All publications sorted by journal and type

AI Communications


Applied Artificial Intelligence

Marco Ghiglieri and Johannes Fürnkranz, Learning to Recognize Missing E-mail Attachments (2010), in: Applied Artificial Intelligence, 24:5(443-462)
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Johannes Fürnkranz, Christian Holzbaur and Robert Temel, User Profiling for the Melvil Knowledge Retrieval System (2002), in: Applied Artificial Intelligence, 16:4(243--281)
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Johannes Fürnkranz and Bernhard Pfahringer, Guest Editorial: First-Order Knowledge Discovery in Databases (1998), in: Applied Artificial Intelligence, 12:5(345--361)
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Johannes Fürnkranz, Johann Petrak and Robert Trappl, Knowledge Discovery in International Conflict Databases (1997), in: Applied Artificial Intelligence, 11:2(91--118)
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Artificial Intelligence

Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng and Klaus Brinker, Label Ranking by Learning Pairwise Preferences (2008), in: Artificial Intelligence, 172:16–17(1897--1916)
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Artificial Intelligence Review

Johannes Fürnkranz, Separate-and-Conquer Rule Learning (1999), in: Artificial Intelligence Review, 13:1(3--54)
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arXiv preprint arXiv:1412.6881


Cybernetics and Systems


Dagstuhl Reports


Data & Knowledge Engineering Journal, Special Issue on Contribution of Ontologies in Designing Advanced Information Systems

Heiko Paulheim and Florian Probst, Application Integration on the User Interface Level: an Ontology-Based Approach (2010), in: Data & Knowledge Engineering Journal, Special Issue on Contribution of Ontologies in Designing Advanced Information Systems, 69:11(1103-1116)
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Data Mining and Knowledge Discovery

Johannes Fürnkranz, Editorial (2015), in: Data Mining and Knowledge Discovery, 29:1(1--2)
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Sang-Hyeun Park and Johannes Fürnkranz, Efficient prediction algorithms for binary decomposition techniques (2012), in: Data Mining and Knowledge Discovery, 24:1(40-77)
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Johannes Fürnkranz and Arno J. Knobbe, Guest Editorial: Global Modeling using Local Patterns (2010), in: Data Mining and Knowledge Discovery, 21:1(1--8)
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European Journal of Population


Expert Systems with Applications


Group Decision and Negotiation


HMD Praxis der Wirtschaftsinformatik


IEEE Transactions on Computational Intelligence and AI in Games

Christian Wirth and Johannes Fürnkranz, On Learning from Game Annotations (2015), in: IEEE Transactions on Computational Intelligence and AI in Games, 7:3(304-316)
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IEEE Transactions on Computationl Intelligence and AI in Games

Tobias Joppen, Miriam Moneke, Nils Schröder, Christian Wirth and Johannes Fürnkranz, Informed Hybrid Game Tree Search (2017), in: IEEE Transactions on Computationl Intelligence and AI in Games, PP:99(1--1)
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ILP Newsletter


Information Fusion


Information Processing Letters

Gunter Grieser and Steffen Lange, Incremental Learning of Approximations from positive data (2004), in: Information Processing Letters, 89:1(37--42)

Information Sciences

Johannes Fürnkranz and Eyke Hüllermeier, Special Issue on Discovery Science (2016), in: Information Sciences, 329(849--850)
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Information Systems


Intelligent Data Analysis

Johannes Fürnkranz, Round Robin Ensembles (2003), in: Intelligent Data Analysis, 7:5(385--404)
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International Computer Chess Association Journal

Johannes Fürnkranz and Miroslav Kubat, Workshop Report: Machine Learning in Game Playing (1999), in: International Computer Chess Association Journal, 22:3(178,179,165)
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Franz-Günter Winkler and Johannes Fürnkranz, A Hypothesis on the Divergence of AI Research (1998), in: International Computer Chess Association Journal, 21:1(3--13)
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Johannes Fürnkranz, Machine Learning in Computer Chess: The Next Generation (1996), in: International Computer Chess Association Journal, 19:3(147--161)
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International Computer Games Association Journal

Sacha Droste and Johannes Fürnkranz, Learning the Piece Values for Three Chess Variants (2008), in: International Computer Games Association Journal, 31:4(209--233)
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International Journal on Computer Science and Applications (IJCSA)

Heiko Paulheim, Improving the Usability of Integrated Applications by Using Interactive Visualizations of Linked Data (2011), in: International Journal on Computer Science and Applications (IJCSA), 8:2
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International Journal on Semantic Web and Information Systems

Heiko Paulheim and Florian Probst, Ontology-Enhanced User Interfaces: A Survey (2010), in: International Journal on Semantic Web and Information Systems, 6:2(36-59)
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JavaSpektrum


Journal of Artificial Intelligence Research

Johannes Fürnkranz, Integrative Windowing (1998), in: Journal of Artificial Intelligence Research, 8(129--164)
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Journal of Computer and System Sciences

Eyke Hüllermeier and Johannes Fürnkranz, On Predictive Accuracy and Risk Minimization in Pairwise Label Ranking (2010), in: Journal of Computer and System Sciences, 76:1(49--62)
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Journal of Intelligent Information Systems


Journal of Machine Learning Research

Johannes Fürnkranz, Round Robin Classification (2002), in: Journal of Machine Learning Research, 2(721--747)
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Künstliche Intelligenz

Johannes Fürnkranz and Eyke Hüllermeier, Preference Learning (2005), in: Künstliche Intelligenz, 19:1(60--61)
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Machine Learning

Eyke Hüllermeier and Johannes Fürnkranz, Editorial: Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3(185--189)
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Johannes Fürnkranz, Pruning Algorithms for Rule Learning (1997), in: Machine Learning, 27:2(139--171)
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MLnet News


Neurocomputing


ÖGAI Journal


ÖGAI--Journal

Johannes Fürnkranz, Bericht über IJCAI-97 und AAAI-97 (1997), in: ÖGAI--Journal, 16:3(30--33)

Semantic Web Journal


SIGKDD Explorations


Theor. Comput. Sci.

Gunter Grieser, Reflective inductive inference of recursive functions (2008), in: Theor. Comput. Sci., 397:1-3(57-69)
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2016

Big Data Analytics in the Social and Ubiquitous Context, Springer, Lecture Notes in Computer Science, volume 9546, 2016
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2012


2011


2010

Preference Learning, Springer-Verlag, 2010
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2008


2001

Machines that Learn to Play Games, Nova Science Publishers, Advances in Computation: Theory and Practice, volume 8, 2001
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2015

Heiko Paulheim, Axel Schulz, Frederik Janssen, Petar Ristoski and Immanuel Schweizer, Intelligente Datenauswertung mit Linked Open Data, in: Corporate Semantic Web: Wie semantische Anwendungen in Unternehmen Nutzen stiften, pages 187--201, Springer Vieweg, 2015
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2014

Petar Ristoski, Eneldo Loza Mencía and Heiko Paulheim, A Hybrid Multi-Strategy Recommender System Using Linked Open Data, in: Semantic Web Evaluation Challenge, Proceedings (ESWC 2014), pages 150-156, Springer, 2014
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Eneldo Loza Mencía and Frederik Janssen, Stacking Label Features for Learning Multilabel Rules, in: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings, pages 192-203, Springer, 2014
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2013

Axel Schulz and Heiko Paulheim, Mashups for the Emergency Management Domain, in: Semantic Mashup, pages 237--260, Springer, 2013
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Johannes Fürnkranz, Rule-Based Methods, in: Encyclopedia of Systems Biology, Springer-Verlag, 2013

2012

Johannes Fürnkranz and Eyke Hüllermeier, Preference Learning, in: Encyclopedia of the Sciences of Learning, pages 986, Springer-Verlag, 2012

2010

Johannes Fürnkranz, Decision List, in: Encyclopedia of Machine Learning, pages 261, Springer-Verlag, 2010
Johannes Fürnkranz, Decision Lists and Decision Trees, in: Encyclopedia of Machine Learning, pages 261--262, Springer-Verlag, 2010
Johannes Fürnkranz, Decision Tree, in: Encyclopedia of Machine Learning, pages 263--267, Springer-Verlag, 2010
Eneldo Loza Mencía and Johannes Fürnkranz, Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Semantic Processing of Legal Texts -- Where the Language of Law Meets the Law of Language, pages 192-215, Springer-Verlag, 2010
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Nada Lavrač, Johannes Fürnkranz and Dragan Gamberger, Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms, in: Advances in Machine Learning I --- Dedicated to the Memory of Professor Ryszard S. Michalski, pages 121--146, Springer-Verlag, 2010
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Johannes Fürnkranz, Machine Learning and Game Playing, in: Encyclopedia of Machine Learning, pages 633--637, Springer-Verlag, 2010
Johannes Fürnkranz and Eyke Hüllermeier, Preference Learning, in: Encyclopedia of Machine Learning, pages 789--795, Springer-Verlag, 2010
Johannes Fürnkranz and Eyke Hüllermeier, Preference Learning and Ranking by Pairwise Comparison, in: Preference Learning, pages 65--82, Springer-Verlag, 2010
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Johannes Fürnkranz and Eyke Hüllermeier, Preference Learning: An Introduction, in: Preference Learning, pages 1--17, Springer-Verlag, 2010
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Johannes Fürnkranz, Pruning, in: Encyclopedia of Machine Learning, pages 817, Springer-Verlag, 2010
Johannes Fürnkranz, Rule Learning, in: Encyclopedia of Machine Learning, pages 875--879, Springer-Verlag, 2010
Johannes Fürnkranz, Web Mining, in: Data Mining and Knowledge Discovery Handbook, pages 913--930, Springer-Verlag, 2010
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2009

