Johannes Fürnkranz

68 publications

19 venues

H Index 26

Affiliation

Johannes Kepler University of Linz, Austria
TU Darmstadt, Germany

Links

Name	Venue	Year	citations
Efficient learning of large sets of locally optimal classification rules.	MLJ	2023	1
A flexible class of dependence-aware multi-label loss functions.	MLJ	2022	0
Gradient-Based Label Binning in Multi-label Classification.	ECML/PKDD	2021	2
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models.	Artificial Intelligence	2021	0
Learning Gradient Boosted Multi-label Classification Rules.	ECML/PKDD	2020	19
Permutation Learning via Lehmer Codes.	ECAI	2020	5
On cognitive preferences and the plausibility of rule-based models.	MLJ	2020	0
Learning Analogy-Preserving Sentence Embeddings for Answer Selection.	CoNLL	2019	7
Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches.	IJCNN	2019	0
Deep Ordinal Reinforcement Learning.	ECML/PKDD	2019	5
Learning Context-dependent Label Permutations for Multi-label Classification.	ICML	2019	11
Patching Deep Neural Networks for Nonstationary Environments.	IJCNN	2019	2
Beta Distribution Drift Detection for Adaptive Classifiers.	ESANN	2019	0
Batchwise Patching of Classifiers.	AAAI	2018	21
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules.	PAKDD	2018	6
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification.	NIPS/NeurIPS	2017	131
A Survey of Preference-Based Reinforcement Learning Methods.	JMLR	2017	0
Using semantic similarity for multi-label zero-shot classification of text documents.	ESANN	2016	31
Model-Free Preference-Based Reinforcement Learning.	AAAI	2016	72
All-in Text: Learning Document, Label, and Word Representations Jointly.	AAAI	2016	54
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.	CoNLL	2016	15
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation.	COLING	2016	4
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization.	COLING	2016	11
Editorial.	DMKD	2015	0
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning.	ECML/PKDD	2015	14
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning.	ECML/PKDD	2014	15
Graded Multilabel Classification by Pairwise Comparisons.	ICDM	2014	17
Efficient implementation of class-based decomposition schemes for Naïve Bayes.	MLJ	2014	0
Large-Scale Multi-label Text Classification - Revisiting Neural Networks.	ECML/PKDD	2014	0
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning.	ACML	2013	13
Editorial: Preference learning and ranking.	MLJ	2013	8
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.	MLJ	2012	107
Efficient prediction algorithms for binary decomposition techniques.	DMKD	2012	0
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.	ECML/PKDD	2011	42
Heuristic Rule-Based Regression via Dynamic Reduction to Classification.	IJCAI	2011	25
On the quest for optimal rule learning heuristics.	MLJ	2010	76
Guest Editorial: Global modeling using local patterns.	DMKD	2010	16
Binary Decomposition Methods for Multipartite Ranking.	ECML/PKDD	2009	79
Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification.	ECML/PKDD	2009	11
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.	SDM	2009	0
Efficient voting prediction for pairwise multilabel classification.	ESANN	2009	0
Pairwise learning of multilabel classifications with perceptrons.	IJCNN	2008	39
Label ranking by learning pairwise preferences.	Artificial Intelligence	2008	533
Multilabel classification via calibrated label ranking.	MLJ	2008	785
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.	ECML/PKDD	2008	157
On Meta-Learning Rule Learning Heuristics.	ICDM	2007	13
On Pairwise Naive Bayes Classifiers.	ECML/PKDD	2007	33
On Minimizing the Position Error in Label Ranking.	ECML/PKDD	2007	15
Efficient Pairwise Classification.	ECML/PKDD	2007	109
A Unified Model for Multilabel Classification and Ranking.	ECAI	2006	124
Machine learning and games.	MLJ	2006	53
ROC 'n' Rule Learning - Towards a Better Understanding of Covering Algorithms.	MLJ	2005	0
An Analysis of Stopping and Filtering Criteria for Rule Learning.	ECML/PKDD	2004	15
An Analysis of Rule Evaluation Metrics.	ICML	2003	114
Pairwise Preference Learning and Ranking.	ECML/PKDD	2003	235
Round Robin Classification.	JMLR	2002	490
Pairwise Classification as an Ensemble Technique.	ECML/PKDD	2002	53
Detecting Temporal Change in Event Sequences: An Application to Demographic Data.	ECML/PKDD	2001	27
Round Robin Rule Learning.	ICML	2001	71
Learning to Use Operational Advice.	ECAI	2000	5
Integrative Windowing.	JAIR	1998	61
Pruning Algorithms for Rule Learning.	MLJ	1997	128
Noise-Tolerant Windowing.	IJCAI	1997	10
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases.	ECAI	1996	13
A Tight Integration of Pruning and Learning (Extended Abstract).	ECML/PKDD	1995	6
Top-Down Pruning in Relational Learning.	ECAI	1994	17
Incremental Reduced Error Pruning.	ICML	1994	444
FOSSIL: A Robust Relational Learner.	ECML/PKDD	1994	49