Anzahl der Publikationen auf dieser Ebene: 214
14948
14941
Vahidi, Amihossein; Wimmer, Lisa; Gündüz, Hüseyin Anil; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Rezaei, Mina
(September 2024):
Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Lithuania, 9. - 13. September 2024.
In: Machine Learning and Knowledge Discovery in Databases Part I, LNCS
Bd. 14941
Springer Cham. S. 38-55
[PDF, 904kB]
14845
13633
13562
13113
Feldhans, Robert; Wilke, Adrian; Heindorf, Stefan; Shaker, Mohammad Hossein; Hammer, Barbara; Ngonga Ngomo, Axel-Cyrille und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2021):
Drift Detection in Text Data with Document Embeddings.
Intelligent Data Engineering and Automated Learning – IDEAL 2021, Manchester, United Kingdom, November 25-27, 2021.
In: Intelligent Data Engineering and Automated Learning – IDEAL 2021,
Bd. 13113
Cham: Springer. S. 107-118
12986
Damke, Clemens ORCID: https://orcid.org/0000-0002-0455-0048 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(11. Oktober 2021):
Ranking Structured Objects with Graph Neural Networks.
24th International Conference on Discovery Science (DS 2021), Halifax, NS, Canada, Virtual, October 11–13, 2021.
Soares, Carlos und Torgo, Luis (Hrsg.):
In: Proceedings of the 24th International Conference on Discovery Science, Lecture Notes in Computer Science
Bd. 12986
Cham: Springer. S. 166-180
[PDF, 649kB]
12977
Rapp, Michael ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2021):
Gradient-Based Label Binning in Multi-label Classification.
Machine Learning and Knowledge Discovery in Databases, Bilbao, Spain, September 13–17, 2021.
In: Machine Learning and Knowledge Discovery in Databases. Research Track,
Bd. 12977
Cham: Springer. S. 462-477
[PDF, 471kB]
12712
Hanselle, Jonas; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Mai 2021):
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.
In: Karlapalem, Kamal; Cheng, Hong; Ramakrishnan, Naren; Agrawal, R. K.; Krishna Reddy, P.; Srivastava, Jaideep und Chakraborty, Tanmoy (Hrsg.): (2021):
Advances in Knowledge Discovery and Data Mining 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I. Lecture Notes in Computer Science, Bd. 12712. Cham: Springer. S. 152-163
[PDF, 532kB]
12695
Ahmadi Fahandar, Mohsen und Hüllermeier, Eyke
(April 2021):
Analogical Embedding for Analogy-Based Learning to Rank.
Advances in Intelligent Data Analysis XIX. IDA 2021, Porto, Portugal, April 26-28, 2021.
In: Advances in Intelligent Data Analysis XIX,
Bd. 12695
Cham: Springer. S. 76-88
12459
Rapp, Michael ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes; Nguyen, Vu-Linh und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2021):
Learning Gradient Boosted Multi-label Classification Rules.
In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science, Bd. 12459. Cham: Springer. S. 124-140
[PDF, 543kB]
12325
Hanselle, Jonas; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2020):
Hybrid Ranking and Regression for Algorithm Selection.
KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020.
Schmid, Ute; Klügl, Franziska und Wolter, Diedrich (Hrsg.):
In: KI 2020: Advances in Artificial Intelligence, Proceedings, Lecture Notes in Computer Science
Bd. 12325
Cham: Springer. S. 59-72
[PDF, 377kB]
12323
Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Oktober 2020):
Extreme Algorithm Selection with Dyadic Feature Representation.
In: Appice, Annalisa; Tsoumakas, Grigorios; Manolopoulos, Yannis und Matwin, Stan (Hrsg.): (2021):
Discovery Science. 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings. Lecture Notes in Computer Science, Bd. 12323. Cham: Springer. S. 309-324
[PDF, 213kB]
12256
12173
12096
El Mesaoudi-Paul, Adil; Weiß, Dimitri; Bengs, Viktor; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Mai 2020):
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.