Janina Fengel, Heiko Paulheim and Michael Rebstock, Semantic Synchronization in B2B-Transactions, in: Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications, pages 210-234, IGI Global, 2009
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2008

Eyke Hüllermeier and Johannes Fürnkranz, Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants, in: Preferences and Similarities, pages 283--304, Springer-Verlag, 2008
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2006

Hervé Utard and Johannes Fürnkranz, Link-local Features for Hypertext Classification, in: Semantics, Web and Mining, pages 51--64, Springer-Verlag, 2006
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Daniel Druckman, Richard Harris and Johannes Fürnkranz, Modeling International Negotiation: Statistical and Machine Learning Approaches, in: Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention, pages 227--250, Kluwer Academic Publishers, 2006
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2005

Johannes Fürnkranz, Web Mining, in: Data Mining and Knowledge Discovery Handbook, pages 899--920, Springer-Verlag, 2005
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2003

Francesco C. Billari, Alexia Prskawetz and Johannes Fürnkranz, On the Cultural Evoluation of Age-at-marriage Norms, in: Agent-Based Computational Demography, pages 139--157, Physica-Verlag / Springer, 2003
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2001

Johannes Fürnkranz, Machine Learning in Games: A Survey, in: Machines that Learn to Play Games, pages 11--59, Nova Science Publishers, 2001
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2017

Andrei Tolstikov, Frederik Janssen and Johannes Fürnkranz, Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression, in: Proceedings of the 20th International Conference on Discovery Science (DS-17), Springer-Verlag, 2017
Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Fürnkranz, Kristian Kersting, Stefan Roth and Edwin Simpson, Interactive Data Analytics for the Humanities, in: Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing-17), pages To appear, Springer-Verlag, 2017
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim and Johannes Fürnkranz, Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification, in: Advances in Neural Information Processing Systems 30 (NIPS-17), pages 5419--5429, 2017
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Mohammed Arif Khan, Asif Ekbal, Eneldo Loza Mencía and Johannes Fürnkranz, Multi-Objective Optimisation-based Feature Selection for Multi-Label Classification, in: Proceedings of the 22nd International Conference on Natural Language and Information Systems (NLDB-17), pages 38--41, Springer-Verlag, 2017
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Camila González, Eneldo Loza Mencía and Johannes Fürnkranz, Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction, in: Proceedings of the 20th International Conference on Discovery Science (DS-17), pages 127--143, Springer-Verlag, 2017
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2016

Jinseok Nam, Eneldo Loza Mencía and Johannes Fürnkranz, All-in Text: Learning Document, Label, and Word Representations Jointly, in: Proceedings of the 30th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, pages 1948--1954, AAAI Press, 2016
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Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization, in: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, Berlin, Germany, pages 84-94, Association for Computational Linguistics, 2016
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Jan Ruben Zilke, Eneldo Loza Mencía and Frederik Janssen, DeepRED -- Rule Extraction from Deep Neural Networks, in: Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19--21, 2016, Proceedings, pages 457--473, Springer International Publishing, 2016
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Hani Salah and Thorsten Strufe, Evaluating and mitigating a Collusive version of the Interest Flooding Attack in NDN, in: Proceedings of the {IEEE} Symposium on Computers and Communication, {ISCC-16}, pages 938--945, {IEEE} Computer Society, 2016
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Zheng Ma, Jinseok Nam and Karsten Weihe, Improve Sentiment Analysis of Citations with Author Modelling, in: Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA@NAACL-HLT-16), pages 122--127, The Association for Computer Linguistics, 2016
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Eneldo Loza Mencía, Gerard de Melo and Jinseok Nam, Medical Concept Embeddings via Labeled Background Corpora, in: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pages 4629--4636, European Language Resources Association (ELRA), 2016
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Christian Wirth, Johannes Fürnkranz and Gerhard Neumann, Model-Free Preference-based Reinforcement Learning, in: Proceedings of the 30th {AAAI} Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, pages 2222--2228, 2016
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Sebastian Kauschke, Johannes Fürnkranz and Frederik Janssen, Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype, in: Proceedings of the 19th International Conference on Discovery Science (DS-16), Bari, Italy, pages 151--166, Springer-Verlag, 2016
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Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization, in: Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, pages 1071-1082, The COLING 2016 Organizing Committee, 2016
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Julius Stecher, Frederik Janssen and Johannes Fürnkranz, Shorter Rules Are Better, Aren't They?, in: Proceedings of the 19th International Conference on Discovery Science (DS-16), pages 279--294, Springer-Verlag, 2016
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Christian Meurisch, Usman Naeem, Muhammad Awais Azam, Frederik Janssen, Benedikt Schmidt and Max Mühlhäuser, Smarticipation: intelligent personal guidance of human behavior utilizing anticipatory models, in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Adjunct 2016, Heidelberg, Germany, pages 1227--1230, 2016
Markus Zopf, Maxime Peyrard and Judith Eckle{-}Kohler, The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach, in: Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, pages 1535-1545, The COLING 2016 Organizing Committee, 2016
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Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Mencía and Johannes Fürnkranz, Using Semantic Similarity for Multi-Label Zero-Shot Classification of Text Documents, in: Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-16), d-side publications, 2016
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Fabian Hirschmann, Jinseok Nam and Johannes Fürnkranz, What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation, in: Proceedings of the 26th International Conference on Computational Linguistics (COLING-16), pages 3199--3208, ACL, 2016
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2015

Johannes Fürnkranz and Tomás Kliegr, A Brief Overview of Rule Learning, in: Rule Technologies: Foundations, Tools, and Applications -- Proceedings of the 9th International Symposium (RuleML-15), pages 54--69, Springer, 2015
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Axel Schulz, Jakob Karolus, Frederik Janssen and Immanuel Schweizer, Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data, in: Proceedings of the International Conference on Networked Systems (NetSys2015), Cottbus, Germany, pages 1--8, IEEE, 2015
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Axel Schulz, Frederik Janssen, Petar Ristoski and Johannes Fürnkranz, Event-Based Clustering for Reducing Labeling Costs of Event-Related Microposts, in: Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM-15), Oxford, UK, pages 686--690, AAAI Press, 2015
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Axel Schulz, Petar Ristoski, Johannes Fürnkranz and Frederik Janssen, Event-Based Clustering for Reducing Labeling Costs of Incident-Related Microposts, in: Proceedings of the ICML-15 2nd International Workshop on Mining Urban Data (MUD-15), Lille, France, pages 44--52, CEUR workshop proceedings, 2015
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Sebastian Kauschke, Frederik Janssen and Immanuel Schweizer, On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application, in: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., pages 121-132, CEUR Workshop Proceedings, 2015
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Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim and Johannes Fürnkranz, Predicting Unseen Labels using Label Hierarchies in Large-Scale Multi-label Learning, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, pages 102-118, Springer International Publishing, 2015
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Markus Zopf, SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time, in: The Twenty-Fourth Text Retrieval Conference Proceedings, Gaithersburg, Maryland, USA, National Institute of Standards and Technology, 2015
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Mohammed Arif Khan, Asif Ekbal and Eneldo Loza Mencía, Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis, in: Proceedings of the 12th International Conference on Natural Language Processing (ICON), Trivandrum, India, pages 285--294, NLP Association of India, 2015
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2014

Axel Schulz, Eneldo Loza Mencía, Thanh Tung Dang and Benedikt Schmidt, Evaluating Multi-label Classification of Incident-related Tweets, in: Proceedings, 4th Workshop on Making Sense of Microposts {(\#Microposts2014)} at WWW: Big things come in small packages, pages 26--33, 2014
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Christian Brinker, Eneldo Loza Mencía and Johannes Fürnkranz, Graded Multilabel Classification by Pairwise Comparisons, in: 2014 IEEE International Conference on Data Mining (ICDM 2014), pages 731--736, Curran Associates, IEEE, 2014
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Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych and Johannes Fürnkranz, Large-Scale Multi-label Text Classification - Revisiting Neural Networks, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2, pages 437--452, Springer Berlin Heidelberg, 2014
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Alexander Gabriel, Heiko Paulheim and Frederik Janssen, Learning Semantically Coherent Rules, in: Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), pages 49--63, CEUR Workshop Proceedings, 2014
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Sebastian Kauschke, Immanuel Schweizer, Michael Fiebrig and Frederik Janssen, Learning to Predict Component Failures in Trains, in: Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, pages 71--82, CEUR Workshop Proceedings, 2014
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Christian Wirth and Johannes Fürnkranz, Preference Learning from Annotated Game Databases, in: Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, pages 57--68, CEUR-WS.org, 2014
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Jinseok Nam, Semi-Supervised Neural Networks for Nested Named Entity Recognition, in: Workshop on GermEval 2014 Named Entity Recognition Shared Task, KONVENS, Hildesheim, pages 144-148, 2014
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Julius Stecher, Frederik Janssen and Johannes Fürnkranz, Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 3, pages 114--129, Springer, 2014
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Axel Schulz and Frederik Janssen, What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction, in: Proceedings of the Fifth Workshop on Semantics for Smarter Cities (a Workshop at the 13th International Semantic Web Conference (ISWC 2014)), Riva del Garda, Italy, pages 53--67, 2014
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2013

