TU Darmstadt

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Items in division

TU Darmstadt (101510)
- 20 Department of Computer Science (15736)
  - Knowledge Engineering (591)

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Number of items at this level (without sub-levels): 558.

A

Arenz, Oleg (2022):
Monte Carlo Chess. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt, DOI: 10.26083/tuprints-00022930,
[Bachelor Thesis]

Appadurai, Daniel (2011):
Entwurf eines serviceorientierten Recommender-Systems im BMW Group Kontext.
TU Darmstadt, [Master Thesis]

Awerbuch, Wladimir (2009):
Anwendung von Data Mining zu statistischen Auswertungen und Vorhersagen im Sport.
TU Darmstadt, [Master Thesis]

Abraham, Rene (2009):
Ontological Description of UI Interactions.
TU Darmstadt, [Master Thesis]

Arnold, Thomas (2007):
Ein evolutionärer Algorithmus zur Erstellung eines künstlichen Gegenspielers für "Chinesische Mauer".
TU Darmstadt, [Master Thesis]

Anton, Tobias
Bauer, Mathias ; Brandherm, Boris ; Fürnkranz, Johannes ; Grieser, Gunter ; Hotho, Andreas ; Jedlitschka, Andreas ; Kröner, Alexander (eds.) (2005):
XPath-Wrapper Induction by generating tree traversal patterns.
In: Lernen, Wissensentdeckung und Adaptivität (LWA-05), pp. 126-133,
[Conference or Workshop Item]

B

Brinker, Christian ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2014):
Graded Multilabel Classification by Pairwise Comparisons.
pp. 731-736, Shenzhen, China, Curran Associates, IEEE, 2014 IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China, ISSN 1550-4786, ISBN 978-1-4799-4303-6,
[Conference or Workshop Item]

Brinker, Christian ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2014):
Graded Multilabel Classiﬁcation by Pairwise Comparisons.
[Report]

Bank, Max (2011):
Eine Grafische Benutzeroberfläche für ein Poker-Spiel.
TU Darmstadt, [Master Thesis]

Büscher, Niklas (2011):
On Solving Pentago.
TU Darmstadt, [Master Thesis]

Baier, Hendrik (2010):
Adaptive Playout Policies for Monte-Carlo Go.
TU Darmstadt, [Master Thesis]

Bozsolik, Timo (2009):
Entwicklung und Implementierung eines Prognosemodells zur automatisierten Geldwäscheerkennung.
TU Darmstadt, [Master Thesis]

Beckerle, Matthias (2009):
Interaktives Regellernen.
TU Darmstadt, [Master Thesis]

Bozsolik, Timo ; Meyer, Lars (2007):
CATS - Ein System zur Stundenplanerstellung.
TU Darmstadt, [Master Thesis]

Babitski, Grigori (2007):
Inferenzalgorithmen zur Auswahl ontologiebasierter Situationsbeschreibungen für ein kontextadapatives Dialogsystem.
TU Darmstadt, [Master Thesis]

Brinker, Klaus ; Fürnkranz, Johannes ; Hüllermeier, Eyke (2007):
Label Ranking by Learning Pairwise Preferences.
[Report]

Brinker, Klaus ; Fürnkranz, Johannes ; Hüllermeier, Eyke (2006):
A Unified Model for Multilabel Classification and Ranking.
In: ECAI 2006 <Riva del Garda,2006> ; 489-493 ; ISBN: 1-58603-642-4, pp. 489-493, [Conference or Workshop Item]

Billari, Francesco C. ; Fürnkranz, Johannes ; Prskawetz, Alexia (2006):
Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach.
In: European Journal of Population, 22 (1), pp. 37-65. [Article]

Bowling, Michael ; Fürnkranz, Johannes ; Graepel, Thore ; Musick, Ron (2006):
Special Issue on Machine Learning and Games.
In: Machine Learning, 63 (3), [Article]

Bowling, Michael ; Fürnkranz, Johannes ; Graepel, Thore ; Musick, Ron (2006):
Guest Editorial: Machine Learning and Games.
In: Machine Learning, 63 (3), pp. 211-215. [Article]

Brinker, Klaus ; Fürnkranz, Johannes ; Hüllermeier, Eyke
Brewka, G. ; Coradeschi, S. ; Perini, A. ; Traverso, P. (eds.) (2006):
A Unified Model for Multilabel Classification and Ranking.
In: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI-06), pp. 489-493,
[Conference or Workshop Item]

Baier, Hendrik (2006):
Der Alpha-Beta-Algorithmus und Erweiterungen bei Vier Gewinnt.
TU Darmstadt, [Master Thesis]

Beckhaus, Arne (2006):
Machine Learning on Desktop Environment Events.
TU Darmstadt, [Master Thesis]

Breda, Gabriel (2006):
KRK Chess Endgame Database Knowledge Extraction and Compression.
TU Darmstadt, [Master Thesis]

Burges, Sven (2006):
Meta-Lernen einer Evaluierungs-Funktion für einen Regel-Lerner.
TU Darmstadt, [Master Thesis]

Billari, Francesco ; Fürnkranz, Johannes ; Prskawetz, Alexia (2006):
Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach.
In: European Journal of Population, 22 (1), pp. 37--65. [Article]

Brodmann, Kai (2005):
Evaluierung des Mozilla Spamfilters.
TU Darmstadt, [Master Thesis]

Billari, Francesco C. ; Prskawetz, Alexia ; Fürnkranz, Johannes
Billari, F. C. ; Prskawetz, Alexia (eds.) (2003):
On the Cultural Evoluation of Age-at-marriage Norms.
In: Agent-Based Computational Demography, pp. 139-157, Physica-Verlag / Springer, [Book Section]

Blockeel, Hendrik ; Fürnkranz, Johannes ; Prskawetz, Alexia ; Billari, Francesco C. (2001):
Detecting Temporal Change in Event Sequences: An Application to Demographic Data.
[Report]

Blockeel, Hendrik ; Fürnkranz, Johannes ; Prskawetz, Alexia ; Billari, Francesco C.
De Raedt, Luc ; Siebes, Arno (eds.) (2001):
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), pp. 29-41,
Springer-Verlag, [Conference or Workshop Item]

Blockeel, Hendrik ; Fürnkranz, Johannes ; Prskawetz, Alexia ; Billari, Francesco
De Raedt, L. ; Siebes, A. (eds.) (2001):
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), pp. 29--41,
Springer-Verlag, [Conference or Workshop Item]

Billari, Francesco C. ; Fürnkranz, Johannes ; Prskawetz, Alexia (2000):
Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach.
[Report]

C

Czech, Johannes ; Willig, Moritz ; Beyer, Alena ; Kersting, Kristian ; Fürnkranz, Johannes (2020):
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data.
In: Frontiers in Artificial Intelligence, 3, Frontiers, ISSN 2624-8212,
DOI: 10.25534/tuprints-00013370,
[Article]

Cheng, Weiwei ; Fürnkranz, Johannes ; Hüllermeier, Eyke ; Park, Sang-Hyeun (2011):
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 312-327,
Springer-Verlag, [Conference or Workshop Item]

Ciordas-Fanghäuser, George-Petru (2010):
Entwicklung eines Assistenzsystems zur Berechnung der Ähnlichkeit von Konfigurationsdateien.
TU Darmstadt, [Master Thesis]

Camacho, José Manuel Molina (2007):
Eine E-Learning Experimentierumgebung für den Lernalgorithmus Foil.
TU Darmstadt, [Master Thesis]

Crémilleux, Bruno ; Fürnkranz, Johannes ; Knobbe, Arno J. ; Scholz, Martin (2007):
From Local Patterns to Global Models: The LeGo Approach to Data Mining.
[Report]

D

Dang, Hien (2021):
Adaptive Personalization in Driver Assistance Systems. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00017507,
[Ph.D. Thesis]

Diallo, Aissatou ; Zopf, Markus ; Fürnkranz, Johannes (2020):
Permutation Learning via Lehmer Codes.
In: Frontiers in Artificial Intelligence and Applications, 325, In: ECAI 2020: 24th European Conference on Artificial Intelligence: Proceedings, pp. 1095-1102,
IOS Press, 24th European Conference on Artificial Intelligence (ECAI 2020), virtual Conference, 29.08-08.09.2020, ISBN 978-1-64368-100-9,
DOI: 10.3233/FAIA200206,
[Conference or Workshop Item]

Diallo, Aïssatou ; Zopf, Markus ; Fürnkranz, Johannes (2019):
Learning Analogy-Preserving Sentence Embeddings for Answer Selection.
In: Proceedings of the 23rd Conference on Computational Natural Language Learning, pp. 910-919,
ACL, 23rd Conference on Computational Natural Language Learning (CoNLL 2019), Hong Kong, China, 03.-04.12.2019, ISBN 978-1-950737-72-7,
DOI: 10.18653/v1/K19-1085,
[Conference or Workshop Item]

Dang, Hien ; Fürnkranz, Johannes (2019):
Driver Information Embedding with Siamese LSTM networks.
In: 2019 IEEE Intelligent Vehicles Symposium (IV), pp. 935-940,
Paris, 9 June 2019, DOI: 10.1109/IVS.2019.8813795,
[Conference or Workshop Item]

Dang, Hien Quoc ; Fürnkranz, Johannes (2018):
Using Past Maneuver Executions for Personalization of a Driver Model.
USA, IEEE, 21th IEEE International Conference on Intelligent Transportation Systems (ITSC-18), Maui, Hawaii, USA, 4.-7. November 2018, [Conference or Workshop Item]

Dang, Hien Quoc ; Fürnkranz, Johannes
Gemulla, Rainer ; Ponzetto, Simone Paolo ; Bizer, Christian ; Keuper, Margret ; Stuckenschmidt, Heiner (eds.) (2018):
Exploiting Maneuver Dependency for Personalization of a Driver Model.
In: CEUR Workshop Proceedings, 2191, In: Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", pp. 93-97,
Mannheim, Germany, CEUR-WS.org, LWDA 2018 - Lernen, Wissen, Daten, Analysen 2018, Mannheim, Germany, August 22-24, 2018, [Conference or Workshop Item]

Dang, Hien Quoc ; Fürnkranz, Johannes ; Hoepfl, Maximilian ; Biedermann, Alexander (2017):
Time-to-Lane-Change Prediction with Deep Learning.
IEEE, Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems (ITSC-17), Yohohama, Japan, October 16-19, 2017, DOI: 10.1109/ITSC.2017.8317674,
[Conference or Workshop Item]

Duivesteijn, Wouter ; Loza Mencía, Eneldo ; Fürnkranz, Johannes ; Knobbe, Arno J.
Hollmén, Jaakko ; Klawonn, Frank ; Tucker, Allan (eds.) (2012):
Multi-label LeGo — Enhancing Multi-label Classifiers with Local Patterns.
In: Lecture Notes in Computer Science, 7619, pp. 114-125, Springer, Advances in Intelligent Data Analysis XI — Proceedings of the 11th International Symposium on Data Analysis (IDA-11), ISBN 978-3-642-34155-7,
[Conference or Workshop Item]

Dang, Thanh Tung ; Gabriel, Alexander ; Hertling, Sven ; Roskosch, Philipp ; Wlotzka, Marcel ; Zilke, Jan Ruben ; Janssen, Frederik ; Paulheim, Heiko (2012):
HotMatch results for OEAI 2012.
Seventh International Workshop on Ontology Matching (OM 2012), [Conference or Workshop Item]

Duivesteijn, Wouter ; Loza Mencía, Eneldo ; Fürnkranz, Johannes ; Knobbe, Arno J. (2012):
Multi-label LeGo — Enhancing Multi-label Classifiers with Local Patterns.
[Report]

Dorn, Johannes (2010):
Implementierung und Evaluierung eines Greedy Association Rule Learners.
TU Darmstadt, [Master Thesis]

Du, Jiawei (2010):
Iterative Optimization of Rule Sets.
TU Darmstadt, [Master Thesis]

Droste, Sacha ; Fürnkranz, Johannes (2008):
Learning of Piece Values for Chess Variants.
[Report]

Droste, Sacha (2008):
Lernen von Evaluierungsfunktionen für Schach-Varianten.
TU Darmstadt, [Master Thesis]

Droste, Sacha ; Fürnkranz, Johannes (2008):
Learning the Piece Values for Three Chess Variants.
In: International Computer Games Association Journal, 31 (4), pp. 209-233. [Article]

Druckman, Daniel ; Harris, Richard ; Fürnkranz, Johannes
Trappl, Robert (ed.) (2006):
Modeling International Negotiation: Statistical and Machine Learning Approaches.
2, In: Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention, pp. 227-250, Kluwer Academic Publishers, [Book Section]

Degen, Matthias (2006):
Stalker: Lerntheoretische Modellierung und Untersuchungen.
TU Darmstadt, [Master Thesis]

Druckman, Daniel ; Harris, Richard ; Fürnkranz, Johannes
Trappl, R. (ed.) (2006):
Modeling International Negotiation: Statistical and Machine Learning Applications.
In: Advances in Group Decision and Negotiation, 2, In: Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention, pp. 227--250, Kluwer Academic Publishers, [Book Section]

Daum, Simone (2005):
Regelbasiertes Tiling für Collaborative Filtering.
TU Darmstadt, [Master Thesis]

Degen, Matthias (2004):
Fixed-left-Right-Wrapper: Merkmale und Lernbarkeit.
TU Darmstadt, [Master Thesis]

E

Erdogan, Atila ; Paulheim, Heiko (2010):
Mächtig & Schick - Java-Applikationen mit Flex-UIs.
In: JavaSpektrum, (2), pp. 32-35. [Article]

Ehrhardt, Torsten (2010):
Lernen Abalone zu spielen.
TU Darmstadt, [Master Thesis]

F

Falke, Tobias ; Ribeiro, Leonardo F. R. ; Utama, Prasetya ; Dagan, Ido ; Gurevych, Iryna (2019):
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference.
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp. 2214-2220,
Florence, Italy, 28.07.2019--02.08.2019, [Conference or Workshop Item]

Friesen, John ; Rausch, L. ; Pelz, P. F. ; Fürnkranz, Johannes (2018):
Determining Factors for Slum Growth with Predictive Data Mining Methods.
In: Urban Science, 2 (3), p. 81. DOI: 10.3390/urbansci2030081,
[Article]

Fürnkranz, Johannes (2015):
Editorial.
In: Data Mining and Knowledge Discovery, 29 (1), pp. 1-2. [Article]

Fürnkranz, Johannes ; Kliegr, Tomás
Bassiliades, Nick ; Gottlob, Georg ; Sadri, Fariba ; Paschke, Adrian ; Roman, Dumitru (eds.) (2015):
A Brief Overview of Rule Learning.
In: Lecture Notes in Computer Science, 9202, pp. 54-69, Berlin, Germany, Springer, Rule Technologies: Foundations, Tools, and Applications - 9th International Symposium, RuleML 2015, Berlin, Germany, August 2-5, 2015, Proceedings, Berlin, Germany, [Conference or Workshop Item]

Fürnkranz, Johannes ; Hüllermeier, Eyke ; Rudin, Cynthia ; Słowiński, Roman ; Sanner, Scott
Preference Learning (Dagstuhl Seminar 14101).
In: Dagstuhl Reports, 4 (3), pp. 1-27. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, ISSN 2192-5283,
[Article]