In: Kotsireas, Ilias S. und Pardalos, Panos M. (Hrsg.):
Learning and Intelligent Optimization. 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. Lecture Notes in Computer Science, Bd. 12096. Cham: Springer. S. 216-232
12080
Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(April 2020):
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.
In: Berthold, Michael; Feelders, Ad und Krempl, Georg (Hrsg.): (2020):
Advances in Intelligent Data Analysis XVIII. 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Lecture Notes in Computer Science, Bd. 12080. New York, NY: Association for Computing Machinery. S. 561-573
[PDF, 425kB]
11940
11908
Brinker, Klaus und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(April 2020):
A Reduction of Label Ranking to Multiclass Classification.
In:
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III. Lecture Notes in Computer Science, Bd. 11908. Cham: Springer. S. 204-219
11828
Ahmadi Fahandar, Mohsen und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Feature Selection for Analogy-Based Learning to Rank.
In: Kralj Novak, Petra; Šmuc, Tomislav und Džeroski, Sašo (Hrsg.):
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11828. Cham: Springer. S. 279-289
Nguyen, Vu-Linh; Destercke, Sébastien und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Epistemic Uncertainty Sampling.
In: Kralj Novak, Petra; Šmuc, Tomislav und Džeroski, Sašo (Hrsg.):
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11828. S. 72-86
11793
Ahmadi Fahandar, Mohsen und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Analogy-Based Preference Learning with Kernels.
In: Benzmüller, Christoph und Stuckenschmidt, Heiner (Hrsg.):
KI 2019: Advances in Artificial Intelligence. 42nd German Conference on AI, Kassel, Germany, September 23–26, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11793. Cham: Springer. S. 34-47
11198
Schäfer, Dirk und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Preference-Based Reinforcement Learning Using Dyad Ranking.
In: Soldatova, Larisa; Vanschoren, Joaquin; Papadopoulos, George und Ceci, Michelangelo (Hrsg.):
Discovery Science. Discovery Science 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Lecture Notes in Computer Science, Bd. 11198. Cham: Springer. S. 161-175
11191
Mohr, Felix; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Reduction Stumps for Multi-class Classification.
In: Duivesteijn, Wouter; Siebes, Arno und Ukkonen, Antti (Hrsg.): (2020):
Advances in Intelligent Data Analysis XVII. 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. Lecture Notes in Computer Science, Bd. 11191. Cham: Springer. S. 225-237
10564
Couso, Inés; Dubois, Didier und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Maximum Likelihood Estimation and Coarse Data.
In: Moral, Serafín; Pivert, Olivier; Sánchez, Daniel und Marín, Nicolás (Hrsg.):
Scalable Uncertainty Management. 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science, Bd. 10564. Cham: Springer. S. 3-16
10535
Shaker, Ammar; Heldt, Waleri und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Learning TSK Fuzzy Rules from Data Streams.
In: Ceci, Michelangelo; Hollmén, Jaakko; Džeroski, Sašo; Todorovsk, Ljupčo; Vens, Celine und Džeroski, Sašo (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 10535. S. 559-574
[PDF, 351kB]
10505
Mohr, Felix; Lettmann, Theo und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Planning with Independent Task Networks.
In: Kern-Isberner, Gabriele; Fürnkranz, Johannes und Thimm, Matthias (Hrsg.):
KI 2017: Advances in Artificial Intelligence. 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings. Lecture Notes in Computer Science, Bd. 10505. Cham: Springer. S. 193-206
9969
9852
Dembczyński, Krzysztof; Kotłowski, Wojciech; Waegeman, Willem; Busa-Fekete, Róbert und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Consistency of Probabilistic Classifier Trees.
In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe und Vreeken, Jilles (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 9852. Cham: Springer. S. 511-526
[PDF, 322kB]
9343
Abdel-Aziz, Amira und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Case Base Maintenance in Preference-Based CBR.