Christian Wirth and Johannes Fürnkranz, A Policy Iteration Algorithm for Learning from Preference-based Feedback, in: Advances in Intelligent Data Analysis XII: 12th International Symposium (IDA-13), pages 427--437, Springer-Verlag, 2013
Christian Wirth and Johannes Fürnkranz, EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning, in: Proceedings of the 5th Asian Conference on Machine Learning, (ACML-13), pages 483--497, JMLR.org, 2013
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Christian Wirth and Johannes Fürnkranz, Learning from Trajectory-Based Action Preferences, in: Proceedings of the ICRA 2013 Workshop on Autonomous Learning, Karslruhe, 2013
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Eneldo Loza Mencía, Jinseok Nam and Dong-Hyun Lee, Learning multi-labeled bioacoustic samples with an unsupervised feature learning approach, in: Proceedings of Neural Information Scaled for Bioacoustics, from Neurons to Big Data, NIPS Int. Conf., pages 184-189, 2013
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Christian Wirth and Johannes Fürnkranz, Preference-Based Reinforcement Learning: A Preliminary Survey, in: Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning from Generalized Feedback: Beyond Numeric Rewards, 2013
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Eneldo Loza Mencía and Frederik Janssen, Towards Multilabel Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, pages 155--158, 2013
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Eneldo Loza Mencía, Simon Holthausen, Axel Schulz and Frederik Janssen, Using Data Mining on Linked Open Data for Analyzing E-Procurement Information, in: Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD2013, 2013
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2012

Heiko Paulheim, Daniel Oberle, Roland Plendl and Florian Probst, An Architecture for Information Exchange based on Reference Models, in: 4th International Conference on Software Language Engineering (SLE 2011), 2012
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Daniel Hienert, Daniel Wegener and Heiko Paulheim, Automatic Classification and Relationship Extraction for Multi-Lingual and Multi-Granular Events from Wikipedia, in: Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012), pages 1-10, 2012
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Axel Schulz, Heiko Paulheim and Florian Probst, Crisis Information Management in the Web 3.0 Age, in: 9th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 2012
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Johannes Fürnkranz and Sang-Hyeun Park, Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction, in: Proceedings of the 15th International Conference on Discovery Science (DS-12), pages 254--267, Springer, 2012
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Heiko Paulheim, Explain-a-LOD: Using Linked Open Data for Interpreting Statistics, in: International Conference on Intelligent User Interfaces (IUI 2012), pages 313-314, 2012
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Christian Wirth and Johannes Fürnkranz, First Steps Towards Learning from Game Annotations, in: Proceedings of the {ECAI} Workshop on Preference Learning: Problems and Applications in AI, Montpellier, pages 53-58, 2012
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Heiko Paulheim, Generating Possible Interpretations for Statistics from Linked Open Data, in: 9th Extended Semantic Web Conference (ESWC), pages 560-574, 2012
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Sven Hertling, Hertuda results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012
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Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz and Arno J. Knobbe, Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, in: Advances in Intelligent Data Analysis XI -- Proceedings of the 11th International Symposium on Data Analysis (IDA-11), Berlin, pages 114--125, Springer, 2012
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Heiko Paulheim, Nobody Wants to Live in a Cold City where no Music Has Been Recorded - Analyzing Statistics with Explain-a-LOD, in: 9th Extended Semantic Web Conference (ESWC), Workshops and Demos, pages 387-391, 2012
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Heiko Paulheim, Ontologiebasierte Applikationsintegration auf Nutzerschnittstellenebene, in: Ausgezeichnete Informatikdissertationen 2011, pages 133-142, 2012
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Frederik Janssen and Markus Zopf, The SeCo-Framework for Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2012, Dortmund, Germany, 2012
Frederik Janssen, Faraz Fallahi, Jan Noessner and Heiko Paulheim, Towards Rule Learning Approaches to Instance-based Ontology Matching, in: 1st International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), pages 13--18, 2012
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Heiko Paulheim and Johannes Fürnkranz, Unsupervised Generation of Data Mining Features from Linked Open Data, in: International Conference on Web Intelligence and Semantics (WIMS'12), 2012
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Heiko Paulheim, WeSeE-Match results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012
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Heiko Paulheim and Jeff Z. Pan, Why the Semantic Web Should Become More Imprecise, in: What will the Semantic Web look like 10 years from now?, 2012
Sven Hertling and Heiko Paulheim, WikiMatch - Using Wikipedia for Ontology Matching, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012
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Sven Hertling and Heiko Paulheim, WikiMatch results for OEAI 2012, in: Seventh International Workshop on Ontology Matching (OM 2012), 2012
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2011

Heiko Paulheim and Florian Probst, A Formal Ontology on User Interfaces - Yet Another User Interface Description Language?, in: Proceedings of the Second Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS), 2011
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Tobias Wieschnowsky and Heiko Paulheim, A Visual Tool for Supporting Developers in Ontology-based Application Integration, in: 7th International Workshop on Semantic Web Enabled Software Engineering, 2011
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Heiko Paulheim and Lars Meyer, Developing Efficient Ontology-based Systems Using A-box Data from Running Applications, in: 7th International Workshop on Semantic Web Enabled Software Engineering, 2011
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Frederik Janssen and Johannes Fürnkranz, Heuristic Rule-Based Regression via Dynamic Reduction to Classification, in: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, pages 1330--1335, 2011
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Heiko Paulheim, Improving the Usability of Integrated Applications by Using Visualizations of Linked Data, in: Proceedings of the International Conference on Web Intelligence, Mining and Semantics (WIMS'11), 2011
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Eyke Hüllermeier and Johannes Fürnkranz, Learning from Label Preferences, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 2--17, Springer, 2011
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Eyke Hüllermeier and Johannes Fürnkranz, Learning from Label Preferences, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory (ALT-11), pages 38, Springer, 2011
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Axel Schulz, Benedikt Schmidt and Heiko Paulheim, LiCoRMS – Towards a Resource Management System Based on Lifecycle and Content Information, in: 7th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2011), pages 292-295, 2011
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Heiko Paulheim, Roland Plendl, Florian Probst and Daniel Oberle, Mapping Pragmatic Class Models to Reference Ontologies, in: The 2011 IEEE 27th International Conference on Data Engineering Workshops - 2nd International Workshop on Data Engineering meets the Semantic Web (DESWeb), pages 200-205, 2011
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Heiko Paulheim and Lars Meyer, Ontology-based Information Visualization in Integrated UIs, in: Proceedings of the 2011 International Conference on Intelligent User Interfaces (IUI), pages 451-452, ACM, 2011
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Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier and Sang-Hyeun Park, Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning, in: Proceedings of the 22nd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011, Athens, Greece), Part I, pages 312--327, Springer, 2011
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Jan-Nikolas Sulzmann and Johannes Fürnkranz, Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 323--334, Springer, 2011
[DOI]
Grigori Babitski, Simon Bergweiler, Olaf Grebner, Daniel Oberle, Heiko Paulheim and Florian Probst, SoKNOS - Using Semantic Technologies in Disaster Management Software, in: The Semantic Web: Research and Applications (ESWC 2011), Part II, pages 183-197, 2011
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Benedikt Schmidt, Heiko Paulheim, Todor Stoitsev and Max Mühlhäuser, Towards a Formalization of Individual Work Execution at Computer Workplaces, in: 19th International Conference on Conceptual Structures (ICCS 2011), pages 270-283, 2011
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2010

Philip Paulsen and Johannes Fürnkranz, A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths, in: Proceedings of the ICML-10 Workshop on Machine Learning and Games, 2010
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Eneldo Loza Mencía, An Evaluation of Multilabel Classification for the Automatic Annotation of Texts, in: Proceedings of the LWA 2010: Lernen, Wissen, Adaptivität, Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML 2010), Kassel, pages 121-123, 2010
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Heiko Paulheim, Efficient Semantic Event Processing: Lessons Learned in User Interface Integration, in: The Semantic Web: Research and Applications, Part II, pages 60-74, Springer, 2010
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Sang-Hyeun Park, Lorenz Weizsäcker and Johannes Fürnkranz, Exploiting Code Redundancies in ECOC, in: Proceedings of the 13th International Conference on Discovery Science (DS-10), pages 266--280, Springer, 2010
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Heiko Paulheim and Florian Probst, Improving UI Integration with Formal Semantics, in: Proceedings of the Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS), 2010
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Eneldo Loza Mencía, Multilabel Classification in Parallel Tasks, in: Working Notes of the 2nd International Workshop on Learning from Multi-Label Data at ICML/COLT 2010, Haifa, Israel, pages 29-36, 2010
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Jan-Nikolas Sulzmann and Johannes Fürnkranz, Probability Estimation and Aggregation for Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2010, Kassel, Germany, pages 143--150, 2010
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Heiko Paulheim and Atila Erdogan, Seamless Integration of Heterogeneous UI Components, in: Proceedings of the 2nd ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2010), pages 303-308, ACM, 2010
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Heiko Paulheim, Seamlessly Integrated, but Loosely Coupled - Building UIs from Heterogeneous Components, in: ASE '10: Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, Antwerp, Belgium, pages 123--126, ACM, 2010
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Frederik Janssen and Johannes Fürnkranz, Separate-and-conquer Regression, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2010, Kassel, Germany, pages 81--89, 2010
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2009