Fürnkranz, Johannes
Dubitzky, Werner ; Wolkenhauer, Olaf ; Cho, Kwang-Hyun ; Yokota, Hiroki (eds.) (2013):
Rule-Based Methods.
In: Encyclopedia of Systems Biology, Springer-Verlag, [Book Section]

Fürnkranz, Johannes ; Hüllermeier, Eyke
Seel, Norbert M. (ed.) (2012):
Preference Learning.
In: Encyclopedia of the Sciences of Learning, p. 986, Springer-Verlag, [Book Section]

Fürnkranz, Johannes ; Hüllermeier, Eyke ; Cheng, Weiwei ; Park, Sang-Hyeun (2012):
Preference-based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm.
In: Machine Learning, 89 (1-2), pp. 123-156. ISSN 0885-6125,
[Article]

Fürnkranz, Johannes ; Park, Sang-Hyeun
Ganascia, Jean-Gabriel ; Lenca, Philippe ; Petit, Jean-Marc (eds.) (2012):
Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction.
pp. 254-267, Lyon, France, Springer, Proceedings of the 15th International Conference on Discovery Science (DS-12), Lyon, France, [Conference or Workshop Item]

Fürnkranz, Johannes ; Gamberger, Dragan ; Lavrac, Nada (2011):
Foundations of Rule Learning.
Heidelberg, Springer-Verlag, ISBN 978-3-540-75196-0,
[Book]

Fürnkranz, Johannes ; Knobbe, Arno J. (2010):
Guest Editorial: Global Modeling using Local Patterns.
In: Data Mining and Knowledge Discovery, 21, pp. 1-8. [Article]

Fürnkranz, Johannes ; Sima, Jan Frederik (2010):
On Exploiting Hierarchical Label Structure with Pairwise Classifiers.
In: SIGKDD Explorations, 12 (2), pp. 21-25. [Article]

Fürnkranz, Johannes
Maimon, Oded ; Rokach, Lior (eds.) (2010):
Web Mining.
In: Data Mining and Knowledge Discovery Handbook, pp. 913-930, Springer-Verlag, [Book Section]

Fürnkranz, Johannes
Sammut, Claude ; Webb, Geoffrey I. (eds.) (2010):
Decision List.
In: Encyclopedia of Machine Learning, p. 261, Springer-Verlag, [Book Section]

Fürnkranz, Johannes
Sammut, Claude ; Webb, Geoffrey I. (eds.) (2010):
Decision Lists and Decision Trees.
In: Encyclopedia of Machine Learning, pp. 261-262, Springer-Verlag, [Book Section]

Fürnkranz, Johannes
Sammut, Claude ; Webb, Geoffrey I. (eds.) (2010):
Decision Tree.
In: Encyclopedia of Machine Learning, pp. 263-267, Springer-Verlag, [Book Section]

Fürnkranz, Johannes
Sammut, Claude ; Webb, Geoffrey I. (eds.) (2010):
Machine Learning and Game Playing.
In: Encyclopedia of Machine Learning, pp. 633-637, Springer-Verlag, [Book Section]

Fürnkranz, Johannes ; Hüllermeier, Eyke
Sammut, Claude ; Webb, Geoffrey I. (eds.) (2010):
Preference Learning.
In: Encyclopedia of Machine Learning, pp. 789-795, Springer-Verlag, [Book Section]

Fürnkranz, Johannes
Sammut, Claude ; Webb, Geoffrey I. (eds.) (2010):
Pruning.
In: Encyclopedia of Machine Learning, p. 817, Springer-Verlag, [Book Section]

Fürnkranz, Johannes
Sammut, Claude ; Webb, Geoffrey I. (eds.) (2010):
Rule Learning.
In: Encyclopedia of Machine Learning, pp. 875-879, Springer-Verlag, [Book Section]

Fürnkranz, Johannes ; Hüllermeier, Eyke
Fürnkranz, Johannes ; Hüllermeier, Eyke (eds.) (2010):
Preference Learning and Ranking by Pairwise Comparison.
In: Preference Learning, pp. 65-82, Springer-Verlag, [Book Section]

Fürnkranz, Johannes ; Hüllermeier, Eyke
Fürnkranz, Johannes ; Hüllermeier, Eyke (eds.) (2010):
Preference Learning: An Introduction.
In: Preference Learning, pp. 1-17, Springer-Verlag, [Book Section]

Fritz, Christian ; Kirschner, Christian ; Reker, Daniel ; Wisplinghoff, Andre ; Paulheim, Heiko ; Probst, Florian (2010):
Geospatial Web Mining for Emergency Management.
In: GIScience 2010 - Extended Abstracts,
[Conference or Workshop Item]

Fürnkranz, Johannes ; Hüllermeier, Eyke ; Vanderlooy, Stijn
Buntine, Wray L. ; Grobelnik, Marko ; Mladenić, Dunja ; Shawe-Taylor, John (eds.) (2009):
Binary Decomposition Methods for Multipartite Ranking.
Part I, In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-09), pp. 359-374,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes ; Loza Mencía, Eneldo ; Paulheim, Heiko ; Bestougeff, Hélène ; Laukyte, Migle ; Rubino, Rossella ; Contissa, Giuseppe ; Kamara, Lloyd ; Mezaour, Amar-Djalil ; Ramirez, Daniel ; Riveret, Régis ; Rudnianski, Michel (2008):
Report on ALIS Ontology.
[Report]

Fürnkranz, Johannes ; Hüllermeier, Eyke ; Loza Mencía, Eneldo ; Brinker, Klaus (2008):
Multilabel Classification via Calibrated Label Ranking.
In: Machine Learning, 73 (2), pp. 133-153. [Article]

Fürnkranz, Johannes (2007):
Recent Advances in Machine Learning and Game Playing.
In: ÖGAI Journal, 26 (2), [Article]

Fürnkranz, Johannes ; Hüllermeier, Eyke (2005):
Preference Learning.
In: Künstliche Intelligenz, 19 (1), pp. 60-61. [Article]

Fürnkranz, Johannes ; Flach, Peter A. (2005):
ROC 'n' Rule Learning -- Towards a Better Understanding of Covering Algorithms.
In: Machine Learning, 58 (1), pp. 39-77. [Article]

Fürnkranz, Johannes
Maimon, Oded ; Rokach, Lior (eds.) (2005):
Web Mining.
In: Data Mining and Knowledge Discovery Handbook, pp. 899-920, Springer-Verlag, [Book Section]

Fürnkranz, Johannes
Morik, K. ; Boulicaut, Jean-Francois ; Siebes, Arno (eds.) (2005):
From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms.
In: Local Pattern Detection, pp. 20-38,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes
Morik, K. ; Boulicaut, J.-F. ; Siebes, A. (eds.) (2005):
From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms.
In: Local Pattern Detection, pp. 20--38,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes ; Flach, Peter (2005):
{ROC} 'n' Rule Learning -- {Towards} a Better Understanding of Covering Algorithms.
In: Machine Learning, 58 (1), pp. 39--77. [Article]

Fürnkranz, Johannes ; Flach, Peter A.
Boulicaut, Jean-Francois ; Esposito, F. ; Giannotti, F. ; Pedreschi, D. (eds.) (2004):
An Analysis of Stopping and Filtering Criteria for Rule Learning.
3201, In: Proceedings of the 15th European Conference on Machine Learning (ECML-04), pp. 123-133,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes
Fürnkranz, Johannes (ed.) (2004):
Modeling Rule Precision.
In: Proceedings of the ECML/PKDD-04 Workshop on Advances in Inductive Rule Learning, pp. 30-45,
[Conference or Workshop Item]

Fürnkranz, Johannes
Abecker, A. ; Bickel, S. ; Brefeld, U. ; Drost, I. ; Henze, N. ; Herden, O. ; Minor, M. ; Scheffer, Tobias ; Stojanovic, L. ; Weibelzahl, S. (eds.) (2004):
Modeling Rule Precision.
In: Lernen -- Wissensentdeckung --- Adaptivität. Proceedings of the LWA-04 Workshops, pp. 147-154,
[Conference or Workshop Item]

Fürnkranz, Johannes ; Flach, Peter
Boulicaut, J.-F. ; Esposito, F. ; Giannotti, F. ; Pedreschi, D. (eds.) (2004):
An Analysis of Stopping and Filtering Criteria for Rule Learning.
In: Lecture Notes in Artificial Intelligence, 3201, In: Proceedings of the 15th European Conference on Machine Learning (ECML-04), pp. 123--133,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes (2003):
Round Robin Ensembles.
In: Intelligent Data Analysis, 7 (5), pp. 385-404. [Article]

Fürnkranz, Johannes ; Hüllermeier, Eyke
Lavrac, Nada ; Gamberger, Dragan ; Blockeel, Hendrik ; Todorovski, L. (eds.) (2003):
Pairwise Preference Learning and Ranking.
2837, In: Proceedings of the 14th European Conference on Machine Learning (ECML-03), pp. 145-156,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes ; Flach, Peter A.
Fawcett, Tom E. ; Mishra, N. (eds.) (2003):
An Analysis of Rule Evaluation Metrics.
In: Proceedings of the 20th International Conference on Machine Learning (ICML-03), pp. 202-209,
AAAI Press, [Conference or Workshop Item]

Fürnkranz, Johannes ; Hüllermeier, Eyke
Hüllermeier, Eyke ; Fürnkranz, Johannes (eds.) (2003):
Pairwise Preference Learning and Ranking.
In: Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop,
[Conference or Workshop Item]

Fürnkranz, Johannes ; Flach, Peter A. (2003):
An Analysis of Rule Learning Heuristics.
[Report]

Fürnkranz, Johannes ; Hüllermeier, Eyke (2003):
Pairwise Preference Learning and Ranking.
[Report]

Fürnkranz, Johannes (2003):
Modeling Rule Precision.
[Report]

Fürnkranz, Johannes (2002):
Pairwise Classification as an Ensemble Technique.
[Report]

Fürnkranz, Johannes (2002):
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning.
[Report]

Fürnkranz, Johannes (2002):
Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web.
[Report]

Fürnkranz, Johannes ; Petrak, Johann ; Brazdil, Pavel B. ; Soares, Carlos (2002):
On the Use of Fast Subsampling Estimates for Algorithm Recommendation.
[Report]

Fürnkranz, Johannes (2002):
Round Robin Ensembles.
[Report]

Fürnkranz, Johannes
Cesa-Bianchi, N. ; Numao, M. ; Reischuk, R. (eds.) (2002):
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning.
2533, In: Proceedings of the 13th European Conference on Algorithmic Learning Theory (ALT-02), pp. 263-277,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes
Elomaa, T. ; Mannila, H. ; Toivonen, H. (eds.) (2002):
Pairwise Classification as an Ensemble Technique.
2430, In: Proceedings of the 13th European Conference on Machine Learning (ECML-02), pp. 97-110,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes ; Holzbaur, Christian ; Temel, Robert (2002):
User Profiling for the Melvil Knowledge Retrieval System.
In: Applied Artificial Intelligence, 16 (4), pp. 243-281. [Article]

Fürnkranz, Johannes (2002):
Hyperlink Ensembles: A Case Study in Hypertext Classification.
In: Information Fusion, 3 (4), pp. 299-312. [Article]

Fürnkranz, Johannes (2002):
Round Robin Classification.
In: Journal of Machine Learning Research, 2, pp. 721-747. [Article]

Fürnkranz, Johannes (2002):
Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web.
In: ÖGAI Journal, 21 (2), pp. 17-26. [Article]

Fürnkranz, Johannes
Cesa-Bianchi, N. ; Numao, M. ; Reischuk, R. (eds.) (2002):
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning.
In: Lecture Notes in Artificial Intelligence, 2533, In: Proceedings of the 13th European Conference on Algorithmic Learning Theory (ALT-02), pp. 263--277,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes (2002):
Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web.
In: ÖGAI Journal, 21 (2), pp. 17--26. [Article]

Fürnkranz, Johannes (2002):
Hyperlink Ensembles: A Case Study in Hypertext Classification.
In: Information Fusion, 3 (4), pp. 299--312. [Article]

Fürnkranz, Johannes ; Holzbaur, Christian ; Temel, Robert (2002):
User Profiling for the {Melvil} Knowledge Retrieval System.
In: Applied Artificial Intelligence, 16 (4), pp. 243--281. [Article]

Fürnkranz, Johannes (2002):
Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web.
In: ÖGAI Journal, 21 (2), pp. 17--26. [Article]

Fürnkranz, Johannes (2002):
Hyperlink Ensembles: A Case Study in Hypertext Classification.
In: Information Fusion, 3 (4), pp. 299--312. [Article]

Fürnkranz, Johannes (2001):
Round Robin Rule Learning.
[Report]

Fürnkranz, Johannes ; Petrak, Johann (2001):
An Evaluation of Landmarking Variants.
[Report]

Fürnkranz, Johannes (2001):
Round Robin Classification.
[Report]

Fürnkranz, Johannes ; Holzbaur, Christian ; Temel, Robert (2001):
User Profiling for the Melvil Knowledge Retrieval System.
[Report]

Fürnkranz, Johannes (2001):
Hyperlink Ensembles: A Case Study in Hypertext Classification.
[Report]

Fürnkranz, Johannes (2001):
Inductive Rule Learning for Data and Web Mining.
TU Darmstadt, [Habilitation]

Fürnkranz, Johannes
Brodley, C. E. ; Danyluk, A. P. (eds.) (2001):
Round Robin Rule Learning.
In: Proceedings of the 18th International Conference on Machine Learning (ICML 01), pp. 146-153,
Morgan Kaufmann Publishers, [Conference or Workshop Item]

Fürnkranz, Johannes
Brodley, C. E. ; Danyluk, A. P. (eds.) (2001):
Round Robin Rule Learning.
In: Proceedings of the 18th International Conference on Machine Learning (ICML-01), pp. 146-153,
Morgan Kaufmann Publishers, [Conference or Workshop Item]

Fürnkranz, Johannes ; Petrak, Johann
Giraud-Carrier, C. ; Lavrac, Nada ; Moyle, Steve ; Kavsek, B. (eds.) (2001):
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), pp. 57-68,
Freiburg, [Conference or Workshop Item]

Fürnkranz, Johannes
Fürnkranz, Johannes ; Kubat, M. (eds.) (2001):
Machine Learning in Games: A Survey.
In: Machines that Learn to Play Games, pp. 11-59, Nova Science Publishers, [Book Section]

Fürnkranz, Johannes (2000):
Machine Learning in Games: A Survey.
[Report]

Fürnkranz, Johannes ; Pfahringer, Bernhard ; Kaindl, Hermann ; Kramer, Stefan
Horn, W. (ed.) (2000):
Learning to Use Operational Advice.
In: Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-00), pp. 291-295,
IOS Press, [Conference or Workshop Item]

Fürnkranz, Johannes (1999):
Separate-and-Conquer Rule Learning.
In: Artificial Intelligence Review, 13 (1), pp. 3-54. [Article]

Fürnkranz, Johannes ; Kubat, Miroslav (1999):
Workshop Report: Machine Learning in Game Playing.
In: International Computer Chess Association Journal, 22 (3), pp. 178,179,165. [Article]