In: Hüllermeier, Eyke und Minor, Mirjam (Hrsg.):
Case-Based Reasoning Research and Development. 23rd International Conference, ICCBR 2015, Frankfurt am Main, Germany, September 28-30, 2015. Proceedings. Lecture Notes in Computer Science, Bd. 9343. Cham: Springer. S. 1-14
9285
Henzgen, Sascha und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations.
In:
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 9285. S. 422-437
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Cheng, Weiwei
(2015):
Superset Learning Based on Generalized Loss Minimization.
In:
Machine Learning and Knowledge Discovery in Databases.European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 9285. Cham: Springer. S. 260-275
Schäfer, Dirk und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Dyad Ranking Using A Bilinear Plackett-Luce Model.
In: Appice, Annalisa; Pereira Rodrigues, Pedro; Santos Costa, Vítor; Gama, João; Jorge, Alípio und Soares, Carlos (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 9285. Cham: Springer. S. 227-242
8777
Henzgen, Sascha und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Mining Rank Data.
In: Džeroski, Sašo; Panov, Panče; Kocev, Dragi und Todorovski, Ljupčo (Hrsg.):
Discovery Science. 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science, Bd. 8777. Cham: Springer. S. 123-134
8776
Busa-Fekete, Róbert und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
A Survey of Preference-Based Online Learning with Bandit Algorithms.
In: Auer, Peter; Clark, Alexander; Zeugmann, Thomas und Zilles, Sandra (Hrsg.):
Algorithmic Learning Theory. 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science, Bd. 8776. Cham: Springer. S. 18-39
8765
Abdel-Aziz, Amira; Strickert, Marc und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Learning Solution Similarity in Preference-Based CBR.
In: Lamontagne, Luc und Plaza, Enric (Hrsg.):
Case-Based Reasoning Research and Development. 22nd International Conference, ICCBR 2014, Cork, Ireland, September 29, 2014 - October 1, 2014. Proceedings. Lecture Notes in Computer Science, Bd. 8765. Cham: Springer. S. 17-31
8724
Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Meo, Rosa (Hrsg.)
(2014):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I.
Lecture Notes in Computer Science, Bd. 8724. Berlin, Heidelberg: Springer.
7524
Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
Probability Estimation for Multi-class Classification Based on Label Ranking.
In: Flach, Peter A.; Bie, Tijl De und Cristianini, Nello (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II. Lecture Notes in Computer Science, Bd. 7524. Berlin, Heidelberg: Springer. S. 83-98
6926
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Fürnkranz, Johannes
(2011):
Learning from Label Preferences.
In: Elomaa, Tapio; Hollmén, Jaakko und Mannila, Heikki (Hrsg.):
Discovery Science. 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science, Bd. 6926. S. 2-17
6911
Cheng, Weiwei; Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Park, Sang-Hyeun
(2011):
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.
In: Gunopulos, Dimitrios; Hofmann, Thomas; Malerba, Donato und Vazirgiannis, Michalis (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I. Lecture Notes in Computer Science, Bd. 6911. Berlin, Heidelberg: Springer. S. 312-327
6880
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Schlegel, Patrice
(September 2011):
Preference-Based CBR: First Steps toward a Methodological Framework.
In: Ram, Ashwin und Wiratunga, Nirmalie (Hrsg.):
Case-Based Reasoning Research and Development. 19th International Conference on Case-Based Reasoning, ICCBR 2011, London, UK, September 12-15, 2011. Proceedings. Lecture Notes in Computer Science, Bd. 6880. Berlin, Heidelberg: Springer. S. 77-91
6379
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2010):
Uncertainty in Clustering and Classification.
In: Deshpande, Amol und Hunter, Anthony (Hrsg.):
Scalable Uncertainty Management.4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings. Lecture Notes in Computer Science, Bd. 6379. Berlin, Heidelberg: Springer. S. 16-19
6321
Cheng, Weiwei; Rademaker, Michaël; De Baets, Bernard und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2010):
Predicting Partial Orders: Ranking with Abstention.