Frederik Janssen and Johannes Fürnkranz, A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, in: Proceedings of the SIAM International Conference on Data Mining (SDM-09), pages 329--340, 2009
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Jan-Nikolas Sulzmann and Johannes Fürnkranz, A Study of Probability Estimation Techniques for Rule Learning, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-09 Workshop (LeGo-09), pages 123--138, 2009
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Jan-Nikolas Sulzmann and Johannes Fürnkranz, An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules, in: Proceedings of the 12th International Conference on Discovery Science (DS-09), Porto, Portugal, pages 317--331, Springer-Verlag, 2009
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Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the 32nd Annual German Conference on Artificial Intelligence (KI 2009, Paderborn, Germany), pages 65--72, Springer, 2009
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Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), pages 100--104, 2009
Johannes Fürnkranz, Eyke Hüllermeier and Stijn Vanderlooy, Binary Decomposition Methods for Multipartite Ranking, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-09), pages 359--374, Springer-Verlag, 2009
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Sang-Hyeun Park and Johannes Fürnkranz, Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification, in: Proceedings of the 20th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009, Bled, Slovenia), Part II, pages 189--204, Springer, 2009
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[DOI]
Eneldo Loza Mencía, Sang-Hyeun Park and Johannes Fürnkranz, Efficient Voting Prediction for Pairwise Multilabel Classification, in: Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN 2009, Bruges, Belgium), pages 117--122, d-side publications, 2009
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Eneldo Loza Mencía, Sang-Hyeun Park and Johannes Fürnkranz, Efficient Voting Prediction for Pairwise Multilabel Classification, in: Proceedings of the LWA 2009: Lernen - Wissen - Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), Darmstadt, Germany, pages 72--75, 2009
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Heiko Paulheim, Sebastian Döweling, Karen H. L. Tso-Sutter, Florian Probst and Thomas Ziegert, Improving Usability of Integrated Emergency Response Systems: The SoKNOS Approach, in: Informatik 2009: Im Focus das Leben, Beiträge der 39. Jahrestagung der Gesellschaft füur Informatik e.V. (GI), 28.9.-2.10.2009, Lübeck, Proceedings, pages 1435-1349, GI, 2009
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Lorenz Weizsäcker and Johannes Fürnkranz, On Table Extraction from Text Sources with Markups, in: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Information Retrieval (WIR-09), pages 1--8, 2009
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Grigorios Tsoumakas, Eneldo Loza Mencía, Ioannis Katakis, Sang-Hyeun Park and Johannes Fürnkranz, On the Combination of Two Decompositive Multi-Label Classification Methods, in: Proceedings of the ECML PKDD 2009 Workshop on Preference Learning (PL-09, Bled, Slovenia), pages 114--129, 2009
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Heiko Paulheim, Ontologies for User Interface Integration, in: The Semantic Web - ISWC 2009, 8th International Semantic Web Conference, ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Proceedings, pages 973-981, Springer, 2009
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Heiko Paulheim, Ontology-based modularization of user interfaces, in: Proceedings of the 1st ACM SIGCHI symposium on Engineering Interactive Computing System , EICS 2009, Pittsburgh, PA, USA, July 15-17, 2009, pages 23-28, ACM, 2009
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Eneldo Loza Mencía, Segmentation of legal documents, in: Proceedings of the 12th International Conference on Artificial Intelligence and Law, Barcelona, Spain, pages 88--97, ACM, 2009
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2008

Jan-Nikolas Sulzmann and Johannes Fürnkranz, A Comparison of Techniques for Selecting and Combining Class Association Rules, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-08 Workshop (LeGo-08), pages 154--168, 2008
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Jan-Nikolas Sulzmann and Johannes Fürnkranz, A Comparison of Techniques for Selecting and Combining Class Association Rules, in: Proceedings of the LWA 2008: Lernen -- Wissen -- Adaption, pages "", 2008
Frederik Janssen and Johannes Fürnkranz, A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2008, pages 42-50, 2008
Frederik Janssen and Johannes Fürnkranz, An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics, in: Proceedings of the 11th International Conference on Discovery Science (DS-08), pages 40--51, Springer-Verlag, 2008
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Eneldo Loza Mencía and Johannes Fürnkranz, An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Proceedings of the LREC 2008 Workshop on Semantic Processing of Legal Texts, pages 23-32, 2008
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Eneldo Loza Mencía and Johannes Fürnkranz, Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Disocvery in Databases (ECML-PKDD-2008), Part II, pages 50--65, Springer, 2008
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Arno J. Knobbe, Bruno Crémilleux, Johannes Fürnkranz and Martin Scholz, From Local Patterns to Global Models: The LeGo Approach to Data Mining, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-08 Workshop (LeGo-08), pages 1--16, 2008
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Dragan Gamberger, Nada Lavrač and Johannes Fürnkranz, Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach, in: Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), pages 636--645, Springer-Verlag, 2008
Sang-Hyeun Park and Johannes Fürnkranz, Multi-Label Classification with Label Constraints, in: Proceedings of the ECML PKDD 2008 Workshop on Preference Learning (PL-08, Antwerp, Belgium), pages 157--171, 2008
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Heiko Paulheim, On Applying Matching Tools to Large-scale Ontologies, in: Proceedings of the 3rd International Workshop on Ontology Matching (OM-2008) Collocated with the 7th International Semantic Web Conference (ISWC-2008), Karlsruhe, Germany, October 26, 2008, CEUR-WS.org, 2008
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Eneldo Loza Mencía and Johannes Fürnkranz, Pairwise Learning of Multilabel Classifications with Perceptrons, in: Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN-08), IEEE, pages 2900--2907, 2008
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2007

Heiko Paulheim, Michael Rebstock and Janina Fengel, Context-Sensitive Referencing for Ontology Mapping Disambiguation, in: Workshop on Contexts and Ontologies: Reasoning and Representation (C&O:RR-2007), pages 47-56, 2007
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Michael Rebstock, Janina Fengel and Heiko Paulheim, Context-Sensitive Semantic Synchronization in Electronic Negotations, in: Group Decision and Negotiation Meeting, pages 253-264, 2007
Heiko Paulheim, Michael Rebstock and Janina Fengel, Dynamic Semantic Synchronization in E-Business, in: 1st European Semantic Technology Conference (ESTC), 2007
Sang-Hyeun Park and Johannes Fürnkranz, Efficient Pairwise Classification, in: Proceedings of the 18th European Conference on Machine Learning (ECML 2007, Warsaw, Poland), pages 658--665, Springer-Verlag, 2007
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Frederik Janssen and Johannes Fürnkranz, Meta-Learning Rule Learning Heuristics, in: Proceedings of ECML-PKDD-07 Workshop on Planning to Learn (PlanLearn-07), pages 9-21, 2007
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Frederik Janssen and Johannes Fürnkranz, Meta-Learning Rule Learning Heuristics, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2007, pages 167--174, 2007
Frederik Janssen and Johannes Fürnkranz, On Meta-Learning Rule Learning Heuristics, in: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM-07), pages 529--534, 2007
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Eyke Hüllermeier and Johannes Fürnkranz, On Minimizing the Position Error in Label Ranking, in: Proceedings of 18th European Conference on Machine Learning (ECML-07), pages 583--590, Springer-Verlag, 2007
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Jan-Nikolas Sulzmann, Johannes Fürnkranz and Eyke Hüllermeier, On Pairwise Naive Bayes Classifiers, in: Proceedings of 18th European Conference on Machine Learning (ECML-07), pages 371--381, Springer-Verlag, 2007
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2006

Klaus Brinker, Johannes Fürnkranz and Eyke Hüllermeier, A Unified Model for Multilabel Classification and Ranking, in: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI-06), pages 489--493, 2006
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Klaus Brinker and Eyke Hüllermeier, Case-Based Label Ranking, in: Proceedings of the 17th European Conference on Machine Learning (ECML-06), pages 566--573, Springer-Verlag, 2006
Bin Wang and Harry Zhang, Improving the Ranking Performance of Decision Trees, in: Proceedings of the 17th European Conference on Machine Learning (ECML-06), pages 461--472, Springer-Verlag, 2006
Frederik Janssen and Johannes Fürnkranz, On Trading Off Consistency and Coverage in Inductive Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2006, pages 306--313, Gesellschaft für Informatik e. V. (GI), 2006
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Arno J. Knobbe and Eric K. Y. Ho, Pattern Teams, in: Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-06), pages 577--584, Springer-Verlag, 2006
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2005