Fürnkranz, Johannes
Hand, David J. ; Kok, J. N. ; Berthold, Michael R. (eds.) (1999):
Exploiting Structural Information for Text Classification on the WWW.
In: Advances in Intelligent Data Analysis: Proceedings of the 3rd International Symposium (IDA-99), pp. 487-497,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes
Hand, D. J. ; Kok, J. N. ; Berthold, M. R. (eds.) (1999):
Exploiting Structural Information for Text Classification on the WWW.
In: Advances in Intelligent Data Analysis: Proceedings of the 3rd International Symposium (IDA-99), pp. 487--497,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes ; Pfahringer, Bernhard (1998):
Special Issue on First-Order Knowledge Discovery in Databases.
In: Applied Artificial Intelligence, 12 (5), [Article]

Fürnkranz, Johannes ; Pfahringer, Bernhard (1998):
Guest Editorial: First-Order Knowledge Discovery in Databases.
In: Applied Artificial Intelligence, 12 (5), pp. 345-361. [Article]

Fürnkranz, Johannes (1998):
Integrative Windowing.
In: Journal of Artificial Intelligence Research, 8, pp. 129-164. [Article]

Fürnkranz, Johannes ; Mitchell, Tom M. ; Riloff, Ellen
Sahami, M. (ed.) (1998):
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, pp. 5-12,
AAAI Press, [Conference or Workshop Item]

Fürnkranz, Johannes (1998):
Using Links for Classifying Web-Pages.
[Report]

Fürnkranz, Johannes (1998):
A Study Using $n$-gram Features for Text Categorization.
[Report]

Fürnkranz, Johannes ; Mitchell, Tom ; Riloff, Ellen
Sahami, M. (ed.) (1998):
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, pp. 5--12,
AAAI Press, [Conference or Workshop Item]

Fürnkranz, Johannes ; Pfahringer, Bernhard (1998):
Special Issue on First-Order Knowledge Discovery in Databases.
In: Applied Artificial Intelligence, 12 (5), [Article]

Fürnkranz, Johannes ; Pfahringer, Bernhard (1998):
Guest Editorial: First-Order Knowledge Discovery in Databases.
In: Applied Artificial Intelligence, 12 (5), pp. 345--361. [Article]

Fürnkranz, Johannes ; Pfahringer, Bernhard (1998):
Special Issue on First-Order Knowledge Discovery in Databases.
In: Applied Artificial Intelligence, 12 (5), [Article]

Fürnkranz, Johannes ; Petrak, Johann ; Trappl, Robert (1997):
Knowledge Discovery in International Conflict Databases.
In: Applied Artificial Intelligence, 11 (2), pp. 91-118. [Article]

Fürnkranz, Johannes (1997):
Pruning Algorithms for Rule Learning.
In: Machine Learning, 27 (2), pp. 139-171. [Article]

Fürnkranz, Johannes (1997):
Bericht über IJCAI-97 und AAAI-97.
In: ÖGAI--Journal, 16 (3), pp. 30-33. [Article]

Fürnkranz, Johannes (1997):
More Efficient Windowing.
In: Proceedings of the 14th National Conference on Artificial Intelligence (AAAI-97), pp. 509-514,
AAAI Press, [Conference or Workshop Item]

Fürnkranz, Johannes (1997):
Noise-Tolerant Windowing.
In: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 852-857,
Morgan Kaufmann, [Conference or Workshop Item]

Fürnkranz, Johannes
De Raedt, Luc ; Muggleton, S. (eds.) (1997):
Dimensionality Reduction in ILP: A Call to Arms.
In: Proceedings of the IJCAI-97 Workshop on Frontiers of Inductive Logic Programming, pp. 81-86,
[Conference or Workshop Item]

Fürnkranz, Johannes ; De Raedt, Luc (1997):
Learning Playing Strategies from Chess Endgame Databases: An ILP Approach.
[Other]

Fürnkranz, Johannes (1997):
More Efficient Windowing.
[Report]

Fürnkranz, Johannes (1997):
Noise-Tolerant Windowing.
[Report]

Fürnkranz, Johannes (1997):
Dimensionality Reduction in ILP: A Call to Arms.
[Report]

Fürnkranz, Johannes (1997):
Knowledge Discovery in Chess Databases: A Research Proposal.
[Report]

Fürnkranz, Johannes
De Raedt, L. ; Muggleton, S. (eds.) (1997):
Dimensionality Reduction in {ILP}: A Call to Arms.
In: Proceedings of the IJCAI-97 Workshop on Frontiers of Inductive Logic Programming, pp. 81--86,
[Conference or Workshop Item]

Fürnkranz, Johannes (1997):
Bericht über {IJCAI-97 und AAAI-97}.
In: ÖGAI--Journal, 16 (3), pp. 30--33. [Article]

Fürnkranz, Johannes ; Petrak, Johann ; Trappl, Robert (1997):
Knowledge Discovery in International Conflict Databases.
In: Applied Artificial Intelligence, 11 (2), pp. 91--118. [Article]

Fürnkranz, Johannes (1997):
Bericht über {IJCAI-97 und AAAI-97}.
In: ÖGAI--Journal, 16 (3), pp. 30--33. [Article]

Fürnkranz, Johannes ; Petrak, Johann ; Trappl, Robert (1997):
Knowledge Discovery in International Conflict Databases.
In: Applied Artificial Intelligence, 11 (2), pp. 91--118. [Article]

Fürnkranz, Johannes (1996):
Machine Learning in Computer Chess: The Next Generation.
In: International Computer Chess Association Journal, 19 (3), pp. 147-161. [Article]

Fürnkranz, Johannes (1996):
Pruning Algorithms for Rule Learning.
[Report]

Fürnkranz, Johannes (1996):
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases.
[Report]

Fürnkranz, Johannes (1996):
Machine Learning in Computer Chess: The Next Generation.
[Report]

Fürnkranz, Johannes ; Petrak, Johann ; Trappl, Robert (1996):
Knowledge Discovery in International Conflict Databases.
[Report]

Fürnkranz, Johannes (1996):
Separate-and-Conquer Rule Learning.
[Report]

Fürnkranz, Johannes (1996):
Machine Learning in Computer Chess: The Next Generation.
In: International Computer Chess Association Journal, 19 (3), pp. 147--161. [Article]

Fürnkranz, Johannes (1995):
Efficient Pruning Methods for Relational Learning (Extended Thesis Abstract).
In: AI Communications, 8 (2), pp. 105-106. [Article]

Fürnkranz, Johannes (1995):
A Brief Introduction to Knowledge Discovery in Databases.
In: ÖGAI--Journal, 14 (4), pp. 14-17. [Article]

Fürnkranz, Johannes
Lavrac, Nada ; Wrobel, Stefan (eds.) (1995):
A Tight Integration of Pruning and Learning (Extended Abstract).
912, In: Proceedings of the 8th European Conference on Machine Learning (ECML-95), pp. 291-294,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes (1995):
A Tight Integration of Pruning and Learning.
[Report]

Fürnkranz, Johannes (1995):
A Brief Introduction to Knowledge Discovery in Databases.
In: ÖGAI--Journal, 14 (4), pp. 14--17. [Article]

Fürnkranz, Johannes (1994):
Inductive Logic Programming (A Short Introduction and a Thesis Abstract).
In: ÖGAI--Journal, 13 (3--4), pp. 3-8. [Article]

Fürnkranz, Johannes (1994):
Bericht über The 11th International Conference on Machine Learning (ML-94).
In: ÖGAI--Journal, 13 (2), pp. 3-4. [Article]

Fürnkranz, Johannes
Fayyad, Usama M. ; Uthurusamy, R. (eds.) (1994):
A Comparison of Pruning Methods for Relational Concept Learning.
In: Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop (KDD-94), pp. 371-382,
AAAI Press, [Conference or Workshop Item]

Fürnkranz, Johannes
Cohn, A. G. (ed.) (1994):
Top-Down Pruning in Relational Learning.
In: Proceedings of the 11th European Conference on Artificial Intelligence (ECAI-94), pp. 453-457,
John Wiley, [Conference or Workshop Item]

Fürnkranz, Johannes
Bergadano, F. ; De Raedt, Luc (eds.) (1994):
sc Fossil: A Robust Relational Learner.
784, In: Proceedings of the 7th European Conference on Machine Learning (ECML-94), pp. 122-137,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes
Wrobel, Stefan (ed.) (1994):
Pruning Methods for Rule Learning Algorithms.
In: Proceedings of the 4th International Workshop on Inductive Logic Programming (ILP-94), pp. 321-336,
[Conference or Workshop Item]

Fürnkranz, Johannes ; Widmer, Gerhard
Cohen, William W. ; Hirsh, H. (eds.) (1994):
Incremental Reduced Error Pruning.
In: Proceedings of the 11th International Conference on Machine Learning (ML-94), pp. 70-77,
Morgan Kaufmann, [Conference or Workshop Item]

Fürnkranz, Johannes ; Petrak, Johann ; Trappl, Robert (1994):
The Potential Contribution of AI to the Avoidance of Crises and Wars: International Conflict Databases and Machine Learning.
[Other]

Fürnkranz, Johannes (1994):
Efficient Pruning Methods for Relational Learning.
TU Darmstadt,
[Ph.D. Thesis]

Fürnkranz, Johannes (1994):
Top-Down Pruning in Relational Learning.
[Report]

Fürnkranz, Johannes ; Widmer, Gerhard (1994):
Incremental Reduced Error Pruning.
[Report]

Fürnkranz, Johannes (1994):
A Comparison of Pruning Methods for Relational Concept Learning.
[Report]

Fürnkranz, Johannes (1994):
Pruning Methods for Rule Learning Algorithms.
[Report]

Fürnkranz, Johannes ; Petrak, Johann ; Trappl, Robert ; Bercovitch, Jacob (1994):
Machine Learning Methods for International Conflict Databases: A Case Study in Predicting Mediation Outcome.
[Report]

Fürnkranz, Johannes
Fayyad, U. ; Uthurusamy, R. (eds.) (1994):
A Comparison of Pruning Methods for Relational Concept Learning.
In: Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop (KDD-94), pp. 371--382,
AAAI Press, [Conference or Workshop Item]

Fürnkranz, Johannes
Bergadano, F. ; De Raedt, L. (eds.) (1994):
{sc Fossil}: A Robust Relational Learner.
In: Lecture Notes in Artificial Intelligence, 784, In: Proceedings of the 7th European Conference on Machine Learning (ECML-94), pp. 122--137,
Springer-Verlag, [Conference or Workshop Item]

Fürnkranz, Johannes (1994):
Bericht über {The 11th International Conference on Machine Learning (ML-94)}.
In: ÖGAI--Journal, 13 (2), pp. 3--4. [Article]

Fürnkranz, Johannes (1994):
Inductive Logic Programming (A Short Introduction and a Thesis Abstract).
In: ÖGAI--Journal, 13 (3--4), pp. 3--8. [Article]

Fürnkranz, Johannes (1994):
Bericht über {The 11th International Conference on Machine Learning (ML-94)}.
In: ÖGAI--Journal, 13 (2), pp. 3--4. [Article]

Fürnkranz, Johannes (1993):
Bericht über The 13th International Conference on Artificial Intelligence (IJCAI-93).
In: ÖGAI--Journal, 12 (1--2), pp. 10-12. [Article]

Fürnkranz, Johannes (1993):
Avoiding Noise Fitting in a sc Foil-like Learning Algorithm.
In: Proceedings of the IJCAI-93 Workshop on Inductive Logic Programming, pp. 14-23,
[Conference or Workshop Item]

Fürnkranz, Johannes (1993):
A Numerical Analysis of the KRK Domain.
[Other]

Fürnkranz, Johannes (1993):
Application of Machine Learning Methods to the KOSIMO Database.
[Other]

Fürnkranz, Johannes (1993):
The Role of Qualitative Knowledge in Machine Learning.
[Report]

Fürnkranz, Johannes (1993):
Avoiding Noise Fitting in a sc Foil-like Learning Algorithm.
[Report]

Fürnkranz, Johannes (1993):
sc Fossil: A robust relational learner.
[Report]

Fürnkranz, Johannes (1993):
Avoiding Noise Fitting in a {sc Foil}-like Learning Algorithm.
In: Proceedings of the IJCAI-93 Workshop on Inductive Logic Programming, pp. 14--23,
[Conference or Workshop Item]

Fürnkranz, Johannes (1993):
Bericht über {The 13th International Conference on Artificial Intelligence (IJCAI-93)}.
In: ÖGAI--Journal, 12 (1--2), pp. 10--12. [Article]

Fürnkranz, Johannes (1991):
Induktives Lernen durch Generieren von Decision Trees.
TU Darmstadt, [Diploma Thesis or Magisterarbeit]

Fürnkranz, Johannes (1990):
Explanation-Based Learning in der Domäne Schach.
[Other]

G

Gao, Yang ; Zhao, Wei ; Eger, Steffen (2020):
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization.
ACL'20: 58th Annual Meeting of the Association for Computational Linguistics, virtual Conference, 05.-10.07, [Conference or Workshop Item]

Gabriel, Alexander ; Paulheim, Heiko ; Janssen, Frederik
Cellier, Peggy ; Charnois, Thierry ; Hotho, Andreas ; Matwin, Stan ; Moens, Marie-Francine ; Toussaint, Yannick (eds.) (2014):
Learning Semantically Coherent Rules.
1202, pp. 49-63, Nancy, France, CEUR Workshop Proceedings, 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), Nancy, France, ISSN 1613-0073,
[Conference or Workshop Item]

Güttinger, Dennis (2013):
A New Metaheuristic Approach for Stabilizing the Solution Quality of Simulated Annealing and Applications.
Darmstadt, Germany, TU Darmstadt,
[Ph.D. Thesis]

Ghiglieri, Marco ; Fürnkranz, Johannes (2010):
Learning to Recognize Missing E-mail Attachments.
In: Applied Artificial Intelligence, 24 (5), pp. 443-462. [Article]

Galickis, Aleksandrs (2009):
Informationsextraktion aus Lebensläufen.
TU Darmstadt, [Master Thesis]

Ghiglieri, Marco (2009):
Thunderbird-Plugin zur Attachment-Prüfung.
TU Darmstadt, [Master Thesis]

Ghiglieri, Marco ; Fürnkranz, Johannes (2009):
Learning To Recognize Missing E-mail Attachments.
[Report]

Gamberger, Dragan ; Lavrac, Nada ; Fürnkranz, Johannes
Ho, Tu-Bao ; Zhou, Zhi-Hua (eds.) (2008):
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), pp. 636-645,
Springer-Verlag, [Conference or Workshop Item]

Grieser, Gunter (2008):
Reflective inductive inference of recursive functions.
In: Theor. Comput. Sci., 397 (1-3), pp. 57-69. [Article]

Gualeni, Markus (2006):
Konzeption und Erstellung einer E-Learning-Lektion zu Cross-Validation in DaMiT.
TU Darmstadt, [Master Thesis]

Grieser, Gunter ; Lange, Steffen
Kaschek, Roland (ed.) (2005):
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, [Conference or Workshop Item]

Grieser, Gunter ; Lange, Steffen (2004):
Incremental Learning of Approximations from positive data.
In: Information Processing Letters, 89 (1), pp. 37-42. [Article]

Grieser, Gunter ; Grigoriev, Peter
Jantke, Klaus ; Wittig, Wolfgang S. ; Herrmann, Jörg (eds.) (2003):
Erstellung {und Integration eines Hypervideos in das E-Learning-System DaMiT -- Ein Erfahrungsbericht}.
In: Von e-Learning bis e-Payment 2003. Das Internet als sicherer Marktplatz. Tagungsband LIT'03, pp. 269--277,
Akademische Verlags-Gesellschaft, [Conference or Workshop Item]