In: Balcázar, José Luis; Bonchi, Francesco; Gionis, Aristides und Sebag, Michèle (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science, Bd. 6321. Berlin, Heidelberg: Springer. S. 215-230
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2010):
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.
In: Balcázar, José Luis; Bonchi, Francesco; Gionis, Aristides und Sebag, Michèle (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science, Bd. 6321. Berlin, Heidelberg: Springer. S. 280-295
5781
Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification.
In: Buntine, Wray; Grobelnik, Marko; Mladenić, Dunja und Shawe-Taylor, John (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I. Lecture Notes in Computer Science, Bd. 5781. Berlin, Heidelberg: Springer. S. 6
Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Vanderlooy, Stijn
(2009):
Binary Decomposition Methods for Multipartite Ranking.
In: Buntine, Wray; Grobelnik, Marko; Mladenić, Dunja und Shawe-Taylor, John (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I. Lecture Notes in Computer Science, Bd. 5781. Berlin, Heidelberg: Springer. S. 359-374
5551
Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
A New Instance-Based Label Ranking Approach Using the Mallows Model.
In: Yu, Wen; He, Haibo und Zhang, Nian (Hrsg.): (2009):
Advances in Neural Networks – ISNN 2009 : 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part I. Lecture Notes in Computer Science, Bd. 5551. Berlin, Heidelberg: Springer. S. 707-716
5239
Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2008):
Learning Similarity Functions from Qualitative Feedback.
In: Althoff, Klaus-Dieter; Bergmann, Ralph; Minor, Mirjam und Hanft, Alexandre (Hrsg.):
Advances in Case-Based Reasoning. 9th European Conference, ECCBR 2008, Trier, Germany, September 1-4, 2008. Proceedings. Lecture Notes in Computer Science, Bd. 5239. Berlin, Heidelberg: Springer. S. 120-134
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Vladimirskiy, Ilya; Prados Suárez, Belén und Stauch, Eva
(2008):
Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.
In: Althoff, Klaus-Dieter; Bergmann, Ralph; Minor, Mirjam und Hanft, Alexandre (Hrsg.):
Advances in Case-Based Reasoning. Lecture Notes in Computer Science. 9th European Conference, ECCBR 2008, Trier, Germany, September 1-4, 2008. Proceedings, Bd. 5239. Berlin, Heidelberg: Springer. S. 240-254
5211
Vanderlooy, Stijn und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2008):
A Critical Analysis of Variants of the AUC.
In: Daelemans, Walter; Goethals, Bart und Morik, Katharina (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I. Lecture Notes in Computer Science, Bd. 5211. Berlin, Heidelberg: Springer. S. 13
4701
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Fürnkranz, Johannes
(2007):
On Minimizing the Position Error in Label Ranking.
In: Kok, Joost N.; Koronacki, Jacek; Lopez de Mantaras, Raomon; Matwin, Stan; Mladenič, Dunja und Skowron, Andrzej (Hrsg.):
Machine Learning: ECML 2007. 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings. Lecture Notes in Computer Science, Bd. 4701. Berlin, Heidelberg: Springer. S. 583-590
Sulzmann, Jan-Nikolas; Fürnkranz, Johannes und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2007):
On Pairwise Naive Bayes Classifiers.
In: Kok, Joost N.; Koronacki, Jacek; Lopez de Mantaras, Raomon; Matwin, Stan; Mladenič, Dunja und Skowron, Andrzej (Hrsg.):
Machine Learning: ECML 2007. 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings. Lecture Notes in Computer Science, Bd. 4701. Berlin, Heidelberg: Springer. S. 371-381
4626
Brinker, Klaus und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2007):
Label Ranking in Case-Based Reasoning.
In: Weber, Rosina O. und Richter, Michael M. (Hrsg.):
Case-Based Reasoning Research and Development. 7th International Conference on Case-Based Reasoning, ICCBR 2007 Belfast, Northern Ireland, UK, August 13-16, 2007 Proceedings. Lecture Notes in Computer Science, Bd. 4626. Berlin, Heidelberg: Springer. S. 77-91
4597
Beringer, Jürgen und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2007):
An Efficient Algorithm for Instance-Based Learning on Data Streams.