Gunter Grieser and Steffen Lange, Changing the perspective: Interaction scenarios that take the needs of the machine into account, in: Int.\ Workshop on Perspectives of Intelligent System's Assistence, Idea Group, 2005
Johannes Fürnkranz, From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms, in: Local Pattern Detection, pages 20--38, Springer-Verlag, 2005
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Eyke Hüllermeier and Johannes Fürnkranz, Learning Label Preferences: Ranking Error versus Position Error, in: Advances in Intelligent Data Analysis: Proceedings of the 6th International Symposium (IDA-05), pages 180--191, Springer-Verlag, 2005
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Hervé Utard and Johannes Fürnkranz, Link-local Features for Hypertext Classification, in: Proceedings of the European Web Mining Forum (EWMF-05): Workshop at ECML/PKDD-05, pages 40--51, 2005
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Bernhard Pfahringer, Geoffrey Holmes and C. Wang, Millions of Random Rules, in: Proceedings of the ECML/PKDD Workshop on Advances in Inductive Rule Learning, 2005
Eyke Hüllermeier, Johannes Fürnkranz and Jürgen Beringer, On Position Error and Label Ranking through Iterated Choice, in: {LWA 2005, Lernen Wissensentdeckung Adaptivität}, pages 158--163, German Research Center for Artificial Intelligence (DFKI), 2005
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2004

Klaus P. Jantke, Gunter Grieser and Steffen Lange, Adaptation to the Learners' Needs and Desires by Induction and Negotiation of Hypotheses, in: International Conference on Interactive Computer Aided Learning, ICL 2004, Sept.\ 29 -- Oct.\ 1, 2004, Villach, Austria (CD-ROM), 2004
Johannes Fürnkranz and Peter A. Flach, An Analysis of Stopping and Filtering Criteria for Rule Learning, in: Proceedings of the 15th European Conference on Machine Learning (ECML-04), pages 123--133, Springer-Verlag, 2004
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Eyke Hüllermeier and Johannes Fürnkranz, Comparison of Ranking Procedures in Pairwise Preference Learning, in: Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-04), 2004
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Klaus P. Jantke, Gunter Grieser, Steffen Lange and Martin Memmel, DaMiT: Data Mining lernen und lehren, in: LWA 2004, Lernen -- Wissensentdeckung -- Adaptivität, 4.-6.Oktober 2004, Humboldt-Universität zu Berlin, pages 171--179, 2004
Klaus P. Jantke, Steffen Lange, Gunter Grieser, Peter Grigoriev, Bernhard Thalheim and Bernd Tschiedel, Learning by Doing and Learning When Doing. Dovetailing E-Learning and Decision Support with a Data Mining Tutor, in: Sixth International Conference on Enterprise Information Systems, ICEIS 2004, Porto, Portugal, April 14-17, 2004, Proceedings, Vol. 5, pages 238--241, INSTICC, 2004
Johannes Fürnkranz, Modeling Rule Precision, in: Lernen -- Wissensentdeckung --- Adaptivität. Proceedings of the LWA-04 Workshops, pages 147--154, 2004
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Johannes Fürnkranz, Modeling Rule Precision, in: Proceedings of the ECML/PKDD-04 Workshop on Advances in Inductive Rule Learning, pages 30--45, 2004
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Eyke Hüllermeier and Johannes Fürnkranz, Ranking by Pairwise Comparison: A Note on Risk Minimization, in: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-04), 2004
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Klaus P. Jantke, Gerhard Degel, Gunter Grieser, Martin Memmel, Oleg Rostanin and Bernd Tschiedel, Technology Enhanced Dimensions in e-Learning, in: International Conference on Interactive Computer Aided Learning, ICL 2004, Sept.\ 29 -- Oct.\ 1, 2004, Villach, Austria (CD-ROM), 2004
Klaus P. Jantke, Steffen Lange, Gunter Grieser, Peter Grigoriev, Bernhard Thalheim and Bernd Tschiedel, Work-Integrated E-Learning -- The DaMiT Approach, in: 49.\ Internationales Wissenschaftliches Kolloquium, TU Ilmenau, 27.-30.\ September 2004, Conference Proceedings, Volume 2, pages 333--339, Shaker Verlag, 2004

2003

Johannes Fürnkranz and Peter A. Flach, An Analysis of Rule Evaluation Metrics, in: Proceedings of the 20th International Conference on Machine Learning (ICML-03), pages 202--209, AAAI Press, 2003
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Petr Savicky and Johannes Fürnkranz, Combining Pairwise Classifiers with Stacking, in: Advances in Intelligent Data Analysis: Proceedings of the 5th International Symposium (IDA-03), pages 219--229, Springer-Verlag, 2003
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Johannes Fürnkranz and Eyke Hüllermeier, Pairwise Preference Learning and Ranking, in: Proceedings of the 14th European Conference on Machine Learning (ECML-03), pages 145--156, Springer-Verlag, 2003
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Johannes Fürnkranz and Eyke Hüllermeier, Pairwise Preference Learning and Ranking, in: Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, 2003
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2002

Johannes Fürnkranz, A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning, in: Proceedings of the 13th European Conference on Algorithmic Learning Theory (ALT-02), pages 263--277, Springer-Verlag, 2002
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Johannes Fürnkranz, Pairwise Classification as an Ensemble Technique, in: Proceedings of the 13th European Conference on Machine Learning (ECML-02), pages 97--110, Springer-Verlag, 2002
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2001

Alexander K. Seewald and Johannes Fürnkranz, An Evaluation of Grading Classifiers, in: Advances in Intelligent Data Analysis: Proceedings of the 4th International Conference (IDA-01), pages 115--124, Springer-Verlag, 2001
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Johannes Fürnkranz and Johann Petrak, An Evaluation of Landmarking Variants, in: Proceedings of the ECML/PKDD Workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning (IDDM-2001), pages 57--68, 2001
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Hendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz and Francesco C. Billari, Detecting Temporal Change in Event Sequences: An Application to Demographic Data, in: Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD-01), pages 29--41, Springer-Verlag, 2001
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Johannes Fürnkranz, Round Robin Rule Learning, in: Proceedings of the 18th International Conference on Machine Learning (ICML-01), pages 146--153, Morgan Kaufmann Publishers, 2001
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2000

Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl and Stefan Kramer, Learning to Use Operational Advice, in: Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-00), pages 291--295, IOS Press, 2000
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1999

Johannes Fürnkranz, Exploiting Structural Information for Text Classification on the WWW, in: Advances in Intelligent Data Analysis: Proceedings of the 3rd International Symposium (IDA-99), pages 487--497, Springer-Verlag, 1999
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Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer and Johannes Fürnkranz, Learning to Make Good Use of Operational Advice, in: Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing, 1999
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1998

Johannes Fürnkranz, Tom M. Mitchell and Ellen Riloff, A Case Study in Using Linguistic Phrases for Text Categorization on the WWW, in: Learning for Text Categorization: Proceedings of the 1998 AAAI/ICML Workshop, pages 5--12, AAAI Press, 1998
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1997

Johannes Fürnkranz, Dimensionality Reduction in ILP: A Call to Arms, in: Proceedings of the IJCAI-97 Workshop on Frontiers of Inductive Logic Programming, pages 81--86, 1997
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Robert Trappl, Johannes Fürnkranz, Johann Petrak and Jacob Bercovitch, Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them, in: Learning, Networks and Statistics: Proceedings of the ISSEK-96 Workshop, pages 209--225, Springer-Verlag, 1997
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Johannes Fürnkranz, More Efficient Windowing, in: Proceedings of the 14th National Conference on Artificial Intelligence (AAAI-97), pages 509-514, AAAI Press, 1997
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Johannes Fürnkranz, Noise-Tolerant Windowing, in: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pages 852--857, Morgan Kaufmann, 1997
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Franz-Günter Winkler and Johannes Fürnkranz, On Effort in AI Research: A Description Along Two Dimensions, in: Deep Blue Versus Kasparov: The Significance for Artificial Intelligence: Papers from the 1997 AAAI Workshop, pages 56--62, AAAI Press, 1997
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1996

Uroš Pompe, Igor Kononenko and T. Makse, An application of ILP in a Musical Database: Learning to Compose the Two-Voice Counterpoint, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming (ILP for KDD), 1996
David Lorenzo, Application of Clausal Discovery to Temporal Databases, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming, pages 25--40, 1996
Robert Trappl, Johannes Fürnkranz and Johann Petrak, Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases, in: Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), pages 453--457, John Wiley \& Sons, 1996
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Peter Brockhausen and Katharina Morik, Direct Access of an ILP Algorithm to a Database Management System, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming, pages 95--110, 1996
Hendrik Blockeel and Luc De Raedt, Relational Knowledge Discovery in Databases, in: Proceedings of the MLnet Familiarization Workshop on Data Mining with Inductive Logic Programming, pages 111--124, 1996

1995

Johannes Fürnkranz, A Tight Integration of Pruning and Learning (Extended Abstract), in: Proceedings of the 8th European Conference on Machine Learning (ECML-95), pages 291--294, Springer-Verlag, 1995
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1994

Johannes Fürnkranz, A Comparison of Pruning Methods for Relational Concept Learning, in: Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop (KDD-94), pages 371--382, AAAI Press, 1994
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Johannes Fürnkranz and Gerhard Widmer, Incremental Reduced Error Pruning, in: Proceedings of the 11th International Conference on Machine Learning (ML-94), pages 70--77, Morgan Kaufmann, 1994
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Johannes Fürnkranz, Pruning Methods for Rule Learning Algorithms, in: Proceedings of the 4th International Workshop on Inductive Logic Programming (ILP-94), pages 321--336, 1994
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Johannes Fürnkranz, Top-Down Pruning in Relational Learning, in: Proceedings of the 11th European Conference on Artificial Intelligence (ECAI-94), pages 453--457, John Wiley \& Sons, 1994
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Johannes Fürnkranz, {\sc Fossil}: {A} Robust Relational Learner, in: Proceedings of the 7th European Conference on Machine Learning (ECML-94), pages 122--137, Springer-Verlag, 1994
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1993