Grieser, Gunter ; Lange, Steffen ; Memmel, Martin
Jantke, Klaus ; Wittig, Wolfgang S. ; Herrmann, Jörg (eds.) (2003):
DaMiT: Ein adaptives Tutorsystem für Data-Mining.
In: Von e-Learning bis e-Payment 2003. Das Internet als sicherer Marktplatz. Tagungsband LIT'03, pp. 192--203,
Akademische Verlags-Gesellschaft, [Conference or Workshop Item]

Grieser, Gunter ; Jantke, Klaus ; Lange, Steffen
Kokai, Gabriella ; Zeidler, Jens (eds.) (2002):
Conceptualization to Develop Machine Learning Techniques for Information Extraction: Consistency Queries.
In: GI--Fachgruppentreffen Maschinelles Lernen, Tagungsbericht, pp. 4--12,
[Conference or Workshop Item]

Grieser, Gunter
Cesa-Bianchi, Nicol`o ; Numao, Masayuki ; Reischuk, Rüdiger (eds.) (2002):
Reflective Inductive Inference of Recursive Functions.
In: Lecture Notes in Artificial Intelligence, In: Proc. 13th International Conference on Algorithmic Learning Theory, pp. 203-217,
Springer--Verlag, [Conference or Workshop Item]

Grieser, Gunter (2002):
Selbsteinschätzende Lernverfahren: Möglichkeiten und Grenzen.
In: DISKI, Akademische Verlags-Gesellschaft, ISBN 3-89838-259-1,
[Book]

Grieser, Gunter
Keller, J. ; Girard-Carrier, C. (eds.) (2000):
Hypothesis assessments as guidance for incremental and meta-learning.
In: Proc. 11th European Conference on Machine Learning, Workshop on Meta Learning: Building Automatic Advice Strategies for Model Selection and Method Combination, pp. 97--108,
[Conference or Workshop Item]

Grieser, Gunter ; Jantke, Klaus ; Lange, Steffen ; Niehoff, Wilhelm
Kern, Heinrich (ed.) (2000):
{LExIKON} -- Systemarchitekturen zur Extraktion von Information aus dem Internet.
In: 45. Internationales Wissenschaftliches Kolloquium der TU Ilmenau, 4.--6. Oktober 2000, Ilmenau, pp. 913--918,
Technische Universität Ilmenau, [Conference or Workshop Item]

Grieser, Gunter ; Jantke, Klaus ; Lange, Steffen ; Thomas, Bernd
Arikawa, S. ; Morishita, S. (eds.) (2000):
A Unifying Approach to {HTML} Wrapper Representation and Learning.
In: Lecture Notes in Artificial Intelligence, In: Proc. 3rd International Conference on Discovery Science, pp. 50--64,
Springer--Verlag, ISBN 3-540-41352-9,
[Conference or Workshop Item]

Grieser, Gunter
Perner, Petra (ed.) (1999):
Auf dem {Weg} zum inkrementellen {Lernen} von {Entscheidungsbäumen} mittels {Hypothesenbewertungen}.
In: GI--Fachgruppentreffen Maschinelles Lernen, Tagungsbericht, pp. 90--99,
[Conference or Workshop Item]

Grieser, Gunter ; Jantke, Klaus ; Lange, Steffen
Cook, Diane (ed.) (1998):
Characterizing Sufficient Expertise for Learning Systems Validation.
In: Proc. 11th International FLAIRS Conference, May, 17--20, 1998, Sanibel, Florida, pp. 452--456,
AAAI Press, Menlo Park, [Conference or Workshop Item]

Grieser, Gunter ; Jantke, Klaus ; Lange, Steffen
Iwama, Kazuo (ed.) (1998):
Towards {TCS} Concepts for Characterizing Expertise in Learning Systems Validation.
In: RIMS Kokyuroku, 1041, In: Algorithms and Theory of Computing, 1998 Winter LA Symposium, Proc., Febr. 2--4, 1998, Kyoto, Japan, pp. 103--110,
Kyoto University Research Inst. Mathem. Sciences (RIMS), [Conference or Workshop Item]

Grieser, Gunter
Wittig, Wolfgang S. ; Grieser, Gunter (eds.) (1998):
Validation of Internet Agents -- Setting the Stage for a Case Study.
In: LIT'98, 6. Leipziger Informatik-Tage an der HTWK Leipzig, 1.-2. Oktober 1997, Tagungsbericht, pp. 85--90,
Forschungsinstitut für InformationsTechnologien Leipzig e.V. (FIT Leipzig e.V.), [Conference or Workshop Item]

Grieser, Gunter ; Jantke, Klaus ; Lange, Steffen
Wittig, Wolfgang S. ; Grieser, Gunter (eds.) (1997):
A Formal Framework for Validation of Learning Systems.
In: LIT'97, 5. Leipziger Informatik-Tage an der HTWK Leipzig, 25--26. September 1997, Tagungsbericht, pp. 111--116,
[Conference or Workshop Item]

Grieser, Gunter
Wittig, Wolfgang S. ; Grieser, Gunter (eds.) (1997):
Competence Assessment vs. Validation in the Context of Learning Systems.
In: LIT'97, 5. Leipziger Informatik-Tage an der HTWK Leipzig, 25--26. September 1997, Tagungsbericht, pp. 117--122,
[Conference or Workshop Item]

Grieser, Gunter
Jantke, Klaus ; Grieser, Gunter ; Wittig, Wolfgang S. (eds.) (1997):
Selbsteinschätzung im Lernen.
In: Impulse für Informatik-Innovationen, pp. 193--202, Infix--Verlag, [Book Section]

Grieser, Gunter
Arikawa, Setsuo ; Sharma, Karun (eds.) (1996):
Reflecting Inductive Inference Machines and its Improvement by Therapy.
In: Lecture Notes in Artificial Intelligence, 1160, In: Proc. 7th International Workshop on Algorithmic Learning Theory, pp. 325--336,
Springer--Verlag, [Conference or Workshop Item]

Grieser, Gunter
Dilger, Werner ; Schlosser, Michael ; Zeidler, Jens ; Ittner, Andreas (eds.) (1996):
Reflective Language Learning of Indexed Families.
In: Chemnitzer Informatik-Berichte, In: GI--Fachgruppentreffen Maschinelles Lernen, Tagungsbericht, pp. 42--47,
[Conference or Workshop Item]

Grieser, Gunter
Jantke, Klaus ; Grieser, Gunter (eds.) (1996):
Von Selbsteinschätzung zur Therapie im Lernen.
In: LIT'96, 4. Leipziger Informatik-Tage an der HTWK Leipzig, 29--30. August 1996, Tagungsbericht, pp. 203--208,
[Conference or Workshop Item]

Grieser, Gunter (1996):
{TLPS}, Eine Experimentierumgebung für Termersetzungssysteme ({TRS}).
In: Informatik - Forschung &{} Entwicklung, 11 (3), p. 150. Springer--Verlag, [Article]

Grieser, Gunter
Jantke, Klaus ; Lange, Steffen (eds.) (1995):
{TLPS} -- a Term Rewriting Laboratory (not only) for Experiments in Automatic Program Synthesis.
In: Lecture Notes in Artificial Intelligence, 961, In: Algorithmic Learning for Knowledge-Based Systems, pp. 467--481, Springer--Verlag, [Book Section]

H

Hirschmann, Fabian ; Nam, Jinseok ; Fürnkranz, Johannes (2016):
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, pp. 3199-3208,
[Conference or Workshop Item]

Hüllermeier, Eyke ; Fürnkranz, Johannes (2013):
Editorial: Preference Learning and Ranking.
In: Machine Learning, 93 (2-3), pp. 185-189. [Article]

Hienert, Daniel ; Wegener, Daniel ; Paulheim, Heiko (2012):
Automatic Classification and Relationship Extraction for Multi-Lingual and Multi-Granular Events from Wikipedia.
In: CEUR-WS, 902, pp. 1-10, Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012), [Conference or Workshop Item]

Hertling, Sven (2012):
Hertuda results for OEAI 2012.
Seventh International Workshop on Ontology Matching (OM 2012), [Conference or Workshop Item]

Hertling, Sven ; Paulheim, Heiko (2012):
WikiMatch - Using Wikipedia for Ontology Matching.
Seventh International Workshop on Ontology Matching (OM 2012), [Conference or Workshop Item]

Hertling, Sven ; Paulheim, Heiko (2012):
WikiMatch results for OEAI 2012.
Seventh International Workshop on Ontology Matching (OM 2012), [Conference or Workshop Item]

Heinz, Alexander (2011):
Vorhersagequalität zufälliger Baumstrukturen.
TU Darmstadt, [Master Thesis]

Hüllermeier, Eyke ; Fürnkranz, Johannes (2010):
On Predictive Accuracy and Risk Minimization in Pairwise Label Ranking.
In: Journal of Computer and System Sciences, 76 (1), pp. 49-62. [Article]

Heinje, Stefan (2010):
Neuronale Netze in Go.
TU Darmstadt, [Master Thesis]

Hüllermeier, Eyke ; Fürnkranz, Johannes
Riccia, G. Della ; Dubois, D. ; Kruse, R. ; Lenz, Hans-Joachim (eds.) (2008):
Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants.
In: Preferences and Similarities, pp. 283-304, Springer-Verlag, [Book Section]

Hüllermeier, Eyke ; Fürnkranz, Johannes ; Cheng, Weiwei ; Brinker, Klaus (2008):
Label Ranking by Learning Pairwise Preferences.
In: Artificial Intelligence, 172, pp. 1897-1916. [Article]

Hüllermeier, Eyke ; Fürnkranz, Johannes
Riccia, Della ; Dubois, D. ; Kruse, R. ; Lenz, H.-J. (eds.) (2008):
Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants.
In: Preferences and Similarities, p. 283, Springer-Verlag, [Book Section]

Hüllermeier, Eyke ; Fürnkranz, Johannes
Kok, J. N. ; Koronacki, J. ; López de Mántaras, Ramon ; Matwin, S. ; Mladenić, Dunja ; Skowron, A. (eds.) (2007):
On Minimizing the Position Error in Label Ranking.
In: Proceedings of 18th European Conference on Machine Learning (ECML-07), pp. 583-590,
Springer-Verlag, [Conference or Workshop Item]

Hüllermeier, Eyke ; Fürnkranz, Johannes (2007):
On Minimizing the Position Error in Label Ranking.
[Report]

Hüllermeier, Eyke ; Fürnkranz, Johannes (2005):
Learning Label Preferences: Ranking Error versus Position Error.
In: Advances in Intelligent Data Analysis: Proceedings of the 6th International Symposium (IDA-05), pp. 180-191,
Springer-Verlag, [Conference or Workshop Item]

Hüllermeier, Eyke ; Fürnkranz, Johannes ; Beringer, Jürgen (2005):
On Position Error and Label Ranking through Iterated Choice.
In: LWA 2005, Lernen Wissensentdeckung Adaptivität, pp. 158-163,
German Research Center for Artificial Intelligence (DFKI), [Conference or Workshop Item]

Hüllermeier, Eyke ; Fürnkranz, Johannes ; Beringer, Jürgen (2005):
On Position Error and Label Ranking through Iterated Choice.
In: LWA 2005, Lernen Wissensentdeckung Adaptivität, pp. 158--163,
German Research Center for Artificial Intelligence (DFKI), [Conference or Workshop Item]

Hüllermeier, Eyke ; Fürnkranz, Johannes (2005):
Learning Label Preferences: Ranking Error versus Position Error.
In: Advances in Intelligent Data Analysis: Proceedings of the 6th International Symposium (IDA-05), pp. 180--191,
Springer-Verlag, [Conference or Workshop Item]

Hüllermeier, Eyke ; Fürnkranz, Johannes (2004):
Ranking by Pairwise Comparison: A Note on Risk Minimization.
In: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-04),
[Conference or Workshop Item]

Hüllermeier, Eyke ; Fürnkranz, Johannes (2004):
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),
[Conference or Workshop Item]

J

Jäger, Jonas (2019):
Self-Imitation Regularization: Regularizing Neural Networks by Leveraging Their Dark Knowledge.
Darmstadt, Technische Universität, [Bachelor Thesis]

Janssen, Frederik (2012):
Heuristic Rule Learning.
Darmstadt, TU Darmstadt / Knowledge Engineering,
[Ph.D. Thesis]

Janssen, Frederik ; Fallahi, Faraz ; Noessner, Jan ; Paulheim, Heiko (2012):
Towards Rule Learning Approaches to Instance-based Ontology Matching.
pp. 13-18, 1st International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD), [Conference or Workshop Item]

Janssen, Frederik ; Zopf, Markus (2012):
The SeCo-Framework for Rule Learning.
Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2012, [Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2010):
On the Quest for Optimal Rule Learning Heuristics.
In: Machine Learning, 78 (3), pp. 343-379. [Article]

Janssen, Frederik ; Fürnkranz, Johannes (2010):
Separate-and-conquer Regression.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes (2010):
The SeCo-framework for rule learning.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes
Park, Haesun ; Parthasarathy, Srinivasan ; Liu, Huan ; Obradovic, Zoran (eds.) (2009):
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
In: Proceedings of the SIAM International Conference on Data Mining (SDM-09), pp. 329-340,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2008):
An Empirical Quest for Optimal Rule Learning Heuristics.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes (2008):
A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes
Boulicaut, Jean-Francois ; Berthold, Michael R. ; Horváth, T. (eds.) (2008):
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), pp. 40-51,
Springer-Verlag, [Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2008):
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
In: Proceedings of the LWA 2008: Lernen -- Wissen -- Adaption,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes
Horvath, T. ; Boulicaut, J.-F. ; Berthold, M. (eds.) (2008):
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),
Springer-Verlag, [Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes
Brazdil, Pavel B. ; Bernstein, A. (eds.) (2007):
Meta-Learning a Rule Learning Heuristic.
In: Proceedings of ECML-PKDD-07 Workshop on Planning to Learn (PlanLearn-07),
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2007):
On Meta-Learning Rule Learning Heuristics.
In: Proceedings of the 7th IEEE Conference on Data Mining (ICDM-07), pp. 529-534,
[Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes (2007):
Meta-Learning Rule Learning Heuristics.
In: Proceedings of the LWA 2007: Lernen -- Wissen -- Adaption, pp. 167-174,
[Conference or Workshop Item]

Jetchev, Nikolay (2007):
Similarity Measures for Smooth Web Page Classification.
TU Darmstadt, [Master Thesis]

Jetchev, Nikolay (2007):
Consistency Learning and Multiple Rankings Combination for Text Retrieval.
TU Darmstadt, [Master Thesis]

Janssen, Frederik ; Fürnkranz, Johannes (2007):
Meta-Learning Rule Learning Heuristics.
[Report]

Janssen, Frederik ; Fürnkranz, Johannes (2006):
On Trading Off Consistency and Coverage in Inductive Rule Learning.
In: Lernen - Wissensentdeckung - Adaptivität : 9. - 11.10. 2006 in Hildesheim; [proceedings] / LWA 2006. Martin Schaaf ... (Hrsg.). - Hildesheim : Inst. für Informatik, 2006, S. 306-313 (Hildesheimer Informatik-Berichte ; 2006,1), 11.10. 2006 in Hildesheim; [proceedings] / LWA 2006. Martin Schaaf ... (Hrsg.). - Hildesheim, Inst. für Informatik, [Conference or Workshop Item]