In: Perner, Petra (Hrsg.):
Advances in Data Mining. Theoretical Aspects and Applications. 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007. Proceedings. Lecture Notes in Computer Science, Bd. 4597. Berlin, Heidelberg: Springer. S. 34-48
4212
Brinker, Klaus und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2006):
Case-Based Label Ranking.
In: Fürnkranz, Johannes; Scheffer, Tobias und Spiliopoulou, Myra (Hrsg.):
Machine Learning: ECML 2006. 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings. Lecture Notes in Computer Science, Bd. 4212. Berlin, Heidelberg: Springer. S. 566-573
3646
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Beringer, Jürgen
(September 2005):
Learning from Ambiguously Labeled Examples.
In: Famili, A. Fazel; Kok, Joost N.; Peña, José M.; Siebes, Arno und Feelders, Ad (Hrsg.):
Advances in Intelligent Data Analysis VI. Lecture Notes in Computer Science. 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005. Proceedings, Bd. 3646. Berlin, Heidelberg: Springer. S. 168-179
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Fürnkranz, Johannes
(September 2005):
Learning Label Preferences: Ranking Error Versus Position Error.
In: Fazel Famili, A.; Kok, Joost N.; Peña, José M.; Siebes, Arno und Feelders, Ad (Hrsg.):
Advances in Intelligent Data Analysis VI. 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005. Proceedings. Lecture Notes in Computer Science, Bd. 3646. Berlin, Heidelberg: Springer. S. 180-191
3571
2837
Fürnkranz, Johannes und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2003):
Pairwise Preference Learning and Ranking.
In: Lavrač, Nada; Gamberger, Dragan; Blockeel, Hendrik und Todorovski, Ljupčo (Hrsg.):
Machine Learning: ECML 2003. 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003. Proceedings. Lecture Notes in Computer Science, Bd. 2837. Berlin, Heidelberg: Springer. S. 145-156
2821
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2003):
Instance-Based Learning of Credible Label Sets.
In: Günter, Andreas; Kruse, Rudolf und Neumann, Bernd (Hrsg.):
KI 2003: Advances in Artificial Intelligence. 26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003. Proceedings. Lecture Notes in Computer Science, Bd. 2821. Berlin, Heidelberg: Springer. S. 450-464
2810
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(August 2003):
Regularized Learning with Flexible Constraints.
In: Berthold, Michael R.; Lenz, Hans-Joachim; Bradley, Elizabeth; Kruse, Rudolf und Borgelt, Christian (Hrsg.):
Advances in Intelligent Data Analysis V. 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003. Proceedings. Lecture Notes in Computer Science, Bd. 2810. Berlin, Heidelberg: Springer. S. 13-24
2715
Dubois, Didier; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Prade, Henri
(2003):
A Note on Quality Measures for Fuzzy Association Rules.
In: Bilgiç, Taner; De Baets, Bernard und Okyay Kaynak (Hrsg.):
Fuzzy Sets and Systems — IFSA 2003. 10th International Fuzzy Systems Association World Congress Istanbul, Turkey, June 30 – July 2, 2003 Proceedings. Lecture Notes in Computer Science, Bd. 2715. Berlin, Heidelberg: Springer. S. 346-353
2431
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2002):
Association Rules for Expressing Gradual Dependencies.
In: Elomaa, Tapio; Mannila, Heikki und Toivonen, Hannu (Hrsg.):
Principles of Data Mining and Knowledge Discovery. 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings. Lecture Notes in Computer Science, Bd. 2431. Berlin, Heidelberg: Springer. S. 200-211
2430
2206
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1898
Dubois, Didier; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Prade, Henri
(2003):
Flexible Control of Case-Based Prediction in the Framework of Possibility Theory.