Johannes Fürnkranz, Avoiding Noise Fitting in a {\sc Foil}-like Learning Algorithm, in: Proceedings of the IJCAI-93 Workshop on Inductive Logic Programming, pages 14--23, 1993
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2017

Tobias Hecker, Abstrakte Spielbaumsuche für General Game Playing, Knowledge Engineering Group, TU Darmstadt, 2017
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Jan Simon Bunten, Abstraktionsansätze in Multiplayer Poker, TU Darmstadt, Knowledge Engineering Group, 2017
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Philipp Konow, Applying Monte-Carlo Methods for Chess Opening-Book Optimization, Knowledge Engineering Group, TU Darmstadt, 2017
Ferdinand Kameni, Automatic Construction of a Multi-Document Summarization Corpus, TU Darmstadt, Knowledge Engineering Group, 2017
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Miriam Moneke, Dynamische f-Hat Suche in General Video Game Playing, TU Darmstadt, Knowledge Engineering Group, 2017
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Nils Schröder, Ein einheitliches Spiel Such Framework, TU Darmstadt, Knowledge Engineering Group, 2017
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Elvir Sabic, Finding dependencies between time series in satellite data, Knowledge Engineering Group, TU Darmstadt, 2017
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Nils Boeschen, Generating Data-Based Kernels for Regression, Control Methods and Robotics / Knowledge Engineering Group, TU Darmstadt, 2017
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Markus Görgen, Identifying Innovative Firefighter Organizations, Nagaoka University of Technology and TU Darmstadt, 2017
Dennis Kasch, Interpretierbare Outlier Detection, Knowledge Engineering Group, TU Darmstadt, 2017
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Julius Stecher, Preference-based Monte Carlo Tree Search for Mulitplayer Domains, Knowledge Engineering Group, TU Darmstadt, 2017
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Camila González, Reconstruction of Boolean Functions from Deep Neural Networks, TU Darmstadt, Knowledge Engineering Group, 2017
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Bálint Klement, Vorhersage von zukünftigem Slum-Wachstum durch Data Mining, Knowledge Engineering Group, TU Darmstadt, 2017
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2016

Florian Weber, Assessment of U.S. College Quality via Time Series and Panel Data Analysis using College Scorecard, Department of Law and Economics and Knowledge Engineering Group, TU Darmstadt, 2016
Jan Henno Lauinger, Development of Traffic Simulation in a Game Environment, TU Darmstadt, Knowledge Engineering Group, 2016
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Marius Vieth, Ein Modell kortikaler Informationsverarbeitung, TU Darmstadt, Knowledge Engineering Group, 2016
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Rene Wilmes, Graph-Based Intrusion Detection, FG Datenschutz und Datensicherheit, TU Dresden, und FG Knowledge Engineering, TU Darmstadt, 2016
Mahyar Davari, Kollaborative Empfehlungssysteme im E-Commerce, Knowledge Engineering Group, TU Darmstadt, 2016
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Marc Arndt, Maschinelles Lernen in der Anschlussdisposition, Knowledge Engineering Group, TU Darmstadt, 2016
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Michael Gleser, Multi-Label Klassifikation in Bibliothekskatalogen, TU Darmstadt, Knowledge Engineering Group, 2016
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Suiteng Lu, Online Enhancement of existing Nash Equilibrium Poker Agents, TU Darmstadt, Knowledge Engineering Group, 2016
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Jan Geukes, Personalisierter Assistent zur Vorhersage von Spurwechselmanövern, Knowledge Engineering Group, TU Darmstadt, 2016
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Tobias Joppen, Präferenzbasierte Monte Carlo Baumsuche, Knowledge Engineering Group, TU Darmstadt, 2016
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2015

Thomas Arnold, A Machine Learning Approach for Coreference Resolution, Knowledge Engineering Group, TU Darmstadt, 2015
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Klaus Wilhelmi, Assoziationsbasierte Trenderkennung auf Microblogdaten, TU Darmstadt, Knowledge Engineering Group, 2015
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Ying Dong, Beating Kaggle the easy way, TU Darmstadt, Knowledge Engineering Group, 2015
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Jost-Vincent Schultz, Entwickeln einer KI für ein rundenbasiertes Strategiespiel, Knowledge Engineering Group, TU Darmstadt, 2015
Jan Ruben Zilke, Extracting Rules from Deep Neural Networks, TU Darmstadt, Knowledge Engineering Group, 2015
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Igor Cherepanov, Graphbasierte Chunkssuche in Schachdatenbanken, Knowledge Engineering Group, TU Darmstadt, 2015
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Julian Prommer, Modulare Erweiterung des TUD-Pokerframeworks, TU Darmstadt, Knowledge Engineering Group, 2015
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Moritz Kulessa, Online-Lernen von zufälligen Entscheidungsbäumen, TU Darmstadt, Knowledge Engineering Group, 2015
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Mohammed Arif Khan, Sentiment Mining Using Machine Learning Optimization, Department of Mathematics, Indian Institute of Techology, Patna, 2015
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Hossein Rabighomi, Separate-and-Conquer- Lernen von SPARQL-Abfragen, TU Darmstadt, Knowledge Engineering Group, 2015
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Sören Schmidt, Top-Down Induction of Classifier Trees, Knowledge Engineering Group, TU Darmstadt, 2015
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2014

Nam Truong Le, Cloud-based predictive spare parts planning, TU Darmstadt, Knowledge Engineering Group, 2014
Alexander Behrens, Entwicklung einer Recommendation Engine für mobile Apps, TU Darmstadt, Knowledge Engineering Group, 2014
Barbara Zöller, Extraktion von Regeln aus neuronalen Netzen, TU Darmstadt, Knowledge Engineering Group, 2014
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Karsten Will, Finden von häufigen Zugsequenzen in Schachdatenbanken, TU Darmstadt, Knowledge Engineering Group, 2014
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Philipp Plöhn, Kategorisierung von Indizes zur Clustervalidierung, TU Darmstadt, Knowledge Engineering Group, 2014
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Alexander Gabriel, Learning Semantically Coherent Rules, TU Darmstadt, Knowledge Engineering Group, 2014
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Johannes Nachtwey, Nowcasting des Wetters auf Basis von Tweets, TU Darmstadt, Knowledge Engineering Group, 2014
Julius Stecher, Optimizing the AUC with Rule Learning, TU Darmstadt, Knowledge Engineering Group, 2014
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Hien Quoc Dang, Time series outlier detection in spacecraft data, Knowledge Engineering Group, TU Darmstadt, 2014
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Theo Kischka, Trainieren eines Computer-Pokerspielers, TU Darmstadt, Knowledge Engineering Group, 2014
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Christian Brückner, Vergleich verschiedener Ranking-Verfahren in Sport-Turnieren, Knowledge Engineering Group, TU Darmstadt, 2014
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2013

Chahine Abid, A comparison of SVM and Rule- and Decision Tree learning, TU Darmstadt, Knowledge Engineering Group, 2013
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Simon Holthausen, Analyse von Zeitreihen mit Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2013
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Andreas Li, Enhancing Poker Agents with Hand History Statistics, TU Darmstadt, Knowledge Engineering Group, 2013
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Christian Brinker, Graded multilabel classification by pairwise comparison, TU Darmstadt, Knowledge Engineering Group, 2013
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Fabian Hirschmann, Machine learning for the prediction of railway fares, TU Darmstadt, Knowledge Engineering Group, 2013
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Tobias Thiel, Managing a Team of Poker Players, TU Darmstadt, Knowledge Engineering Group, 2013
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Daniel Tanneberg, Minimax based Artificial Intelligences for Tourality, Knowledge Engineering Group, TU Darmstadt, 2013
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Bastian Christoph, Multilabel Learning for personalized Bookmark Classification, TU Darmstadt, Knowledge Engineering Group, 2013
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Dominik Wienand, Outlier Detection in Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2013
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Timo Nolle, Predicting Traffic Volume using User-generated Data, Knowledge Engineering Group, TU Darmstadt, 2013
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Andriy Nadolskyy, Semiüberwachte Paarweise Klassifikation, TU Darmstadt, Knowledge Engineering Group, 2013
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Ji-Ung Lee, Transductive Pairwise Classification, TU Darmstadt, Knowledge Engineeering Group, 2013
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Victor-Philipp Negoescu, Wissensgewinn aus Spieldatenbanken, Knowledge Engineering Group, TU Darmstadt, 2013
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2012

Clemens Dörrhöfer, Echtzeit Recommender System mit Collaborative Filtering, Knowledge Engineering Group, TU Darmstadt, 2012
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Markus Schröder, Enabling Semantic Web Services for Desktop Environment, Knowledge Engineering Group, TU Darmstadt, 2012
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Alexander Seeliger, Entwicklung eines semantischen Browsers für Linked Open Data, Knowledge Engineering Group, TU Darmstadt, 2012
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Nikolaus Korfhage, Lazy Rule Learning, Knowledge Engineering Group, TU Darmstadt, 2012
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Johannes Nachtwey, Lokalisierung von Tweets, Knowledge Engineering Group, TU Darmstadt, 2012
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Oleg Arenz, Monte Carlo Chess, Knowledge Engineering Group, TU Darmstadt, 2012
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Sven Hertling, Ontology Matching with Wikipedia, Knowledge Engineering Group, TU Darmstadt, 2012
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Dimitar Goshev, Road traffic monitoring with location-aware sound sensors, Knowledge Engineering Group, TU Darmstadt, 2012
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Chris Riether, Virtual Actors: An Approach for Autonomous, Synthetic Characters, TU Darmstadt, Knowledge Engineering Group, 2012
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2011