Janssen, Frederik ; Fürnkranz, Johannes
Althoff, Klaus-Dieter ; Schaaf, M. (eds.) (2006):
On Trading Off Consistency and Coverage in Inductive Rule Learning.
In: Proceedings of the LWA 2006, Lernen Wissensentdeckung Adaptivität, pp. 306-313,
Gesellschaft f{\"u}r Informatik e. V. (GI), [Conference or Workshop Item]

Jajeh, Thomas (2006):
Spielregeln zur realistischen Durchführung strategischer Planspiele - Dargestellt am Planspiel Wargaming.
TU Darmstadt, [Master Thesis]

Janssen, Frederik (2006):
Eine Untersuchung des Trade-Offs zwischen Precision and Coverage bei Regel-Lern-Heuristiken.
TU Darmstadt, [Master Thesis]

Jantke, Klaus P. ; Degel, Gerhard ; Grieser, Gunter ; Memmel, Martin ; Rostanin, Oleg ; Tschiedel, Bernd
Auer, Michael E. ; Auer, Ursula (eds.) (2004):
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),
ISBN 3-89958089-3,
[Conference or Workshop Item]

Jantke, Klaus P. ; Grieser, Gunter ; Lange, Steffen ; Memmel, Martin
Abecker, A. ; Bickel, S. ; Brefeld, U. ; Drost, I. ; Henze, N. ; Herden, O. ; Minor, M. ; Scheffer, Tobias ; Stojanovic, L. ; Weibelzahl, S. (eds.) (2004):
DaMiT: Data Mining lernen und lehren.
In: LWA 2004, Lernen -- Wissensentdeckung -- Adaptivität, 4.-6.Oktober 2004, pp. 171-179,
[Conference or Workshop Item]

Jantke, Klaus P. ; Grieser, Gunter ; Lange, Steffen
Auer, Michael E. ; Auer, Ursula (eds.) (2004):
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),
ISBN 3-89958089-3,
[Conference or Workshop Item]

Jantke, Klaus P. ; Lange, Steffen ; Grieser, Gunter ; Grigoriev, Peter ; Thalheim, Bernhard ; Tschiedel, Bernd
Seruca, Isabel ; Filipe, Joaquim ; Hammoudi, Slimane ; Cordeiro, José (eds.) (2004):
Learning by Doing and Learning When Doing. Dovetailing E-Learning and Decision Support with a Data Mining Tutor.
pp. 238-241, Sixth International Conference on Enterprise Information Systems (ICEIS 2004), Porto, Portugal, April 14.-17., ISBN 972-8865-00-7,
DOI: 10.5220/0002623602380241,
[Conference or Workshop Item]

Jantke, Klaus P. ; Lange, Steffen ; Grieser, Gunter ; Grigoriev, Peter ; Thalheim, Bernhard ; Tschiedel, Bernd
Sawodny, Oliver ; Scharff, Peter (eds.) (2004):
Work-Integrated E-Learning -- The DaMiT Approach.
In: 49. Internationales Wissenschaftliches Kolloquium, TU Ilmenau, 27.-30. September 2004, Conference Proceedings, Volume 2, pp. 333-339,
Shaker Verlag, [Conference or Workshop Item]

Jantke, Klaus ; Lange, Steffen ; Grieser, Gunter ; Grigoriev, Peter ; Thalheim, Bernhard ; Tschiedel, Bernd
Sawodny, Oliver ; Scharff, Peter (eds.) (2004):
Work-Integrated E-Learning -- The {DaMiT} Approach.
In: 49. Internationales Wissenschaftliches Kolloquium, TU Ilmenau, 27.-30. September 2004, Conference Proceedings, Volume 2, pp. 333--339,
Shaker Verlag, [Conference or Workshop Item]

Jantke, Klaus ; Grieser, Gunter ; Lange, Steffen
Auer, Ursula ; Auer, Michael E. (eds.) (2004):
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),
ISBN 3-89958089-3,
[Conference or Workshop Item]

Jantke, Klaus ; Grieser, Gunter ; Lange, Steffen
Auer, Michael E. ; Auer, Ursula (eds.) (2004):
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),
ISBN 3-89958089-3,
[Conference or Workshop Item]

Jantke, Klaus ; Grieser, Gunter ; Lange, Steffen (2003):
Formalisms Underlying Intuitiveness in Human-Computer Interfaces.
In: Proc. 3rd International workshop on Access Architectures for Organization and Accessing Intellectual Assets,
[Conference or Workshop Item]

Jantke, Klaus ; Grieser, Gunter
Grieser, Gunter ; Beick, Hans-Rainer ; Jantke, Klaus (eds.) (1998):
Domain Expertise vs. Validation Expertise.
In: Series of Meme Media Management, In: Aspects of Intelligent Systems Validation, pp. 21--26,
[Conference or Workshop Item]

Jantke, Klaus ; Grieser, Gunter
Beick, Hans-Rainer ; Jantke, Klaus (eds.) (1998):
Validation of Internet Agents -- Any Hope?
In: Series of Meme Media Management, In: Future Trends in Intelligent Systems Validatio, pp. 87--90,
[Conference or Workshop Item]

K

Kulessa, Moritz ; Mencía, Eneldo Loza ; Fürnkranz, Johannes (2021):
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance. (Publisher's Version)
In: Computers, 10 (3), MDPI, e-ISSN 2073-431X,
DOI: 10.26083/tuprints-00019322,
[Article]

Klein, Yannik ; Rapp, Michael ; Loza Mencía, Eneldo
Kralj Novak, Petra ; Šmuc, Tomislav ; Džeroski, Sašo (eds.) (2019):
Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning.
pp. 367-382, DS'19 - 22nd International Conference on Discovery Science, Split, Croatia, October 28.–30., 2019, ISBN 978-3-030-33778-0,
DOI: 10.1007/978-3-030-33778-0_28,
[Conference or Workshop Item]

Kauschke, Sebastian (2019):
Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Kobbe, Jonathan ; Opitz, Juri ; Becker, Maria ; Hulpus, Ioana ; Stuckenschmidt, Heiner ; Frank, Anette (2019):
Exploiting Background Knowledge for Argumentative Relation Classification.
Second Biennial Conference on Language, Data and Knowledge (LDK 2019), [Conference or Workshop Item]

Kauschke, Sebastian ; Mühlhäuser, Max ; Fürnkranz, Johannes (2018):
Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders.
pp. 131-136, Orlando, IEEE, IEEE ICMLA 2018 : 17th IEEE International Conference On Machine Learning And Applications, Orlando, Florida, Dec 17, 2018 - Dec 20, 2018, [Conference or Workshop Item]

Kauschke, Sebastian ; Mühlhäuser, Max ; Fürnkranz, Johannes (2018):
Leveraging Reproduction-Error Representations for Multi-Instance Classification.
In: Lecture Notes on Artificial Intelligence, 11198, In: Discovery Science, pp. 83-95,
Cham, Springer Nature, 21st International Conference on Discovery Science, Limassol, Cyprus, October 29–31, 2018, ISBN Print 978-3-030-01770-5 Online 978-3-030-01771-2,
DOI: 10.1007/978-3-030-01771-2_6,
[Conference or Workshop Item]

Kauschke, Sebastian ; Fürnkranz, Johannes (2018):
Batchwise Patching of Classifiers.
Proceedings of the 32nd AAAI Conference on Artificial Intelligence, New Orleans, LA, USA, February 2-7, 2018, [Conference or Workshop Item]

Kauschke, Sebastian ; Fürnkranz, Johannes ; Janssen, Frederik (2016):
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype.
In: Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings, pp. 151-166,
Cham, Springer, Bari, Italy, October 19–21, 2016, ISBN 978-3-319-46306-3,
DOI: 10.1007/978-3-319-46307-0_10,
[Conference or Workshop Item]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel (2015):
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.
KDML: Workshop on Knowledge Discovery, Data Mining and Machine Learning, Trier, [Conference or Workshop Item]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel (2015):
Advances in Predictive Maintenance for a Railway Scenario - Project Techlok.
[Report]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel
Bergmann, Ralph ; Görg, Sebastian ; Müller, Gilbert (eds.) (2015):
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.
In: CEUR Workshop Proceedings, 1458, In: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., pp. 121-132,
LWA 2015 conference, Trier, Germany, October 7-9, 2015, [Conference or Workshop Item]

Kauschke, Sebastian ; Schweizer, Immanuel ; Fiebrig, Michael ; Janssen, Frederik
Seidl, Thomas ; Hassani, Marwan ; Beecks, Christian (eds.) (2014):
Learning to Predict Component Failures in Trains.
In: CEUR workshop proceedings, 1226, In: LWA 2014 Workshops KDML, IR and FGWM : proceedings of the 16th LWA Workshops, pp. 71-82,
Aachen, Germany, 16th LWA Workshops : KDML, IR and FGWM, Aachen, Germany, September 8 - 10, 2014, [Conference or Workshop Item]

Karpf, Anne-Christine (2010):
Bidirectional Rule Learning.
TU Darmstadt, [Master Thesis]

Kaufmann, Peter ; Ciordas-Fanghäuser, George-Petru (2008):
gAImes-Engine -- Ein KI Framework für Computerspiele.
TU Darmstadt, [Master Thesis]

Keller, Jens (2008):
Clustering biological data using a hybrid approach: Composition of clusterings from different features.
TU Darmstadt, [Master Thesis]

Knobbe, Arno J. ; Crémilleux, Bruno ; Fürnkranz, Johannes ; Scholz, Martin
Knobbe, Arno J. (ed.) (2008):
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), pp. 1-16,
[Conference or Workshop Item]

Knobbe, Arno ; Crémilleux, Bruno ; Fürnkranz, Johannes ; Scholz, Martin
Fürnkranz, Johannes ; Knobbe, Arno (eds.) (2008):
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), pp. 1--16,
[Conference or Workshop Item]

Koester, Bjoern (2006):
FooCA: Mining Web Search Results Using Formal Concept Analysis.
TU Darmstadt, [Master Thesis]

Kuhn, Christof (2006):
Ansätze eines TI-Coaching-Systems zur Unterstützung von Lernenden im Bereich der Theoretischen Informatik.
TU Darmstadt, [Master Thesis]

Kirmse, Karoline (2006):
Eine Methode zur Berechnung der Ähnlichkeit zwischen Konzepten unter Berücksichtigung der Modellierungsperspektive.
TU Darmstadt, [Master Thesis]

Koester, Bjoern
Perner, P. (ed.) (2006):
Conceptual Knowledge Retrieval with {FooCA}: Improving Web Search Engine Results with Contexts and Concept Hierarchies.
In: Proceedings of the 6th Industrial Conference on Data Mining (ICDM-06), pp. 176-190,
[Conference or Workshop Item]

Koester, Bjoern
Bauer, Mathias ; Brandherm, Boris ; Fürnkranz, Johannes ; Grieser, Gunter ; Hotho, Andreas ; Jedlitschka, Andreas ; Kröner, Alexander (eds.) (2005):
Conceptual Knowledge Processing with {Google}.
In: Lernen, Wissensentdeckung und Adaptivität (LWA-05), pp. 178-183,
[Conference or Workshop Item]

Kovar, Klaus ; Fürnkranz, Johannes ; Petrak, Johann ; Pfahringer, Bernhard ; Trappl, Robert ; Widmer, Gerhard (2000):
Searching for Patterns in Political Event Sequences: Experiments with the KEDS Database.
In: Cybernetics and Systems, 31 (6), pp. 649-668. [Article]

Kovar, Klaus ; Fürnkranz, Johannes ; Petrak, Johann ; Pfahringer, Bernhard ; Trappl, Robert ; Widmer, Gerhard (2000):
Searching for Patterns in Political Event Sequences: Experiments with the {KEDS} Database.
In: Cybernetics and Systems, 31 (6), pp. 649--668. [Article]

Kramer, Stefan ; Fürnkranz, Johannes (1998):
Bericht über ILP-98, ICML-98 und AAAI-98.
In: ÖGAI--Journal, 17 (3), pp. 2-9. [Article]

Kramer, Stefan ; Fürnkranz, Johannes (1998):
Bericht über {ILP-98, ICML-98 und AAAI-98}.
In: ÖGAI--Journal, 17 (3), pp. 2--9. [Article]

L

López, Federico ; Heinzerling, Benjamin ; Strube, Michael (2019):
Fine-Grained Entity Typing in Hyperbolic Space.
Florence, Italy, 4th Workshop on Representation Learning for NLP (RepL4NLP), [Conference or Workshop Item]

Loza Mencía, Eneldo ; Fürnkranz, Johannes ; Hüllermeier, Eyke ; Rapp, Michael
Escalante, Hugo Jair ; Escalera, Sergio ; Guyon, Isabelle ; Baró, Xavier ; Gerven, Marcel van ; Güclütürk, Yagmur ; Güclü, Umut (eds.) (2018):
Learning Interpretable Rules for Multi-Label Classification.
In: Explainable and Interpretable Models in Computer Vision and Machine Learning, pp. 81-113, Cham, Springer International Publishing, ISBN 978-3-319-98131-4,
DOI: 10.1007/978-3-319-98131-4_4,
[Book Section]

Loza Mencía, Eneldo ; Janssen, Frederik
Džeroski, Sašo ; Panov, Panče ; Kocev, Dragi ; Todorovski, Ljupčo (eds.) (2014):
Stacking Label Features for Learning Multilabel Rules.
In: Lecture Notes in Computer Science, 8777, In: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings, pp. 192-203, Springer, ISBN 978-3-319-11811-6,
[Book Section]

Loza Mencía, Eneldo (2013):
Efficient Pairwise Multilabel Classification.
Darmstadt, TU Darmstadt,
[Ph.D. Thesis]

Loza Mencía, Eneldo ; Nam, Jinseok ; Lee, Dong-Hyun
Glotin, H. ; LeCun, Y. ; Mallat, Stéphane ; Tchernichovski, Ofer ; Artières, Thierry ; Halkias, Xanadu (eds.) (2013):
Learning multi-labeled bioacoustic samples with an unsupervised feature learning approach.
pp. 184-189, Proceedings of Neural Information Scaled for Bioacoustics, from Neurons to Big Data, ISSN 979-10-90821-04-0,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Holthausen, Simon ; Schulz, Axel ; Janssen, Frederik (2013):
Using Data Mining on Linked Open Data for Analyzing E-Procurement Information.
Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD2013, [Conference or Workshop Item]

Loza Mencía, Eneldo ; Janssen, Frederik
Henrich, Andreas ; Sperker, Hans-Christian (eds.) (2013):
Towards Multilabel Rule Learning.
pp. 155-158, Bamberg, Germany, Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, Bamberg, Germany, [Conference or Workshop Item]

Loza Mencía, Eneldo (2012):
Efficient Pairwise Multilabel Classification.
Technische Universität Darmstadt, Knowledge Engineering Group,
[Ph.D. Thesis]

Loza Mencía, Eneldo ; Park, Sang-Hyeun ; Fürnkranz, Johannes (2010):
Efficient Voting Prediction for Pairwise Multilabel Classification.
In: Neurocomputing, 73 (7-9), pp. 1164 - 1176. ISSN 0925-2312,
[Article]