In: Blanzieri, Enrico und Portinale, Luigi (Hrsg.):
Advances in Case-Based Reasoning. 5th European Workshop, EWCBR 2000 Trento, Italy, September 6–9, 2000 Proceedings. Lecture Notes in Computer Science, Bd. 1898. Berlin, Heidelberg: Springer. S. 61-73
1642
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(1999):
Exploiting Similarity for Supporting Data Analysis and Problem Solving.
In: Hand, David J.; Kok, Joost N. und Berthold, Michael R. (Hrsg.):
Advances in Intelligent Data Analysis. Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings. Lecture Notes in Computer Science, Bd. 1642. Berlin, Heidelberg: Springer. S. 257-268
1625
1238
Rahnama, Javad und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(5. Juni 2020):
Learning Tversky Similarity.
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, 15-19 June 2020.
In: Information Processing and Management of Uncertainty in Knowledge-Based Systems,
Bd. 1238
Cham: Springer. S. 269-280
[PDF, 418kB]
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610
Pfannschmidt, Karlson; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Held, Susanne und Neiger, Reto
(2016):
Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts.
In: Carvalho, Joao Paulo; Lesot, Marie-Jeanne; Kaymak, Uzay; Vieira, Susana; Bouchon-Meunier, Bernadette und Yager, Ronald R. (Hrsg.):
Information Processing and Management of Uncertainty in Knowledge-Based Systems. 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I. Communications in Computer and Information Science, Bd. 610. Cham: Springer. S. 450-461
[PDF, 519kB]
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472
445
297
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Fallah Tehrani, Ali
(2012):
On the VC-Dimension of the Choquet Integral.
In: Greco, Salvatore; Bouchon-Meunier, Bernadette; Coletti, Gulianella; Fedrizzi, Mario; Matarazzo, Benedetto und Yager, Ronald R. (Hrsg.):
Advances on Computational Intelligence. 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012. Proceedings, Part I. Communications in Computer and Information Science, Bd. 297. Berlin, Heidelberg: Springer. S. 42-50
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243
242
Dembczyński, Krzysztof; Waegeman, Willem und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(August 2012):
An Analysis of Chaining in Multi-Label Classification.
In: De Raedt, Luc; Bessiere, Christian; Dubois, Didier; Doherty, Patrick; Frasconi, Paolo; Heintz, Fredrik und Lucas, Peter (Hrsg.):
ECAI 2012 : 20th European Conference on Artificial Intelligence, 27 - 31 August 2012, Montpellier, France. Frontiers in Artificial Intelligence and Applications, Bd. 242. Amsterdam: IOS Press. S. 294-299
[PDF, 258kB]
238
Kolpaczki, Patrick; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Mai 2024):
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2. - 4. May 2024.
In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research
Bd. 238
PMLR. S. 3520-3528
[PDF, 8MB]
235
Fumagalli, Fabian; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; HÜllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(Juli 2024):
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 14308-14342
[PDF, 1MB]
Herrmann, Moritz ORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Boulesteix, Anne-Laure und Bischl, Bernd
(Juli 2024):
Position: Why We Must Rethink Empirical Research in Machine Learning.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 18228-18247
[PDF, 334kB]
Juergens, Mira; Meinert, Nis; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem
(Juli 2024):
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 22624-22642
[PDF, 8MB]
226
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150
141
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136
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119
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111
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107
Haasenritter, Jörg; Viniol, Annika; Becker, Annette; Bösner, Stefan; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Senge, Robin und Donner-Banzhoff, Norbert
(2013):
Diagnose im Kontext – eine erweiterte Perspektive.
In: Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen, Bd. 107, Nr. 9-10: S. 585-591
97
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77
76
75
72
67
60
55
54
Ewerth, Ralph; Balz, Alexander; Gehlhaar, Jan; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2015):
Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.