Viktor Seifert, A comparison of algorithms for automated keyword generation, TU Darmstadt, Knowledge Engineering Group, 2011
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Tobias Wieschnowsky, Creating a Developer's Tool for UI Composition, TU Darmstadt, Knowledge Engineering Group, 2011
Max Bank, Eine Grafische Benutzeroberfläche für ein Poker-Spiel, TU Darmstadt, Knowledge Engineering Group, 2011
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Ilyas Yambaev, Frequent Pattern Mining zur Analyse von online Kaufverhalten, Knowledge Engineering Group, TU Darmstadt, 2011
Daniel Fischer, Maschinelles Lernen zur Hautkrebs-Vorhersage, Knowledge Engineering Group, TU Darmstadt, 2011
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Niklas Büscher, On Solving Pentago, Knowledge Engineering Group, TU Darmstadt, 2011
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Denny Dittmar, Ranking von Schach-Evaluationsfunktionen, TU Darmstadt, Knowledge Engineering Group, 2011
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Tobias Krönke, Verbesserungen des Perzeptron-Algorithmus, TU Darmstadt, Knowledge Engineering Group, 2011
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Amir Naseri, Vergleich zwischen geordneten und ungeordneten Regelmengen, Knowledge Engineering, TU Darmstadt, 2011
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Alexander Heinz, Vorhersagequalität zufälliger Baumstrukturen, TU Darmstadt, Knowledge Engineering Group, 2011
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Björn Hirsch, Webservice zur Auswertung und Analyse von WoW Combat Logs, Knowledge Engineering Group, TU Darmstadt, 2011
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2010

Hendrik Baier, Adaptive Playout Policies for Monte-Carlo Go, Institut für Kognitionswissenschaft, Universität Osnabrück, 2010
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Anne-Christine Karpf, Bidirectional Rule Learning, Knowledge Engineering Group, TU Darmstadt, 2010
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Steffen Lortz, Clustering of Mailing List Discussions, Knowledge Engineering Group, TU Darmstadt, 2010
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Jiawei Du, Iterative Optimization of Rule Sets, TU Darmstadt, Knowledge Engineering Group, 2010
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Jörg Schaede, Learning Stretched Rules, TU Darmstadt, Knowledge Engineering Group, 2010
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Torsten Ehrhardt, Lernen Abalone zu spielen, Knowledge Engineering Group, TU Darmstadt, 2010
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Stefan Heinje, Neuronale Netze in Go, TU Darmstadt, Knowledge Engineering Group, 2010
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Jun Li, Selbst lernendes qualitätssensitives Testmanagement, TU Darmstadt, Knowledge Engineering Group, 2010

2009

Christian Reuter, Implementierung und Testen eines relationalen Lern-Algorithmus, TU Darmstadt, Knowledge Engineering Group, 2009
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Aleksandrs Galickis, Informationsextraktion aus Lebensläufen, TU Darmstadt, Knowledge Engineering Group, 2009
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Matthias Beckerle, Interaktives Regellernen, TU Darmstadt, Knowledge Engineering Group, 2009
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Rene Abraham, On­to­log­i­cal De­scrip­tion of UI In­ter­ac­tions, TU Darmstadt, Knowledge Engineering Group, 2009
Marco Ghiglieri, Thunderbird-Plugin zur Attachment-Prüfung, TU Darmstadt, Knowledge Engineering Group, 2009
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Marian Wieczorek, UCT Simulation in Go, TU Darmstadt, Knowledge Engineering Group, 2009
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Lars Wohlrab, Vergleich verschiedener Methoden zur Behandlung fehlender Attributwerte im SeCo-Regellerner, Independent Study Project, Knowledge Engineering Group, TU Darmstadt, 2009
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2008

Manuel Ladebeck, Applying Dynamic Scripting to "Jagged Alliance 2", TU Darmstadt, Knowledge Engineering Group, 2008
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Thomas Wanderer, Aufbau einer on-line Datenbank für Machine Learning Datenbanken, TU Darmstadt, Knowledge Engineering Group, 2008
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Konstantin Sack, Datenkonsolidierung in der polizeilichen Kriminalstatistik, TU Darmstadt, Knowledge Engineering Group, 2008
Lu Zheng, Konstruktion eines Web-Portals für Gehörlose, TU Darmstadt, Knowledge Engineering Group, 2008
Stephan Mehlhase, Kontextvorhersage in einem adaptiven, kontext-sensitiven System, TU Darmstadt, Knowledge Engineering Group, 2008
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Sacha Droste, Lernen von Evaluierungsfunktionen für Schach-Varianten, TU Darmstadt, Knowledge Engineering Group, 2008
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Jan Frederik Sima, Paarweise Hierarchische Klassifikation, TU Darmstadt, Knowledge Engineering Group, 2008
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Jens Pfau, Plans as a Means for Guiding a Reinforcement Learner, TU Darmstadt, Knowledge Engineering Group, 2008
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Heiko Paulheim, Skalierbarkeit von Ontology-Matching-Verfahren, TU Darmstadt, Knowledge Engineering Group, 2008
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Sven Wagner, Supervised Local Pattern Discovery, TU Darmstadt, Knowledge Engineering Group, 2008
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Benedict Werling, Vergleich von Pruning-Algorithmen für Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2008
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Bernhard Rapp, Verteilte Adaptionsplanung, TU Darmstadt, Knowledge Engineering Group, 2008

2007

Timo Bozsolik and Lars Meyer, CATS - Ein System zur Stundenplanerstellung, TU Darmstadt, Knowledge Engineering Group, 2007
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Dimitar Nikolov, Knowledge Network Visualization, TU Darmstadt, Knowledge Engineering Group, 2007
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Ge Hyun Nam, Ordered Pairwise Classification, TU Darmstadt, Knowledge Engineering Group, 2007
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Nikolay Jetchev, Similarity Measures for Smooth Web Page Classification, TU Darmstadt, Knowledge Engineering Group, 2007
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Stefan Seiermann, Vergleich von Methoden zur Hypertext-Klassifizierung, TU Darmstadt, Knowledge Engineering Group, 2007
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Michael Stegbauer, Zitationsanalyse für das Gebiet "Lernen in Spielen", TU Darmstadt, Knowledge Engineering Group, 2007
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2006

Jun Ying, Analysis and Comparison of Existent Information Extraction Methods, TU Darmstadt, Knowledge Engineering Group, 2006
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Hendrik Baier, Der Alpha-Beta-Algorithmus und Erweiterungen bei Vier Gewinnt, TU Darmstadt, Knowledge Engineering Group, 2006
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Sang-Hyeun Park, Effiziente Klassifikation und Ranking mit paarweisen Vergleichen, TU Darmstadt, Knowledge Engineering Group, 2006
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Bjoern Koester, FooCA: Mining Web Search Results Using Formal Concept Analysis, TU Darmstadt, Knowledge Engineering Group, 2006
[URL]
Gabriel Breda, KRK Chess Endgame Database Knowledge Extraction and Compression, TU Darmstadt, Knowledge Engineering Group, 2006
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Arne Beckhaus, Machine Learning on Desktop Environment Events, TU Darmstadt, Knowledge Engineering Group, 2006
Sven Burges, Meta-Lernen einer Evaluierungs-Funktion für einen Regel-Lerner, TU Darmstadt, Knowledge Engineering Group, 2006
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Matthias Degen, Stalker: Lerntheoretische Modellierung und Untersuchungen, TU Darmstadt, Knowledge Engineering Group, 2006
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Marc Ruppert, Vergleich von AQ, CN2 und CN2 mit Weighted Covering, TU Darmstadt, Knowledge Engineering Group, 2006
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2005

Michael Wolf, An Intelligent Artificial Player for the Game of Risk, TU Darmstadt, Knowledge Engineering Group, 2005
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Hervé Utard, Hypertext Classification, TU Darmstadt, Knowledge Engineering Group, 2005
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Simone Daum, Regelbasiertes Tiling für Collaborative Filtering, TU Darmstadt, Knowledge Engineering Group, 2005
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Oliver Werth, Verbesserung der Datenqualität durch Pre-Processing, TU Darmstadt, Knowledge Engineering Group, 2005

2004

Matthias Degen, Fixed-left-Right-Wrapper: Merkmale und Lernbarkeit, Knowledge Engineering Group, TU Darmstadt, 2004
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1991




2013


2012


2010

Heiko Paulheim, Integration of User Interface Components based on Ontologies and Rules, Reasoning Web Summer School - Supplementary Handouts, 2010
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2008


2001

Johannes Fürnkranz, Inductive Rule Learning for Data and Web Mining, Habilitationsschrift, Technisch-Naturwissenschaftliche Fakult{\"a}t, Technische Universi{\"a}t Wien, 2001