Lavrac, Nada ; Fürnkranz, Johannes ; Gamberger, Dragan
Koronacki, Jacek ; Ras, Zbigniew ; Wierzchon, Slawomir T. ; Kacprzyk, Janusz (eds.) (2010):
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, pp. 121-146, Springer-Verlag, ISBN 978-3-642-05176-0,
[Book Section]

Loza Mencía, Eneldo ; Fürnkranz, Johannes
Francesconi, Enrico ; Montemagni, Simonetta ; Peters, Wim ; Tiscornia, Daniela (eds.) (2010):
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
6036, In: Semantic Processing of Legal Texts -- Where the Language of Law Meets the Law of Language, pp. 192-215, Springer-Verlag, ISBN 978-3-642-12836-3,
[Book Section]

Loza Mencía, Eneldo
Atzmüller, Martin ; Benz, Dominik ; Hotho, Andreas ; Stumme, Gerd (eds.) (2010):
An Evaluation of Multilabel Classification for the Automatic Annotation of Texts.
In: Proceedings of the LWA 2010: Lernen, Wissen & Adaptivität, Workshop on Knowledge Discovery and Machine Learning (KDML 2010), pp. 121-123,
[Conference or Workshop Item]

Loza Mencía, Eneldo
Zhang, Min-Ling ; Tsoumakas, Grigorios ; Zhou, Zhi-Hua (eds.) (2010):
Multilabel Classification in Parallel Tasks.
In: Working Notes of the 2nd International Workshop on Learning from Multi-Label Data at ICML/COLT 2010, pp. 29-36,
[Conference or Workshop Item]

Li, Jun (2010):
Selbst lernendes qualitätssensitives Testmanagement.
TU Darmstadt, [Master Thesis]

Lortz, Steffen (2010):
Clustering of Mailing List Discussions.
TU Darmstadt, [Master Thesis]

Loza Mencía, Eneldo ; Park, Sang-Hyeun ; Fürnkranz, Johannes (2009):
Efficient Voting Prediction for Pairwise Multilabel Classification.
In: Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN-09), pp. 117-122,
d-side publications, ISBN 2-930307-09-9,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Benz, Dominik ; Janssen, Frederik (eds.) (2009):
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), pp. 72-75,
[Conference or Workshop Item]

Loza Mencía, Eneldo (2009):
Segmentation of legal documents.
In: Proceedings of the 12th International Conference on Artificial Intelligence and Law, pp. 88-97,
ACM, ISBN 978-1-60558-597-0,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Park, Sang-Hyeun ; Fürnkranz, Johannes (2008):
Advances in Efficient Pairwise Multilabel Classification.
[Report]

Ladebeck, Manuel (2008):
Applying Dynamic Scripting to "Jagged Alliance 2".
TU Darmstadt, [Master Thesis]

Loza Mencía, Eneldo ; Fürnkranz, Johannes
Daelemans, Walter ; Goethals, Bart ; Morik, Katharina (eds.) (2008):
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.
5212, In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Disocvery in Databases (ECML-PKDD-2008), Part II, pp. 50-65,
Springer, ISBN 978-3-540-87480-5,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Fürnkranz, Johannes (2008):
Pairwise Learning of Multilabel Classifications with Perceptrons.
In: Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN-08), pp. 2900-2907,
ISBN 978-1-4244-1821-3,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Fürnkranz, Johannes
Montemagni, Simonetta ; Tiscornia, Daniela ; Francesconi, Enrico ; Peters, Wim (eds.) (2008):
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, pp. 29-32,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Fürnkranz, Johannes
Daelemans, Walter ; Goethals, Bart ; Morik, Katharina (eds.) (2008):
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, p. 50,
Springer-Verlag, [Conference or Workshop Item]

Loza Mencía, Eneldo ; Fürnkranz, Johannes
Hinneburg, Alexander (ed.) (2007):
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
In: Proceedings of the LWA 2007: Lernen - Wissen - Adaption, pp. 126-132,
ISBN 978-3-86010-907-6,
[Conference or Workshop Item]

Loza Mencía, Eneldo ; Fürnkranz, Johannes (2007):
Pairwise Learning of Multilabel Classifications with Perceptrons.
[Report]

Loza Mencía, Eneldo ; Fürnkranz, Johannes (2007):
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.
In: Proceedings of the LWA 2007: Lernen -- Wissen -- Adaption, p. 126,
[Conference or Workshop Item]

Loza Mencía, Eneldo (2006):
Paarweises Lernen von Multilabel-Klassifikationen mit dem Perzeptron-Algorithmus.
TU Darmstadt, [Master Thesis]

Lange, Steffen ; Grieser, Gunter ; Zeugmann, Thomas (2005):
Inductive inference of approximations for recursive concepts.
In: Theor. Comput. Sci., 348 (1), pp. 15-40. [Article]

Lange, Steffen ; Grieser, Gunter ; Jantke, Klaus (2003):
Advanced elementary formal systems.
In: Theoretical Computer Science, 298, pp. 51--70. [Article]

Lange, Steffen ; Jantke, Klaus ; Grieser, Gunter ; Niehoff, Wilhelm
Kern, Heinrich (ed.) (2000):
{LExIKON} -- Lernszenarios für die Extraktion von Information aus dem Internet.
In: 45. Internationales Wissenschaftliches Kolloquium der TU Ilmenau, 4.--6. Oktober 2000, Ilmenau, pp. 901--906,
Technische Universität Ilmenau, [Conference or Workshop Item]

M

Mihaylov, Todor ; Frank, Anette (2019):
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension.
The 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, 03.12.2019-07.12.2019, [Conference or Workshop Item]

Meyer, Lars (2010):
Effizientes Reasoning über laufende Systeme am Beispiel eines Frameworks zur User Interface Integration.
TU Darmstadt, [Master Thesis]

Martynus, Matthäus (2008):
Adaptive Support of Knowledge Work by Analysis of User Objectives.
TU Darmstadt, [Master Thesis]

Mehlhase, Stephan (2008):
Kontextvorhersage in einem adaptiven, kontext-sensitiven System.
TU Darmstadt, [Master Thesis]

N

Nam, Jinseok (2019):
Learning Label Structures with Neural Networks for Multi-label Classification.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Nam, Jinseok ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2016):
All-in Text: Learning Document, Label, and Word Representations Jointly.
In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 1948-1954,
Thirtieth AAAI Conference on Artificial Intelligence, [Conference or Workshop Item]

Nam, Jinseok ; Loza Mencía, Eneldo ; Kim, Hyunwoo J. ; Fürnkranz, Johannes (2015):
Predicting Unseen Labels using Label Hierarchies in Large-Scale Multi-label Learning.
pp. 102-118, Springer International Publishing, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ISSN 0302-9743, ISBN 978-3-319-23527-1,
[Conference or Workshop Item]

Nam, Jinseok ; Fürnkranz, Johannes (2014):
On Learning Vector Representations in Hierarchical Label Spaces.
In: arXiv preprint arXiv:1412.6881, [Article]

Nam, Jinseok ; Kim, Jungi ; Loza Mencía, Eneldo ; Gurevych, Iryna ; Fürnkranz, Johannes
Calders, Toon ; Esposito, Floriana ; Hüllermeier, Eyke ; Meo, Rosa (eds.) (2014):
Large-Scale Multi-label Text Classification - Revisiting Neural Networks.
In: Lecture Notes in Computer Science, 8725, pp. 437-452, Springer Berlin Heidelberg, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2, ISBN 978-3-662-44850-2,
[Conference or Workshop Item]

Nam, Jinseok (2014):
Semi-Supervised Neural Networks for Nested Named Entity Recognition.
pp. 144-148, Workshop on GermEval 2014 Named Entity Recognition Shared Task, KONVENS, [Conference or Workshop Item]

Nolle, Timo ; Schweizer, Immanuel ; Janssen, Frederik (2014):
Data-driven Detection of Congestion-affected Roads.
[Report]

Nattermann, Florian (2009):
Analyse von Heuristiken zur Evaluierung von Assoziationsregeln.
TU Darmstadt, [Master Thesis]

Nikolov, Dimitar (2007):
Support for User-friendly Customization of Knowledge Network Visualization.
TU Darmstadt, [Master Thesis]

Nam, Ge Hyun (2007):
Ordered Pairwise Classification.
TU Darmstadt, [Master Thesis]

Nikolov, Dimitar (2007):
Knowledge Network Visualization.
TU Darmstadt, [Master Thesis]

O

Opitz, Juri ; Frank, Anette (2019):
An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling.
Minneapolis, Minnesota, Proceedings of the 8th Joint Conference on Lexical and Computational Semantics (*SEM), Minneapolis, Minnesota, [Conference or Workshop Item]

Opitz, Juri ; Frank, Anette (2019):
Automatic Accuracy Prediction for AMR Parsing.
Minneapolis, Minnesota, Proceedings of the 8th Joint Conference on Lexical and Computational Semantics (*SEM), Minneapolis, Minnesota, [Conference or Workshop Item]

Opitz, Juri ; Born, Leo ; Nastase, Vivi ; Pultar, Yannick (2019):
Automatic Reconstruction of Emperor Itineraries from the Regesta Imperii.
Proceedings of the 3rd Conference for Digital Access to Textual Cultural Heritage (DATeCH), [Conference or Workshop Item]

P

Paul, Debjit ; Frank, Anette (2019):
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs.
1, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), [Conference or Workshop Item]

Paul, Debjit ; Hedderich, Michael A. (2019):
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, [Conference or Workshop Item]

Paulheim, Heiko ; Schulz, Axel ; Janssen, Frederik ; Ristoski, Petar ; Schweizer, Immanuel
Ege, Börteçin ; Humm, Bernhard ; Reibold, Anatol (eds.) (2015):
Intelligente Datenauswertung mit Linked Open Data.
In: Corporate Semantic Web: Wie semantische Anwendungen in Unternehmen Nutzen stiften, pp. 187-201, Springer-Verlag Berlin Heidelberg, Springer Vieweg, ISBN 978-3642548857,
[Book Section]

Park, Sang-Hyeun ; Fürnkranz, Johannes (2014):
Efficient Implementation of Class-Based Decomposition Schemes for Naive Bayes.
In: Machine Learning, 96 (3), pp. 295-309. [Article]

Park, Sang-Hyeun (2012):
Efficient Decomposition-Based Multiclass and Multilabel Classification.
TU Darmstadt,
[Ph.D. Thesis]

Park, Sang-Hyeun ; Fürnkranz, Johannes (2012):
Efficient prediction algorithms for binary decomposition techniques.
In: Data Mining and Knowledge Discovery, 24 (1), pp. 40-77. Springer Netherlands, ISSN 1384-5810,
[Article]

Paulheim, Heiko ; Oberle, Daniel ; Plendl, Roland ; Probst, Florian (2012):
An Architecture for Information Exchange based on Reference Models.
4th International Conference on Software Language Engineering (SLE 2011), [Conference or Workshop Item]

Paulheim, Heiko (2012):
Generating Possible Interpretations for Statistics from Linked Open Data.
In: LNCS, 7295, pp. 560-574, 9th Extended Semantic Web Conference (ESWC), [Conference or Workshop Item]

Paulheim, Heiko (2012):
Ontologiebasierte Applikationsintegration auf Nutzerschnittstellenebene.
In: LNI, D-12, pp. 133-142, Ausgezeichnete Informatikdissertationen 2011, [Conference or Workshop Item]

Paulheim, Heiko (2012):
Explain-a-LOD: Using Linked Open Data for Interpreting Statistics.
pp. 313-314, International Conference on Intelligent User Interfaces (IUI 2012), [Conference or Workshop Item]

Paulheim, Heiko ; Fürnkranz, Johannes (2012):
Unsupervised Generation of Data Mining Features from Linked Open Data.
International Conference on Web Intelligence and Semantics (WIMS'12), [Conference or Workshop Item]

Paulheim, Heiko (2012):
Browsing Linked Open Data with Auto Complete.
Semantic Web Challenge, [Conference or Workshop Item]

Paulheim, Heiko (2012):
WeSeE-Match results for OEAI 2012.
Seventh International Workshop on Ontology Matching (OM 2012), [Conference or Workshop Item]

Paulheim, Heiko ; Pan, Jeff Z. (2012):
Why the Semantic Web Should Become More Imprecise.
What will the Semantic Web look like 10 years from now?, [Conference or Workshop Item]

Paulheim, Heiko ; Probst, Florian (2011):
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),
[Conference or Workshop Item]

Paulheim, Heiko ; Plendl, Roland ; Probst, Florian ; Oberle, Daniel (2011):
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), pp. 200-205,
[Conference or Workshop Item]

Paulheim, Heiko ; Meyer, Lars (2011):
Ontology-based Information Visualization in Integrated UIs.
In: Proceedings of the 2011 International Conference on Intelligent User Interfaces (IUI), pp. 451-452,
ACM, [Conference or Workshop Item]

Paulheim, Heiko (2011):
Ontology-based application integration.
New York, Springer, TU Darmstadt, ISBN 978-1-461-41429-2 ; 1-461-41429-6,
[Ph.D. Thesis]

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

Paulheim, Heiko ; Probst, Florian (2010):
Ontology-Enhanced User Interfaces: A Survey.
In: International Journal on Semantic Web and Information Systems, 6 (2), pp. 36-59. [Article]

Park, Sang-Hyeun ; Weizsäcker, Lorenz ; Fürnkranz, Johannes
Pfahringer, Bernhard ; Holmes, Geoff ; Hoffmann, Achim (eds.) (2010):
Exploiting Code Redundancies in ECOC.
6332, In: Discovery Science, pp. 266-280,
Springer Berlin / Heidelberg, [Conference or Workshop Item]

Paulsen, Philip ; Fürnkranz, Johannes
Thurau, Christian ; Driessens, Kurt ; Missura, Olana (eds.) (2010):
A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths.
In: Proceedings of the ICML-10 Workshop on Machine Learning and Games,
[Conference or Workshop Item]

Paulheim, Heiko (2010):
Seamlessly Integrated, but Loosely Coupled - Building UIs from Heterogeneous Components.
In: ASE '10: Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, pp. 123-126,
ACM, ISBN 978-1-4503-0116-9,
[Conference or Workshop Item]

Paulheim, Heiko ; Erdogan, Atila (2010):
Seamless Integration of Heterogeneous UI Components.
In: Proceedings of the 2nd ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2010), pp. 303-308,
ACM, [Conference or Workshop Item]

Paulheim, Heiko
Aroyo, Lora ; Antoniou, Grigoris ; Hyvönen, Eero ; ten Teije, Annette ; Stuckenschmidt, Heiner ; Cabral, Liliana ; Tudorache, Tania (eds.) (2010):
Efficient Semantic Event Processing: Lessons Learned in User Interface Integration.
6089, In: The Semantic Web: Research and Applications, Part II, pp. 60-74,
Springer, [Conference or Workshop Item]

Paulheim, Heiko ; Probst, Florian
Dix, Alan ; Hussein, Tim ; Lukosch, Stephan ; Ziegler, Juergen (eds.) (2010):
Improving UI Integration with Formal Semantics.
In: Proceedings of the Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS),
[Conference or Workshop Item]