In: Hoffmann, Frank und Hüllermeier, Eyke (Hrsg.):
Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27. November 2015. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie, Bd. 54. Karlsruhe: KIT Scientific Publishing. S. 235-239
[PDF, 494kB]
50
47
46
43
38
36
Bevanda, Petar; Beier, Max; Lederer, Armin; Sosnowski, Stefan; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hirche, Sandra
(Dezember 2023):
Koopman Kernel Regression.
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, 10. - 16. December 2023.
In: Proceedings of the 37th Annual Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems
Bd. 36
Curran Associates, Inc.. S. 16207-16221
[PDF, 466kB]
Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591
(Dezember 2023):
SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, 10. - 16. December 2023.
In: Proceedings of the 37th Annual Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems
Bd. 36
Curran Associates, Inc.. S. 11515-11551
[PDF, 1MB]
35
34
33
32
Tehrani, Ali Fallah und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Ordinal Choquistic Regression.
8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2013), Milan, Italy, 11 - 13 September 2013.
In: 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2013) : Milan, Italy, 11 - 13 September 2013, Advances in intelligent systems research
Bd. 32
Red Hook, NY: Curran. S. 802-809
[PDF, 1MB]
31
29
Dari, Simone und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
Reliable Driver Gaze Classification based on Conformal Prediction.
30. Workshop Computational Intelligence, Berlin, Germany, 26. – 27. November 2020.
Schulte, H.; Hoffmann, F. und Mikut, R. (Hrsg.):
In: Proceedings. 30. Workshop Computational Intelligence Berlin, 26. – 27. November 2020, Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH)
Bd. 29
Karlsruhe: KIT Scientific Publishing. S. 1-15
[PDF, 516kB]
Heid, Stefan; Ramaswamy, Arunselvan und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
Constrained Multi-Agent Optimization with Unbounded Information Delay.
30. Workshop Computational Intelligence, Berlin, Germany, 26. – 27. November 2020.
Schulte, H.; Hoffmann, F. und Mikut, R. (Hrsg.):
In: Proceedings. 30. Workshop Computational Intelligence Berlin, 26. – 27. November 2020, Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH)
Bd. 29
Karlsruhe: KIT Scientific Publishing. S. 247-261
[PDF, 369kB]
Hoffmann, Frank und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Dezember 2009):
Multiple Geometrical Alignments for the Analysis of Protein Active Sites.
19. Workshop Computational Intelligence, Dortmund, 2. - 4. Dezember 2009.
Hoffmann, Frank und Hüllermeier, Eyke (Hrsg.):
In: Proceedings. 19. Workshop Computational Intelligence, Dortmund, 2. - 4. Dezember 2009, Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH)
Bd. 29
Karlsruhe: KIT Scientific Publishing. S. 237-255
[PDF, 453kB]
28
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Drees, Jan Peter; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Jager, Tibor; Konze, Alexander; Priesterjahn, Claudia; Ramaswamy, Arunselvan und Somorovsky, Juraj
(November 2021):
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!
CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, 15. November 2021.
Carlini, Nicholas (Hrsg.):
In: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security,
Bd. 22
New York: Association for Computing Machinery. S. 169-180
Jasinska, Kalina; Dembczynski, Krzysztof; Busa-Fekete, Róbert; Pfannschmidt, Karlson; Klerx, Timo und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Extreme F-measure maximization using sparse probability estimates.
ICML'16: 33rd International Conference on International Conference on Machine Learning, New York, NY USA, June 19 - 24, 2016.
Balcan, Maria Florina und Weinberger, Kilian Q. (Hrsg.):
In: Proceedings of the 33rd International Conference on International Conference on Machine Learning,
Bd. 22
New York: Association for Computing Machinery. S. 1435-1444
[PDF, 719kB]
Schäfer, Dirk und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Plackett-Luce Networks for Dyad Ranking.
LWDA 2016: Lernen, Wissen, Daten, Analysen 2016, Potsdam, Germany, September 12-14, 2016.