1997


1995--2000

Johannes Fürnkranz, Bibliography on Machine Learning in Strategic Game Playing, \url{http://www.ke.informatik.tu-darmstadt.de/~juffi/lig/}, 1995--2000

1994


1993

Johannes Fürnkranz, Application of Machine Learning Methods to the KOSIMO Database, Paper presented at the International Workshop on the Potential Contribution of Artificial Intelligence to the Avoidance of Crises and Wars, Vienna, 1993

1990




2012

Eneldo Loza Mencía, Efficient Pairwise Multilabel Classification, Technische Universität Darmstadt, Knowledge Engineering Group, 2012
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[URL]
Frederik Janssen, Heuristic Rule Learning, TU Darmstadt, Knowledge Engineering Group, 2012
[URL]

1994




2017


2013


2012


2010


2009


2008


2006

Machine Learning: ECML 2006, Springer-Verlag, 2006
[URL]

2005

LWA 2005, Lernen Wissensentdeckung Adaptivität, German Research Center for Artificial Intelligence (DFKI), 2005
[URL]

2004


2003

Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, Austrian Research Institute for Artificial Intelligence, 2003
[URL]

1999


1996




2017


2016

Tobias Joppen, Miriam Moneke, Nils Schröder, Christian Wirth and Johannes Fürnkranz, Informed Hybrid Game Tree Search, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2016–01, 2016
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2015

Andrei Tolstikov, Frederik Janssen and Johannes Fürnkranz, Evaluation of different Regression Learners under Asymmetric Loss for Predictive Maintenance, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2015–02, 2015
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2014

Timo Nolle, Immanuel Schweizer and Frederik Janssen, Data-driven Detection of Congestion-affected Roads, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2014–02, 2014
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Christian Brinker, Eneldo Loza Mencía and Johannes Fürnkranz, Graded Multilabel Classification by Pairwise Comparisons, Knowledge Engineering Group, Technische Universität Darmstadt, Technical Report, 2014
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2012

Lorenz Weizsäcker and Johannes Fürnkranz, Basic Instrument for Experimental Probes in Machine Learning, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2012–01, 2012
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Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz and Arno J. Knobbe, Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2012-02, 2012
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2011

Lorenz Weizsäcker and Johannes Fürnkranz, Margin Driven Separate and Conquer by Assymmetric Loss Functions, TU Darmstadt, Knowledge Engineering Group, number TUD–KE–2011–01, 2011
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Heiko Paulheim and Johannes Fürnkranz, Unsupervised Generation of Data Mining Features from Linked Open Data, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2011-2, 2011
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2010

Lorenz Weizsäcker, Persistent Name Spaces for Uniform Experiments, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-04, 2010
[URL]
Jan-Nikolas Sulzmann and Johannes Fürnkranz, Probability Estimation and Aggregation for Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-03, 2010
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Frederik Janssen and Johannes Fürnkranz, Separate-and-conquer Regression, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-01, 2010
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Frederik Janssen and Johannes Fürnkranz, The SeCo-framework for rule learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-02, 2010
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2009

Lars Wohlrab and Johannes Fürnkranz, A Comparison of Strategies for Handling Missing Values in Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-03, 2009
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Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-02, 2009
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Marco Ghiglieri and Johannes Fürnkranz, Learning To Recognize Missing E-mail Attachments, Knowledge Engineering Group, TU Darmstadt, number TUD-KE-2009-05, 2009
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Lorenz Weizsäcker and Johannes Fürnkranz, Margin Driven Separate and Conquer by Working Set Expansion, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-06, 2009
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2008

Frederik Janssen and Johannes Fürnkranz, A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-02, 2008
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Eneldo Loza Mencía, Sang-Hyeun Park and Johannes Fürnkranz, Advances in Efficient Pairwise Multilabel Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-06, 2008
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Frederik Janssen and Johannes Fürnkranz, An Empirical Quest for Optimal Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-01, 2008
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Sacha Droste and Johannes Fürnkranz, Learning of Piece Values for Chess Variants, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-07, 2008
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Sang-Hyeun Park and Johannes Fürnkranz, Multi-Label Classification with Label Constraints, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-04, 2008
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Lorenz Weizsäcker and Johannes Fürnkranz, On Table Extraction from Text Sources with Markups, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-05, 2008
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2007

Sang-Hyeun Park and Johannes Fürnkranz, Efficient Pairwise Classification and Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-03, 2007
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Klaus Brinker, Johannes Fürnkranz and Eyke Hüllermeier, Label Ranking by Learning Pairwise Preferences, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-01, 2007
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Frederik Janssen and Johannes Fürnkranz, Meta-Learning Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-02, 2007
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Eyke Hüllermeier and Johannes Fürnkranz, On Minimizing the Position Error in Label Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-04, 2007
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Eneldo Loza Mencía and Johannes Fürnkranz, Pairwise Learning of Multilabel Classifications with Perceptrons, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-05, 2007
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2003

Johannes Fürnkranz and Peter A. Flach, An Analysis of Rule Learning Heuristics, Department of Computer Science, University of Bristol, number CSTR-03-002, 2003
[URL]
Johannes Fürnkranz, Modeling Rule Precision, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-35, 2003
[URL]
Johannes Fürnkranz and Eyke Hüllermeier, Pairwise Preference Learning and Ranking, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-14, 2003
[URL]

2002

Johannes Fürnkranz, A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-28, 2002
[URL]
Johannes Fürnkranz, Johann Petrak, Pavel B. Brazdil and Carlos Soares, On the Use of Fast Subsampling Estimates for Algorithm Recommendation, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-36, 2002
[URL]
Johannes Fürnkranz, Pairwise Classification as an Ensemble Technique, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-20, 2002
[URL]
Johannes Fürnkranz, Round Robin Ensembles, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-37, 2002
[URL]
Johannes Fürnkranz, Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-33, 2002
[URL]

2001

Johannes Fürnkranz and Johann Petrak, An Evaluation of Landmarking Variants, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-13, 2001
[URL]
Hendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz and Francesco C. Billari, Detecting Temporal Change in Event Sequences: An Application to Demographic Data, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-09, 2001
[URL]
Alexander K. Seewald and Johannes Fürnkranz, Grading Classifiers, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-01, 2001
[URL]
Johannes Fürnkranz, Hyperlink Ensembles: A Case Study in Hypertext Classification, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-30, 2001
[URL]
Johannes Fürnkranz, Round Robin Classification, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-18, 2001
[URL]
Johannes Fürnkranz, Round Robin Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-02, 2001
[URL]
Johannes Fürnkranz, Christian Holzbaur and Robert Temel, User Profiling for the Melvil Knowledge Retrieval System, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-29, 2001
[URL]

2000

Johannes Fürnkranz, Machine Learning in Games: A Survey, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2000-31, 2000
[URL]
Francesco C. Billari, Johannes Fürnkranz and Alexia Prskawetz, Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach, Max Planck Institute for Demographic Research, number WP 2000-010, MPIDR Working Paper, 2000
[URL]
Francesco C. Billari, Johannes Fürnkranz and Alexia Prskawetz, Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2000-30, 2000
[URL]

1998

Johannes Fürnkranz, A Study Using $n$-gram Features for Text Categorization, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-98-30, 1998
[URL]
Johannes Fürnkranz, Using Links for Classifying Web-Pages, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-98-29, 1998
[URL]

1997

Johannes Fürnkranz, Dimensionality Reduction in ILP: A Call to Arms, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-26, 1997
[URL]
Johannes Fürnkranz, Knowledge Discovery in Chess Databases: A Research Proposal, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-33, 1997
[URL]
Johannes Fürnkranz, More Efficient Windowing, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-01, 1997
[URL]
Johannes Fürnkranz, Noise-Tolerant Windowing, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-07, 1997
[URL]
Franz-Günter Winkler and Johannes Fürnkranz, On Effort in AI Research: A Description Along Two Dimensions, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-25, 1997
[URL]

1996

Johannes Fürnkranz, Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-10, 1996
[URL]
Johannes Fürnkranz, Johann Petrak and Robert Trappl, Knowledge Discovery in International Conflict Databases, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-24, 1996
Johannes Fürnkranz, Machine Learning in Computer Chess: The Next Generation, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-11, 1996
[URL]
Johannes Fürnkranz, Pruning Algorithms for Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-07, 1996
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Johannes Fürnkranz, Separate-and-Conquer Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-25, 1996
[URL]

1995

Johannes Fürnkranz, A Tight Integration of Pruning and Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-95-03, 1995
[URL]

1994

Johannes Fürnkranz, A Comparison of Pruning Methods for Relational Concept Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-16, 1994
[URL]
Johannes Fürnkranz and Gerhard Widmer, Incremental Reduced Error Pruning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-09, 1994
[URL]
Johannes Fürnkranz, Pruning Methods for Rule Learning Algorithms, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-26, 1994
[URL]
Johannes Fürnkranz, Top-Down Pruning in Relational Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-03, 1994
[URL]

1993

Johannes Fürnkranz, Avoiding Noise Fitting in a {\sc Foil}-like Learning Algorithm, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-16, 1993
[URL]
Johannes Fürnkranz, The Role of Qualitative Knowledge in Machine Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-09, 1993
[URL]
Johannes Fürnkranz, {\sc Fossil}: {A} robust relational learner, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-28, 1993
[URL]