Probst, Florian ; Paulheim, Heiko ; Brucker, Achim ; Schulte, Stefan (2010):
SoKNOS -- Informationsdienste für das Katastrophenmanagement.
In: VDE Kongress 2010 - E-Mobility (CD ROM),
VDE Verlag, [Conference or Workshop Item]

Park, Sang-Hyeun ; Weizsäcker, Lorenz ; Fürnkranz, Johannes (2010):
Exploiting Code-Redundancies in ECOC for Reducing its Training Complexity using Incremental and SVM Learners.
[Report]

Paulsen, Philip ; Fürnkranz, Johannes (2010):
A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths.
[Report]

Paulheim, Heiko
Calvary, Gaëlle ; Graham, T. C. Nicholas ; Gray, Philip (eds.) (2009):
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, pp. 23-28,
ACM, [Conference or Workshop Item]

Paulheim, Heiko ; Döweling, Sebastian ; Tso-Sutter, Karen H. L. ; Probst, Florian ; Ziegert, Thomas
Fischer, Stefan ; Maehle, Erik ; Reischuk, Rüdiger (eds.) (2009):
Improving Usability of Integrated Emergency Response Systems: The SoKNOS Approach.
154, 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, pp. 1435-1349,
GI, [Conference or Workshop Item]

Paulheim, Heiko
Bernstein, Abraham ; Karger, David R. ; Heath, Tom ; Feigenbaum, Lee ; Maynard, Diana ; Motta, Enrico ; Thirunarayan, Krishnaprasad (eds.) (2009):
Ontologies for User Interface Integration.
5823, In: The Semantic Web - ISWC 2009, 8th International Semantic Web Conference, ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Proceedings, pp. 973-981,
Springer, ISBN 978-3-642-04929-3,
[Conference or Workshop Item]

Park, Sang-Hyeun ; Fürnkranz, Johannes
Buntine, Wray L. ; Grobelnik, Marko ; Mladenić, Dunja ; Shawe-Taylor, John (eds.) (2009):
Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification.
Part I, In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-09), pp. 189-204,
Springer-Verlag, [Conference or Workshop Item]

Paulheim, Heiko ; Probst, Florian
Tudorache, Tania ; Alani, Harith ; Corcho, Oscar (eds.) (2009):
A Framework for Ontologies-based User Interface Integration.
In: ISWC 2009 - Posters and Demos,
[Conference or Workshop Item]

Paulsen, Philip (2009):
Lernen unterschiedlich starker Bewertungsfunktionen aus Schach-Spielprotokollen.
TU Darmstadt, [Master Thesis]

Pfeifer, Andreas (2009):
Creating Adaptive Game AI in a Real-time Continuous Environment using Hierarchical Neural Networks.
TU Darmstadt, [Master Thesis]

Park, Sang-Hyeun ; Fürnkranz, Johannes (2009):
Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification.
[Report]

Park, Sang-Hyeun ; Fürnkranz, Johannes (2008):
Multi-Label Classification with Label Constraints.
[Report]

Pochmann, Stefan (2008):
Analyzing Human Solving Methods for Rubik's Cube and Similar Puzzles.
TU Darmstadt, [Master Thesis]

Paulheim, Heiko (2008):
Skalierbarkeit von Ontology-Matching-Verfahren.
TU Darmstadt, [Master Thesis]

Pfau, Jens (2008):
Plans as a Means for Guiding a Reinforcement Learner.
TU Darmstadt, [Master Thesis]

Paulheim, Heiko
Shvaiko, Pavel ; Euzenat, Jérôme ; Giunchiglia, Fausto ; Stuckenschmidt, Heiner (eds.) (2008):
On Applying Matching Tools to Large-scale Ontologies.
431, 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, [Conference or Workshop Item]

Park, Sang-Hyeun ; Fürnkranz, Johannes
Hüllermeier, Eyke ; Fürnkranz, Johannes (eds.) (2008):
Multi-Label Classification with Label Constraints.
In: Proceedings of the ECML/PKDD-08 Workshop on Preference Learning (PL-08), pp. 157-171,
[Conference or Workshop Item]

Park, Sang-Hyeun ; Fürnkranz, Johannes
Kok, J. N. ; Koronacki, J. ; López de Mántaras, Ramon ; Matwin, S. ; Mladenić, Dunja ; Skowron, A. (eds.) (2007):
Efficient Pairwise Classification.
In: Proceedings of 18th European Conference on Machine Learning (ECML-07), pp. 658-665,
Springer-Verlag, [Conference or Workshop Item]

Park, Sang-Hyeun ; Fürnkranz, Johannes (2007):
Efficient Pairwise Classification and Ranking.
[Report]

Park, Sang-Hyeun (2006):
Effizientes Ranking von paarweisen Vergleichen.
TU Darmstadt, [Master Thesis]

Pfahringer, Bernhard ; Kaindl, Hermann ; Kramer, Stefan ; Fürnkranz, Johannes
Fürnkranz, Johannes ; Kubat, M. (eds.) (1999):
Learning to Make Good Use of Operational Advice.
In: Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing,
[Conference or Workshop Item]

Pfahringer, Bernhard ; Fürnkranz, Johannes (1997):
Summary of the Workshop on ILP for KDD.
In: ILP Newsletter, 4 (1), [Article]

Pfahringer, Bernhard ; Fürnkranz, Johannes (1997):
Summary of the Workshop on {ILP} for {KDD}.
In: ILP Newsletter, 4 (1), [Article]

Pfahringer, Bernhard ; Fürnkranz, Johannes (1996):
Summary of the Workshop on ILP for KDD.
In: MLnet News, 4 (2), p. 16. [Article]

Pfahringer, Bernhard ; Fürnkranz, Johannes (1996):
Summary of the Workshop on {ILP} for {KDD}.
In: MLnet News, 4 (2), p. 16. [Article]

Petrak, Johann ; Trappl, Robert ; Fürnkranz, Johannes (1994):
The Potential Contribution of AI to the Avoidance of Crises and Wars: Using CBR Methods with the KOSIMO Database of Conflicts.
[Report]

R

Rapp, Michael ; Kulessa, Moritz ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2022):
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. (Publisher's Version)
In: Frontiers in Big Data, 4, Frontiers Media, e-ISSN 2624-909X,
DOI: 10.26083/tuprints-00020807,
[Article]

Rapp, Michael (2022):
Multi-label Rule Learning. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00022099,
[Ph.D. Thesis]

Rapp, Michael ; Loza Mencía, Eneldo ; Fürnkranz, Johannes
Kralj Novak, Petra ; Šmuc, Tomislav ; Džeroski, Sašo (eds.) (2019):
On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics.
pp. 96-111, DS'19 - 22nd International Conference on Discovery Science, Split, Croatia, October 28.–30., 2019, ISBN 978-3-030-33778-0,
DOI: 10.1007/978-3-030-33778-0_9,
[Conference or Workshop Item]

Ristoski, Petar ; Loza Mencía, Eneldo ; Paulheim, Heiko (2014):
A Hybrid Multi-Strategy Recommender System Using Linked Open Data.
In: Communications in Computer and Information Science, 475, In: Semantic Web Evaluation Challenge, Proceedings (ESWC 2014), pp. 150-156, Springer, ISBN 978-3-319-12023-2,
[Book Section]

Ried, Martin (2011):
Strukturelle Eigenschaften des Verbindungsgraphen in der Churn-Analyse.
TU Darmstadt, [Master Thesis]

Reuter, Christian (2009):
Implementierung und Testen eines relationalen Lern-Algorithmus.
TU Darmstadt, [Master Thesis]

Rapp, Bernhard (2008):
Verteilte Adaptionsplanung.
TU Darmstadt, [Master Thesis]

Rebstock, Michael ; Fengel, Janina ; Paulheim, Heiko (2008):
Ontologies-Based Business Integration.
Springer, [Book]

Ruppert, Marc (2006):
Vergleich von AQ, CN2 und CN2 mit Weighted Covering.
TU Darmstadt, [Master Thesis]

S

Sulzmann, Jan-Nikolas (2019):
Rule Learning: From Local Patterns to Global Models.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Schulz, Axel ; Janssen, Frederik ; Ristoski, Petar ; Fürnkranz, Johannes (2015):
Event-Based Clustering for Reducing Labeling Costs of Event-Related Microposts.
pp. 686-690, AAAI Press, Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM2015), [Conference or Workshop Item]

Schulz, Axel ; Karolus, Jakob ; Janssen, Frederik ; Schweizer, Immanuel (2015):
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), pp. 121-128,
Piscataway, NJ, IEEE, International Conference and Workshops on Networked Systems (NetSys), Cottbus, 9-12 March 2015, ISBN 978-1-4799-5804-7,
DOI: 10.1109/NetSys.2015.7089079,
[Conference or Workshop Item]

Schulz, Axel ; Ristoski, Petar ; Fürnkranz, Johannes ; Janssen, Frederik (2015):
Event-Based Clustering for Reducing Labeling Costs of Incident-Related Microposts.
pp. 44-52, CEUR workshop proceedings, Proceedings of the 2nd International Workshop on Mining Urban Data co-located with the 32nd International Conference on Machine Learning, July, 11th, ISSN 1613-0073,
[Conference or Workshop Item]

Stecher, Julius ; Janssen, Frederik ; Fürnkranz, Johannes
Calders, Toon ; Esposito, Floriana ; Hüllermeier, Eyke ; Meo, Rosa (eds.) (2014):
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning.
In: Lecture Notes in Computer Science, 8726, pp. 114-129, Nancy, France, Springer, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 3, Nancy, France, ISBN 978-3-662-44844-1,
[Conference or Workshop Item]

Schulz, Axel ; Loza Mencía, Eneldo ; Dang, Thanh Tung ; Schmidt, Benedikt (2014):
Evaluating Multi-label Classification of Incident-related Tweets.
pp. 26-33, Proceedings, 4th Workshop on Making Sense of Microposts (#Microposts2014) at WWW: Big things come in small packages, [Conference or Workshop Item]

Schulz, Axel (2014):
Mining User-Generated Content for Incidents.
TU Darmstadt,
[Ph.D. Thesis]

Schulz, Axel ; Janssen, Frederik (2014):
What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction.
pp. 53-67, Proceedings of the Fifth Workshop on Semantics for Smarter Cities (a Workshop at the 13th International Semantic Web Conference (ISWC 2014)), [Conference or Workshop Item]

Schulz, Axel ; Thanh, Tung Dang ; Paulheim, Heiko ; Schweizer, Immanuel (2013):
A Fine-Grained Sentiment Analysis Approach for Detecting Crisis Related Microposts.
In: Komplexe Notsituationen schnell meistern - Die ISCRAM Konferenz 2013 zum Krisenmangement, pp. 846-851,
KIT-Bibliothek Süd, [Conference or Workshop Item]

Schulz, Axel ; Janssen, Frederik ; Karolus, Jakob ; Schweizer, Immanuel (2013):
Creating Noise Pollution Maps Based on User-generated Noise Data.
[Conference or Workshop Item]

Schulz, Axel ; Hadjakos, Aristotelis ; Paulheim, Heiko ; Nachtwey, Johannes ; Mühlhäuser, Max (2013):
A Multi-Indicator Approach for Geolocalization of Tweets.
In: Proceedings of the Eight International Conference on Weblogs and Social Media (ICWSM), pp. 573-582,
AAAI Press, ISBN 978-1-57735-610-3,
[Conference or Workshop Item]

Schulz, Axel ; Ristoski, Petar ; Paulheim, Heiko
Cimiano, Philipp ; Fernández, Miriam ; Lopez, Vanessa ; Schlobach, Stefan ; Völker, Johanna (eds.) (2013):
I See a Car Crash: Real-time Detection of Small Scale Incidents in Microblogs.
In: Lecture Notes in Computer Science, In: The Semantic Web: ESWC 2013 Satellite Events, pp. 22-33, Springer Berlin Heidelberg, ISBN 978-3-642-41241-7,
[Book Section]

Schulz, Axel ; Ristoski, Petar (2013):
The Car That Hit The Burning House: Understanding Small Scale Incident Related Information in Microblogs.
In: Proceedings of the 2nd When the City Meets the Citizen Workshop (WCMCW) at ICWSM'13, [Article]

Schulz, Axel ; Paulheim, Heiko ; Probst, Florian (2012):
Crisis Information Management in the Web 3.0 Age.
9th International Conference on Information Systems for Crisis Response and Management (ISCRAM), [Conference or Workshop Item]

Schulz, Axel ; Paulheim, Heiko (2012):
Combining Government and Linked Open Data in Emergency Management.
AI Mashup Challenge, [Conference or Workshop Item]

Seeliger, Alexander ; Paulheim, Heiko (2012):
A Semantic Browser for Linked Open Data.
Semantic Web Challenge, [Conference or Workshop Item]

Schaede, Jörg (2010):
Learning Strechted Rules.
TU Darmstadt, [Master Thesis]

Schwaiger, Kai (2010):
Prozessoptimierung und Qualitätssicherung in der Datenaufbereitung von Fahrgastinformationssystemen.
TU Darmstadt, [Master Thesis]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes (2010):
Probability Estimation and Aggregation for Rule Learning.
[Report]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes (2010):
Rule Stacking: An approach for compressing an ensemble of rule sets into a single classifier.
[Report]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes
Gama, João ; Santos Costa, Vítor ; Jorge, A. ; Brazdil, Pavel B. (eds.) (2009):
An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules.
In: Proceedings of the 12th International Conference on Discovery Science (DS-09), pp. 317-331,
Springer-Verlag, [Conference or Workshop Item]

Schweizer, Immanuel ; Panitzek, Kamill ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Mertsching, Bärbel ; Hund, Marcus ; Zaheer Aziz, Muhammad (eds.) (2009):
An Exploitative Monte-Carlo Poker Agent.
In: Proceedings of the 32nd Annual German Conference on Artificial Intelligence (KI-09), pp. 65-72,
Springer-Verlag, [Conference or Workshop Item]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes
Knobbe, Arno J. ; Fürnkranz, Johannes (eds.) (2009):
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), pp. 123-138,
[Conference or Workshop Item]

Schweizer, Immanuel ; Panitzek, Kamill ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Benz, Dominik ; Janssen, Frederik (eds.) (2009):
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), pp. 100-104,
[Conference or Workshop Item]

Schmittat, Patrik (2009):
Ein Vergleich händischer und automatisch erzeugter Intelligenz im Bereich des künstlichen Lebens.
TU Darmstadt, [Master Thesis]

Schweizer, Immanuel ; Panitzek, Kamill ; Park, Sang-Hyeun ; Fürnkranz, Johannes (2009):
An Exploitative Monte-Carlo Poker Agent.
[Report]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes (2008):
An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model.
[Report]

Sack, Konstantin (2008):
Datenkonsolidierung in der polizeilichen Kriminalstatistik.
TU Darmstadt, [Master Thesis]

Sima, Jan Frederik (2008):
Paarweise Hierarchische Klassifikation.
TU Darmstadt, [Master Thesis]

Skrinjar, Alexander (2008):
Entwurf und Implementierung einer Multi-Agentensimulation zur Steuerung virtueller Charaktere.
TU Darmstadt, [Master Thesis]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes
Knobbe, Arno J. (ed.) (2008):
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), pp. 154-168,
[Conference or Workshop Item]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes (2008):
A Comparison of Techniques for Selecting and Combining Class Association Rules.
In: Proceedings of the LWA 2008: Lernen -- Wissen -- Adaption,
[Conference or Workshop Item]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes
Fürnkranz, Johannes ; Knobbe, Arno (eds.) (2008):
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), pp. 154--168,
[Conference or Workshop Item]

Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes ; Hüllermeier, Eyke
Kok, J. N. ; Koronacki, J. ; López de Mántaras, Ramon ; Matwin, S. ; Mladenić, Dunja ; Skowron, A. (eds.) (2007):
On Pairwise Naive Bayes Classifiers.
In: Proceedings of 18th European Conference on Machine Learning (ECML-07), pp. 371-381,
Springer-Verlag, [Conference or Workshop Item]

Seifermann, Stefan (2007):
Vergleich von Methoden zur Hypertext-Klassifizierung.
TU Darmstadt, [Master Thesis]

Siegler, Simon (2007):
Design und Implementierung einer Entwicklungsumgebung für Regel-Lerner.
TU Darmstadt, [Master Thesis]

Stegbauer, Michael (2007):
Zitationsanalyse für das Gebiet "Lernen in Spielen".
TU Darmstadt, [Master Thesis]

Seufert, Christian (2006):
Analyse der Koautorenschaft zur Konsolidierung ambiger Autorennamen - Überblick und Berwertung eines neuen Verfahrens.
TU Darmstadt, [Master Thesis]

Stöhr, Christian (2006):
Einsatz von Planungssystemen im E-Learning zur automatischen Generierung von Hilfen und Verifikationen.
TU Darmstadt, [Master Thesis]

Sulzmann, Jan-Nikolas (2006):
Paarweiser Naive Bayes Klassifizierer.
TU Darmstadt, [Master Thesis]

Sulzmann, Jan-Nikolas
Althoff, K.-D. ; Schaaf, M. (eds.) (2006):
Pairwise Naive Bayes Classifier.
In: Proceedings of the LWA 2006, Lernen Wissensentdeckung Adaptivität, pp. 356--363,
Gesellschaft für Informatik e. V. (GI), [Conference or Workshop Item]

Steinmann, Frank (2005):
Methoden zur Feature Subset Selection für Unsupervised Learning - Überblick und ein neuer Ansatz.
TU Darmstadt, [Master Thesis]

Savicky, Petr ; Fürnkranz, Johannes (2003):
Combining Pairwise Classifiers with Stacking.
In: Advances in Intelligent Data Analysis: Proceedings of the 5th International Symposium (IDA-03), pp. 219-229,
Springer-Verlag, [Conference or Workshop Item]

Seewald, Alexander K. ; Fürnkranz, Johannes (2001):
Grading Classifiers.
[Report]

Seewald, Alexander K. ; Fürnkranz, Johannes
Hoffmann, F. ; Hand, David J. ; Adams, N. ; Fisher, D. ; Guimaraes, G. (eds.) (2001):
An Evaluation of Grading Classifiers.
In: Advances in Intelligent Data Analysis: Proceedings of the 4th International Conference (IDA-01), pp. 115-124,
Springer-Verlag, [Conference or Workshop Item]

T

Tavakol, Maryam (2019):
Contextual Models for Sequential Recommendation.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Thoma, Nils (2018):
Learning to Detect Personal Information in German Text Documents.
Darmstadt, Technische Universität, [Bachelor Thesis]

Tsoumakas, Grigorios ; Loza Mencía, Eneldo ; Katakis, Ioannis ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Hüllermeier, Eyke ; Fürnkranz, Johannes (eds.) (2009):
On the Combination of Two Decompositive Multi-Label Classification Methods.
In: Proceedings of the ECML/PKDD-09 Workshop on Preference Learning (PL-09), pp. 114-129,
[Conference or Workshop Item]

Toshev, Yasen (2007):
Design & Implementation of a Framework for Constructing Task Specific Views on Knowledge Bases.
TU Darmstadt, [Master Thesis]

Thiel, Matthias (2005):
Separate and Conquer Framework und disjunktive Regeln.
TU Darmstadt, [Master Thesis]

Trappl, Robert ; Fürnkranz, Johannes ; Petrak, Johann ; Bercovitch, Jacob
Della Riccia, G. ; Lenz, Hans-Joachim ; Kruse, R. (eds.) (1997):
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, pp. 209-225,
Springer-Verlag, [Conference or Workshop Item]

Trappl, Robert ; Fürnkranz, Johannes ; Petrak, Johann ; Bercovitch, Jacob (1997):
Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them.
[Report]

Trappl, Robert ; Fürnkranz, Johannes ; Petrak, Johann ; Bercovitch, Jacob
Della Riccia, G. ; Lenz, H.-J. ; Kruse, R. (eds.) (1997):
Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them.
In: CISM International Centre for Mechanical Sciences. Courses and Lectures, In: Learning, Networks and Statistics: Proceedings of the ISSEK-96 Workshop, pp. 209--225,
Springer-Verlag, [Conference or Workshop Item]

Trappl, Robert ; Fürnkranz, Johannes ; Petrak, Johann
Wahlster, W. (ed.) (1996):
Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases.
In: Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), pp. 453-457,
John Wiley, [Conference or Workshop Item]

Trappl, Robert ; Petrak, Johann ; Fürnkranz, Johannes (1994):
The Potential Contribution of AI to the Avoidance of Crises and Wars: Bibliography.
In: Austrian Research Institute for Artificial Intelligence, TR-94-32, Wien, [Report]

U

Utard, Hervé ; Fürnkranz, Johannes
Berendt, B. ; Grobelnik, M. ; Hotho, A. ; Mladenić, Dunja ; Semeraro, G. ; Someren, M. van ; Spiliopoulou, M. ; Stumme, G. ; Svatek, V. (eds.) (2006):
Link-local Features for Hypertext Classification.
In: Semantics, Web and Mining, pp. 51-64, Springer-Verlag, [Book Section]

Utard, Hervé ; Fürnkranz, Johannes
Berendt, B. ; Grobelnik, M. ; Hotho, A. ; Mladenić, Dunja ; Semeraro, G. ; Spiliopoulou, M. ; Stumme, G. ; Someren, M. van (eds.) (2005):
Link-local Features for Hypertext Classification.
In: Proceedings of the European Web Mining Forum (EWMF-05): Workshop at ECML/PKDD-05, pp. 40-51,
[Conference or Workshop Item]

Utard, Hervé (2005):
Hypertext Classification.
TU Darmstadt, [Master Thesis]

V

Vormwald, Nikos (2009):
Implementierung eines Information Retrieval Systems auf Basis semi-strukturierter Web Daten.
TU Darmstadt, [Master Thesis]

Vonderheidt, Manfred (2007):
Entwicklung einer lernfähigen Bietfunktion für einen intelligenten Spades-Spieler.
TU Darmstadt, [Master Thesis]

W

Wirth, Christian (2017):
Efficient Preference-based Reinforcement Learning.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Wirth, Christian ; Fürnkranz, Johannes (2015):
On Learning from Game Annotations.
In: IEEE Transactions on Computational Intelligence and AI in Games, 7 (3), pp. 304-316. [Article]

Wirth, Christian ; Fürnkranz, Johannes
Seidl, Thomas ; Hassani, Marwan ; Beecks, Christian (eds.) (2014):
Preference Learning from Annotated Game Databases.
In: CEUR Workshop Proceedings, 1226, pp. 57-68, Aachen, Germany, CEUR-WS.org, Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, [Conference or Workshop Item]

Wirth, Christian ; Fürnkranz, Johannes
Tucker, Allan ; Höppner, Frank ; Siebes, Arno ; Swift, Stephen (eds.) (2013):
A Policy Iteration Algorithm for Learning from Preference-based Feedback.
In: LNCS, 8207, Springer-Verlag, Advances in Intelligent Data Analysis XII: 12th International Symposium (IDA-13), [Conference or Workshop Item]

Wirth, Christian ; Fürnkranz, Johannes (2013):
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning.
In: JMLR Proceedings, 29, pp. 483-497, JMLR.org, Proceedings of the 5th Asian Conference on Machine Learning, (ACML-13), [Conference or Workshop Item]

Wirth, Christian ; Fürnkranz, Johannes (2013):
Preference-Based Reinforcement Learning: A Preliminary Survey.
Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning from Generalized Feedback: Beyond Numeric Rewards, [Conference or Workshop Item]

Wirth, Christian ; Fürnkranz, Johannes (2013):
Learning from Trajectory-Based Action Preferences.
Proceedings of the ICRA 2013 Workshop on Autonomous Learning, [Conference or Workshop Item]

Weizsäcker, Lorenz ; Fürnkranz, Johannes (2012):
Multidimensional Ordered Mappings for Empirical Machine Learning Research.
[Conference or Workshop Item]

Weizsäcker, Lorenz ; Fürnkranz, Johannes (2012):
Basic Instrument for Experimental Probes in Machine Learning.
[Report]

Wirth, Christian ; Fürnkranz, Johannes (2012):
First Steps Towards Learning from Game Annotations.
pp. 53-58, Workshop Proceedings - Preference Learning: Problems and Applications in AI at ECAI 2012, [Conference or Workshop Item]

Wohlrab, Lars ; Fürnkranz, Johannes (2011):
A Review and Comparison of Strategies for Handling Missing Values in Separate-and-Conquer Rule Learning.
In: Journal of Intelligent Information Systems, 36 (1), pp. 73-98. [Article]

Wissenbach, Moritz (2010):
Object Feature Coding: A Decomposition Framework Unifying Object and Label Ranking.
TU Darmstadt, [Master Thesis]

Wirth, Christian (2010):
Determining Move Effects Without Explicit State Construction - Construction and Implementation of a GGP Agent.
TU Darmstadt, [Master Thesis]

Weizsäcker, Lorenz (2010):
Persistent Name Spaces for Uniform Experiments.
[Report]

Weizsäcker, Lorenz ; Fürnkranz, Johannes
Mandl, Thomas ; Frommholz, Ingo (eds.) (2009):
On Table Extraction from Text Sources with Markups.
In: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Information Retrieval (WIR-09), pp. 1-8,
[Conference or Workshop Item]

Wieczorek, Marian (2009):
UCT Simulation in Go.
TU Darmstadt, [Master Thesis]

Wohlrab, Lars (2009):
A Generic Framework for the Automated Creation of Data-Driven Hydrological Forecasting Models.
TU Darmstadt, [Master Thesis]

Wohlrab, Lars (2009):
Vergleich verschiedener Methoden zur Behandlung fehlender Attributwerte im SeCo-Regellerner.
TU Darmstadt, [Master Thesis]

Wohlrab, Lars ; Fürnkranz, Johannes (2009):
A Comparison of Strategies for Handling Missing Values in Rule Learning.
[Report]

Weizsäcker, Lorenz ; Fürnkranz, Johannes (2009):
Margin Driven Separate and Conquer by Working Set Expansion.
[Report]

Weizsäcker, Lorenz ; Fürnkranz, Johannes (2008):
On Table Extraction from Text Sources with Markups.
[Report]

Wächter, Michael (2008):
Automatische Generierung von Zugpatterns aus Spieldatenbanken für Go.
TU Darmstadt, [Bachelor Thesis]

Wagner, Sven (2008):
Supervised Local Pattern Discovery.
TU Darmstadt, [Master Thesis]

Wanderer, Thomas (2008):
Aufbau einer on-line Datenbank für Machine Learning Datenbanken.
TU Darmstadt, [Master Thesis]

Werling, Benedict (2008):
Vergleich von Pruning-Algorithmen für Regel-Lerner.
TU Darmstadt, [Master Thesis]

Winkler, Markus (2007):
Forecasting the Expected Power Consumption Profile of the Thermal Subsystem of Venus Express.
TU Darmstadt, [Master Thesis]

Werth, Oliver (2005):
Verbesserung der Datenqualität durch Pre-Processing.
TU Darmstadt, [Master Thesis]

Wolf, Michael (2005):
An Intelligent Artificial Player for the Game of Risk.
TU Darmstadt, [Master Thesis]

Winkler, Franz-Günter ; Fürnkranz, Johannes (1998):
A Hypothesis on the Divergence of AI Research.
In: International Computer Chess Association Journal, 21 (1), pp. 3-13. [Article]

Winkler, Franz-Günter ; Fürnkranz, Johannes (1998):
A Hypothesis on the Divergence of {AI} Research.
In: International Computer Chess Association Journal, 21 (1), pp. 3--13. [Article]

Winkler, Franz-Günter ; Fürnkranz, Johannes
Morris, Robert (ed.) (1997):
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, pp. 56-62,
AAAI Press, [Conference or Workshop Item]

Winkler, Franz-Günter ; Fürnkranz, Johannes (1997):
On Effort in AI Research: A Description Along Two Dimensions.
[Report]

Winkler, Franz-Günter ; Fürnkranz, Johannes
Morris, Robert (ed.) (1997):
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, pp. 56--62,
AAAI Press, [Conference or Workshop Item]

Y

Yurukov, Boyan (2009):
Specialization of a General Ontology Engineering Platform for Semantic Information Integration.
TU Darmstadt, [Master Thesis]

Ying, Jun (2006):
Analysis and Comparison of Existent Information Extraction Methods.
TU Darmstadt, [Master Thesis]

Z

Zhao, Wei ; Glavaš, Goran ; Peyrard, Maxime ; Gao, Yang ; West, Robert ; Eger, Steffen (2020):
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation.
ACL'20: 58th Annual Meeting of the Association for Computational Linguistics, virtual Conference, 05.-10.07, [Conference or Workshop Item]

Zhao, Wei ; Gao, Yang ; Eger, Steffen (2019):
Evaluating Machine Translation without Human References Using Cross-lingual Encoders.
The first annual EurNLP summit, Facebook London, London, United Kingdom, 11.10.2019, [Conference or Workshop Item]

Zopf, Markus (2019):
Towards Context-free Information Importance Estimation.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Zhao, Wei ; Peng, Haiyun ; Eger, Steffen ; Cambria, Eric ; Yang, Min (2019):
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications.
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics,
Florence, Italy, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, Jul 28, 2019 - Aug 2, 2019, [Conference or Workshop Item]

Zopf, Markus ; Peyrard, Maxime ; Eckle-Kohler, Judith (2016):
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, pp. 1535-1545,
The COLING 2016 Organizing Committee, Osaka, Japan, [Conference or Workshop Item]

Zopf, Markus ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2016):
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization.
In: Proceedings of the 26th International Conference on Computational Linguistics, pp. 1071-1082,
Osaka, Japan, [Conference or Workshop Item]

Zopf, Markus ; Loza Mencía, Eneldo ; Fürnkranz, Johannes (2016):
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.
In: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016), pp. 84-94,
Association for Computational Linguistics, Berlin, Germany, [Conference or Workshop Item]

Zopf, Markus (2015):
SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time.
In: Proceedings of the 24th Text Retrieval Conference,
National Institute of Standards and Technology, Gaithersburg, Maryland, USA, [Conference or Workshop Item]

Zopf, Markus (2015):
A Comparison Between the Usage of Flat and Structured Game Trees for Move Evaluation in Hearthstone.
Darmstadt, TU Darmstadt, [Master Thesis]

Zopf, Markus (2010):
Ein Framework zur Entwicklung und Evaluation intelligenter Pokeragenten.
TU Darmstadt, [Master Thesis]

Zheng, Lu (2008):
Konstruktion eines Web-Portals für Gehörlose.
TU Darmstadt, [Master Thesis]

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