Johannes

45 publications

MLJ 2025 Probabilistic Scoring Lists for Interpretable Machine Learning Jonas Hanselle, Stefan Heid, Johannes Fürnkranz, Eyke Hüllermeier

MLJ 2023 Efficient Learning of Large Sets of Locally Optimal Classification Rules Van Quoc Phuong Huynh, Johannes Fürnkranz, Florian Beck

MLJ 2023 Tree-Based Dynamic Classifier Chains Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz

MLJ 2022 A Flexible Class of Dependence-Aware Multi-Label Loss Functions Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp

ECML-PKDD 2021 Gradient-Based Label Binning in Multi-Label Classification Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier

ECML-PKDD 2020 Learning Gradient Boosted Multi-Label Classification Rules Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier

MLJ 2020 On Cognitive Preferences and the Plausibility of Rule-Based Models Johannes Fürnkranz, Tomás Kliegr, Heiko Paulheim

ECML-PKDD 2019 Deep Ordinal Reinforcement Learning Alexander Zap, Tobias Joppen, Johannes Fürnkranz

ICML 2019 Learning Context-Dependent Label Permutations for Multi-Label Classification Jinseok Nam, Young-Bum Kim, Eneldo Loza Mencia, Sunghyun Park, Ruhi Sarikaya, Johannes Fürnkranz

AAAI 2018 Batchwise Patching of Classifiers Sebastian Kauschke, Johannes Fürnkranz

JMLR 2017 A Survey of Preference-Based Reinforcement Learning Methods Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz

NeurIPS 2017 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-Label Classification Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J Kim, Johannes Fürnkranz

AAAI 2016 All-in Text: Learning Document, Label, and Word Representations Jointly Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz

AAAI 2016 Model-Free Preference-Based Reinforcement Learning Christian Wirth, Johannes Fürnkranz, Gerhard Neumann

ICLR 2015 On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space Jinseok Nam, Johannes Fürnkranz

ECML-PKDD 2015 Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-Label Learning Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz

MLJ 2014 Efficient Implementation of Class-Based Decomposition Schemes for Naïve Bayes Sang-Hyeun Park, Johannes Fürnkranz

ECML-PKDD 2014 Large-Scale Multi-Label Text Classification - Revisiting Neural Networks Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz

ECML-PKDD 2014 Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning Julius Stecher, Frederik Janssen, Johannes Fürnkranz

ACML 2013 EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning Christian Wirth, Johannes Fürnkranz

MLJ 2012 Preference-Based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm Johannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park

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

ALT 2011 Learning from Label Preferences Eyke Hüllermeier, Johannes Fürnkranz

ECML-PKDD 2011 Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park

MLJ 2010 On the Quest for Optimal Rule Learning Heuristics Frederik Janssen, Johannes Fürnkranz

ECML-PKDD 2009 Binary Decomposition Methods for Multipartite Ranking Johannes Fürnkranz, Eyke Hüllermeier, Stijn Vanderlooy

ECML-PKDD 2009 Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification Sang-Hyeun Park, Johannes Fürnkranz

ECML-PKDD 2008 Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain Eneldo Loza Mencía, Johannes Fürnkranz

MLJ 2008 Multilabel Classification via Calibrated Label Ranking Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker

MLJ 2006 Machine Learning and Games Michael H. Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick

MLJ 2005 ROC 'n' Rule Learning - Towards a Better Understanding of Covering Algorithms Johannes Fürnkranz, Peter A. Flach

ECML-PKDD 2004 An Analysis of Stopping and Filtering Criteria for Rule Learning Johannes Fürnkranz, Peter A. Flach

ICML 2003 An Analysis of Rule Evaluation Metrics Johannes Fürnkranz, Peter A. Flach

ECML-PKDD 2003 Pairwise Preference Learning and Ranking Johannes Fürnkranz, Eyke Hüllermeier

ALT 2002 A Pathology of Bottom-up Hill-Climbing in Inductive Rule Learning Johannes Fürnkranz

ECML-PKDD 2002 Pairwise Classification as an Ensemble Technique Johannes Fürnkranz

JMLR 2002 Round Robin Classification Johannes Fürnkranz

ICML 2001 Round Robin Rule Learning Johannes Fürnkranz

JAIR 1998 Integrative Windowing Johannes Fürnkranz

AAAI 1997 More Efficient Windowing Johannes Fürnkranz

IJCAI 1997 Noise-Tolerant Windowing Johannes Fürnkranz

MLJ 1997 Pruning Algorithms for Rule Learning Johannes Fürnkranz

ECML-PKDD 1995 A Tight Integration of Pruning and Learning (Extended Abstract) Johannes Fürnkranz

ECML-PKDD 1994 FOSSIL: A Robust Relational Learner Johannes Fürnkranz

ICML 1994 Incremental Reduced Error Pruning Johannes Fürnkranz, Gerhard Widmer