Krestel, Ralf; Mottin, Davide und Müller, Emmanuel (Hrsg.):
In: Proceedings of the Conference "Lernen, Wissen, Daten, Analysen",
Bd. 22
S. 323-334
[PDF, 461kB]
20
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Krempl, Georg; Žliobaite, Indre; Brzeziński, Dariusz; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Last, Mark; Lemaire, Vincent; Noack, Tino; Shaker, Ammar; Sievi, Sonja; Spiliopoulou, Myra und Stefanowski, Jerzy
(2014):
Open challenges for data stream mining research.
In: ACM SIGKDD Explorations Newsletter, Bd. 16, Nr. 1: S. 1-10
15
14
13
Rohlfing, Katharina J. ORCID: https://orcid.org/0000-0002-5983-0071; Cimiano, Philipp; Scharlau, Ingrid ORCID: https://orcid.org/0000-0003-2364-9489; Matzner, Tobias; Buhl, Heike M.; Buschmeier, Hendrik ORCID: https://orcid.org/0000-0002-9613-5713; Esposito, Elena ORCID: https://orcid.org/0000-0002-3075-292X; Grimminger, Angela ORCID: https://orcid.org/0000-0002-5749-9362; Hammer, Barbara; Hab-Umbach, Reinhold ORCID: https://orcid.org/0000-0001-9468-7330; Horwath, Ilona ORCID: https://orcid.org/0000-0002-0564-7546; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Kern, Friederike; Kopp, Stefan ORCID: https://orcid.org/0000-0002-4047-9277; Thommes, Kirsten ORCID: https://orcid.org/0000-0002-8057-7162; Ngonga Ngomo, Axel-Cyrille; Schulte, Carsten; Wachsmuth, Henning; Wagner, Petra ORCID: https://orcid.org/0000-0001-6662-3612 und Wrede, Britta
(September 2021):
Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.
In: IEEE Transactions on Cognitive and Developmental Systems, Bd. 13, Nr. 3: S. 717-728
[PDF, 1MB]
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11
Stock, Michiel; Fober, Thomas; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Glinca, Serghei; Klebe, Gerhard; Pahikkala, Tapio; Airola, Antti; De Baets, Bernard und Waegeman, Willem
(2014):
Identification of Functionally Related Enzymes by Learning-to-Rank Methods.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bd. 11, Nr. 6: S. 1157-1169
9
8
6
5
4
Cheng, Weiwei; Henzgen, Sascha und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Labelwise versus Pairwise Decomposition in Label Ranking.
LWA 2013. Lernen, Wissen & Adaptivität, Bamberg, Germany, 7.-9. October 2013.
Henrich, Andreas und Sperker, Hans-Christian (Hrsg.):
In: LWA 2013. Lernen, Wissen & Adaptivität, Workshop Proceedings Bamberg, 7.-9. October 2013, Dagstuhl Reports
Bd. 4
Bamberg: Universitätsbibliothek Bamberg. S. 129-136
3
Dubois, Didier; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Prade, Henri
(Juli 2001):
Toward the representation of implication-based fuzzy rules in terms of crisp rules.
20th NAFIPS International Conference, Vancouver, BC, Canada, 25-28 July 2001.
Smith, Michael H. (Hrsg.):
In: Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569),
Bd. 3
IEEE Operations Center: Piscataway, NJ. S. 1592-1597
1
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Fürnkranz, J.
(2004):
Ranking by pairwise comparison a note on risk minimization.
2004 IEEE International Conference on Fuzzy Systems, Budapest, Hungary, 25-29 July, 2004.
In: 2004 IEEE International Conference on Fuzzy Systems : proceedings : Budapest, Hungary, 25-29 July, 2004,
Bd. 1
Piscataway, N.J: IEEE. S. 97-102
de Calmes, Martine; Dubois, Didier; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Prade, Henri und Sedes, Florence
(2002):
Case-based querying and prediction: a fuzzy set approach.
2002 IEEE World Congress on Computational Intelligence, Honolulu, HI, USA, 12-17 May 2002.
In: 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings. Volume 2,
Bd. 1
Piscataway, NJ: IEEE. S. 735-739
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