Johannes Fürnkranz
Orcid: 0000-0002-1207-0159Affiliations:
- Johannes Kepler University of Linz, Austria
- TU Darmstadt, Germany (former)
According to our database1,
Johannes Fürnkranz
authored at least 216 papers
between 1994 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on jku.at
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on arxiv.org
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on dl.acm.org
On csauthors.net:
Bibliography
2023
Mach. Learn., February, 2023
Proceedings of the Rules and Reasoning - 7th International Joint Conference, 2023
Proceedings of the 23rd Conference Information Technologies, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Weighting Information Sets with Siamese Neural Networks in Reconnaissance Blind Chess.
Proceedings of the IEEE Conference on Games, 2023
2022
Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability.
CoRR, 2022
Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022
Proceedings of the 22nd Conference Information Technologies, 2022
Proceedings of the 22nd Conference Information Technologies, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
Frontiers Artif. Intell., 2021
Frontiers Big Data, 2021
A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems.
CoRR, 2021
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance.
Comput., 2021
A review of possible effects of cognitive biases on interpretation of rule-based machine learning models.
Artif. Intell., 2021
Proceedings of the Rules and Reasoning - 5th International Joint Conference, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the 21st Conference Information Technologies, 2021
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Mach. Learn., 2020
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data.
Frontiers Artif. Intell., 2020
CoRR, 2020
Proceedings of the Rules and Reasoning - 4th International Joint Conference, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020
2019
CoRR, 2019
CoRR, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019
Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics.
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Proceedings of the IEEE Conference on Games, 2019
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019
2018
IEEE Trans. Games, 2018
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
J. Mach. Learn. Res., 2017
Refinement and selection heuristics in subgroup discovery and classification rule learning.
Expert Syst. Appl., 2017
Proceedings of the Natural Language Processing and Information Systems, 2017
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression.
Proceedings of the Discovery Science - 20th International Conference, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017
2016
Using semantic similarity for multi-label zero-shot classification of text documents.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype.
Proceedings of the Discovery Science - 19th International Conference, 2016
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization.
Proceedings of the COLING 2016, 2016
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation.
Proceedings of the COLING 2016, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space.
Proceedings of the 3rd International Conference on Learning Representations, 2015
Proceedings of the Rule Technologies: Foundations, Tools, and Applications, 2015
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Ninth International Conference on Web and Social Media, 2015
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015
2014
Mach. Learn., 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 16th LWA Workshops: KDML, 2014
Knowledge Discovery in Scientific Literature.
Proceedings of the 12th Edition of the Konvens Conference, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
Proceedings of the Asian Conference on Machine Learning, 2013
2012
Cognitive Technologies, Springer, ISBN: 978-3-540-75196-0, 2012
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.
Mach. Learn., 2012
Data Min. Knowl. Discov., 2012
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012
Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction.
Proceedings of the Discovery Science - 15th International Conference, 2012
2011
A review and comparison of strategies for handling missing values in separate-and-conquer rule learning.
J. Intell. Inf. Syst., 2011
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Heuristic Rule-Based Regression via Dynamic Reduction to Classification.
Proceedings of the Report of the symposium "Lernen, 2011
Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier.
Proceedings of the Discovery Science - 14th International Conference, 2011
Proceedings of the Discovery Science - 14th International Conference, 2011
2010
Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
SIGKDD Explor., 2010
J. Comput. Syst. Sci., 2010
Neurocomputing, 2010
Data Min. Knowl. Discov., 2010
Proceedings of the LWA 2010, 2010
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
Proceedings of the Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language, 2010
Proceedings of the Discovery Science - 13th International Conference, 2010
Proceedings of the Preference Learning., 2010
2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
On Table Extraction from Text Sources with Markups.
Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009
An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules.
Proceedings of the Discovery Science, 12th International Conference, 2009
2008
Learning the Piece Values for Three Chess Variants.
J. Int. Comput. Games Assoc., 2008
Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
A Comparison of Techniques for Selecting and Combining Class Association Rules.
Proceedings of the LWA 2008, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics.
Proceedings of the Discovery Science, 11th International Conference, 2008
2007
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
Proceedings of the LWA 2007: Lernen - Wissen, 2007
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
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
A Unified Model for Multilabel Classification and Ranking.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006
2005
Mach. Learn., 2005
On Position Error and Label Ranking through Iterated Choice.
Proceedings of the Lernen, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
Proceedings of the Semantics, Web and Mining, Joint International Workshops, 2005
Web Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
2004
Modeling Rule Precision.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
Proceedings of the Machine Learning: ECML 2004, 2004
Proceedings of the Local Pattern Detection, 2004
2003
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2002
Proceedings of the Machine Learning: ECML 2002, 2002
Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002
2001
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001
Round Robin Rule Learning.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
2000
Searching for Patterns in Political Event Sequences: Experiments with the Keds Database.
Cybern. Syst., 2000
Learning to Use Operational Advice.
Proceedings of the ECAI 2000, 2000
1999
J. Int. Comput. Games Assoc., 1999
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999
1998
Appl. Artif. Intell., 1998
1997
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997
On Effort in AI Research: A Description Along Two Dimensions.
Proceedings of the Deep Blue Versus Kasparov: The Significance for Artificial Intelligence, 1997
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997
1996
J. Int. Comput. Games Assoc., 1996
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996
1995
Proceedings of the Machine Learning: ECML-95, 1995
1994
A Comparison of Pruning Methods for Relational Concept Learning.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994
Proceedings of the Machine Learning: ECML-94, 1994
Top-Down Pruning in Relational Learning.
Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994