Johannes Fürnkranz

72 publications

20 venues

H Index 28

Affiliation

Johannes Kepler University of Linz, Austria
TU Darmstadt, Germany

Links

Name	Venue	Year	citations
Partial Pre-Post Code Tree: A Memory-Efficient Tree Structure for Conjunctive Rule Mining.	KDD	2025	0
Probabilistic scoring lists for interpretable machine learning.	MLJ	2025	0
Explainable and interpretable machine learning and data mining.	DMKD	2024	41
Efficient learning of large sets of locally optimal classification rules.	MLJ	2023	14
Tree-based dynamic classifier chains.	MLJ	2023	0
A flexible class of dependence-aware multi-label loss functions.	MLJ	2022	0
Gradient-Based Label Binning in Multi-label Classification.	ECML/PKDD	2021	6
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	30
Permutation Learning via Lehmer Codes.	ECAI	2020	7
On cognitive preferences and the plausibility of rule-based models.	MLJ	2020	0
Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches.	IJCNN	2019	0
Learning Context-dependent Label Permutations for Multi-label Classification.	ICML	2019	18
Deep Ordinal Reinforcement Learning.	ECML/PKDD	2019	11
Patching Deep Neural Networks for Nonstationary Environments.	IJCNN	2019	7
Learning Analogy-Preserving Sentence Embeddings for Answer Selection.	CoNLL	2019	15
Beta Distribution Drift Detection for Adaptive Classifiers.	ESANN	2019	0
Batchwise Patching of Classifiers.	AAAI	2018	24
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules.	PAKDD	2018	6
A Survey of Preference-Based Reinforcement Learning Methods.	JMLR	2017	427
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification.	NIPS/NeurIPS	2017	183
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation.	COLING	2016	4
All-in Text: Learning Document, Label, and Word Representations Jointly.	AAAI	2016	67
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization.	COLING	2016	13
Model-Free Preference-Based Reinforcement Learning.	AAAI	2016	110
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.	CoNLL	2016	16
Using semantic similarity for multi-label zero-shot classification of text documents.	ESANN	2016	51
Editorial.	DMKD	2015	0
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning.	ECML/PKDD	2015	17
Efficient implementation of class-based decomposition schemes for Naïve Bayes.	MLJ	2014	24
Graded Multilabel Classification by Pairwise Comparisons.	ICDM	2014	21
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning.	ECML/PKDD	2014	15
Large-Scale Multi-label Text Classification - Revisiting Neural Networks.	ECML/PKDD	2014	0
Editorial: Preference learning and ranking.	MLJ	2013	11
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning.	ACML	2013	13
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.	MLJ	2012	169
Efficient prediction algorithms for binary decomposition techniques.	DMKD	2012	0
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.	ECML/PKDD	2011	65
Heuristic Rule-Based Regression via Dynamic Reduction to Classification.	IJCAI	2011	0
Guest Editorial: Global modeling using local patterns.	DMKD	2010	18
On the quest for optimal rule learning heuristics.	MLJ	2010	82
Binary Decomposition Methods for Multipartite Ranking.	ECML/PKDD	2009	82
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	74
Label ranking by learning pairwise preferences.	Artificial Intelligence	2008	581
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.	ECML/PKDD	2008	190
Multilabel classification via calibrated label ranking.	MLJ	2008	938
On Minimizing the Position Error in Label Ranking.	ECML/PKDD	2007	13
On Meta-Learning Rule Learning Heuristics.	ICDM	2007	15
On Pairwise Naive Bayes Classifiers.	ECML/PKDD	2007	38
Efficient Pairwise Classification.	ECML/PKDD	2007	106
Machine learning and games.	MLJ	2006	66
A Unified Model for Multilabel Classification and Ranking.	ECAI	2006	125
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	119
Pairwise Preference Learning and Ranking.	ECML/PKDD	2003	278
Pairwise Classification as an Ensemble Technique.	ECML/PKDD	2002	55
Round Robin Classification.	JMLR	2002	63
Detecting Temporal Change in Event Sequences: An Application to Demographic Data.	ECML/PKDD	2001	25
Round Robin Rule Learning.	ICML	2001	75
Learning to Use Operational Advice.	ECAI	2000	5
Integrative Windowing.	JAIR	1998	61
Pruning Algorithms for Rule Learning.	MLJ	1997	150
Noise-Tolerant Windowing.	IJCAI	1997	10
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases.	ECAI	1996	14
A Tight Integration of Pruning and Learning (Extended Abstract).	ECML/PKDD	1995	6
Incremental Reduced Error Pruning.	ICML	1994	462
FOSSIL: A Robust Relational Learner.	ECML/PKDD	1994	50
Top-Down Pruning in Relational Learning.	ECAI	1994	18