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Anzahl der Publikationen auf dieser Ebene: 214

14948

Damke, Clemens ORCID logoORCID: https://orcid.org/0000-0002-0455-0048 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (September 2024): CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks. 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 VIII, Proc. ECML PKDD 2024, LNCS Bd. 14948 Cham: Springer. S. 306-323 [PDF, 2MB]

14941

Vahidi, Amihossein; Wimmer, Lisa; Gündüz, Hüseyin Anil; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID logoORCID: 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

Löhr, Timo ORCID logoORCID: https://orcid.org/0000-0001-7150-4618; Ingrisch, Michael ORCID logoORCID: https://orcid.org/0000-0003-0268-9078 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2024): Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. 22nd International Conference of Artificial Intelligence in Medicine (AIME 2024), Salt Lake City, Utah, USA, 9. - 12. July 2024. In: Artificial Intelligence in Medicine, LNAI Bd. 14845 Springer Cham. S. 145-155

13633

Campagner, Andrea ORCID logoORCID: https://orcid.org/0000-0002-0027-5157; Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Ciucci, Davide ORCID logoORCID: https://orcid.org/0000-0002-8083-7809 (2022): Scikit-Weak: A Python Library for Weakly Supervised Machine Learning. International Joint Conference on Rough Sets, Suzhou, China, 11-14 November 2022. In: Rough Sets, Bd. 13633 Cham: Springer. S. 57-70

13562

Rodemann, Julian ORCID logoORCID: https://orcid.org/0000-0001-6112-4136; Kreiss, Dominik; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Augustin, Thomas (Oktober 2022): Levelwise Data Disambiguation by Cautious Superset Classification. 15th International Conference on Scalable Uncertainty Management, Paris, France, 17-19 October 2022. In: Proceedings of the 15th International Conference on Scalable Uncertainty Management, Bd. 13562 Cham: Springer. S. 263-276

13113

Feldhans, Robert; Wilke, Adrian; Heindorf, Stefan; Shaker, Mohammad Hossein; Hammer, Barbara; Ngonga Ngomo, Axel-Cyrille und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0002-0455-0048 und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID logoORCID: 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

Peeters, Sven; Melnikov, Vitalik und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (26. April 2021): Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games. 19th International Symposium on Intelligent Data Analysis, Porto, Portugal, April 26–28, 2021. In: Advances in Intelligent Data Analysis XIX, Bd. 12695 S. 222-234

12459

Rapp, Michael ORCID logoORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes; Nguyen, Vu-Linh und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID logoORCID: 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]

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Fürnkranz, Johannes und Loza Mencia, Eneldo (2020): Conformal Rule-Based Multi-label Classification. KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020. In: KI 2020: Advances in Artificial Intelligence, Bd. 12325 Cham: Springer. S. 290-296 [PDF, 350kB]

Pfannschmidt, Karlson ORCID logoORCID: https://orcid.org/0000-0001-9407-7903 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2020): Learning Choice Functions via Pareto-Embeddings. 43rd German Conference on AI, Bamberg, Germany, 21-25 September, 2020. In: KI 2020: Advances in Artificial Intelligence, Bd. 12325 Cham: Springer. S. 327-333 [PDF, 494kB]

12323

Nguyen, Vu-Linh ORCID logoORCID: https://orcid.org/0000-0003-1642-4468; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Rapp, Michael ORCID logoORCID: https://orcid.org/0000-0001-8570-8240; Loza Mencia, Eneldo und Fürnkranz, Johannes (15. Oktober 2020): On Aggregation in Ensembles of Multilabel Classifiers. 23rd International Conference on Discovery Science, Virtual, 19-21 October 2020. In: Discovery Science, Bd. 12323 Cham: Springer. S. 533-547 [PDF, 354kB]

Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID logoORCID: 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

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (September 2020): Towards Analogy-Based Explanations in Machine Learning. Modeling Decisions for Artificial Intelligence, Sant Cugat, Spain, September 2–4, 2020. In: Modeling Decisions for Artificial Intelligence, Bd. 12256 Cham: Springer. S. 205-217 [PDF, 859kB]

12173

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Fürnkranz, Johannes; Loza Mencia, Eneldo; Nguyen, Vu-Linh ORCID logoORCID: https://orcid.org/0000-0003-1642-4468 und Rapp, Michael ORCID logoORCID: https://orcid.org/0000-0001-8570-8240 (August 2020): Rule-Based Multi-label Classification: Challenges and Opportunities. 4th International Joint Conference on Rules and Reasoning, Virtual, 29 June - 1 July 2020. In: Rules and Reasoning, Bd. 12173 Cham: Springer. S. 3-19

12096

El Mesaoudi-Paul, Adil; Weiß, Dimitri; Bengs, Viktor; Hüllermeier, Eyke ORCID logoORCID: 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

Shaker, Mohammad Hossein und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (April 2020): Aleatoric and Epistemic Uncertainty with Random Forests. International Symposium on Intelligent Data Analysis, Bodenseeforum, Lake Constance, Germany, April 27-29 2020. In: Advances in Intelligent Data Analysis XVIII, Bd. 12080 Cham: Springer. S. 444-456 [PDF, 1MB]

Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix und Hüllermeier, Eyke ORCID logoORCID: 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

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Couso, Ines (2019): Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In: Ben Amor, Nahla; Quost, Benjamin und Theobald, Martin (Hrsg.): Scalable Uncertainty Management. Lecture Notes in Computer Science, Bd. 11940. Cham: Springer. S. 266-279

11908

Brinker, Klaus und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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

Shabani, Aulon; Paul, Adil; Platon, Radu und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2016): Predicting the Electricity Consumption of Buildings: An Improved CBR Approach. In: Goel, Ashok; Díaz-Agudo, M. Belén und Roth-Berghofer, Thomas (Hrsg.): Case-Based Reasoning Research and Development. Lecture Notes in Computer Science, Bd. 9969. Cham: Springer. S. 356-369

9852

Dembczyński, Krzysztof; Kotłowski, Wojciech; Waegeman, Willem; Busa-Fekete, Róbert und Hüllermeier, Eyke ORCID logoORCID: 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]

Melnikov, Vitalik und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2016): Learning to Aggregate Using Uninorms. In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe und Vreeken, Jilles (Hrsg.): Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science, Bd. 9852. S. 756-771 [PDF, 472kB]

9343

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Minor, Mirjam (Hrsg.) (2015): 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.

Abdel-Aziz, Amira und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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 logoORCID: 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

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Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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

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Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: 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

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Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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

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Vanderlooy, Stijn und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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 logoORCID: 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

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Brinker, Klaus und Hüllermeier, Eyke ORCID logoORCID: 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

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Beringer, Jürgen und Hüllermeier, Eyke ORCID logoORCID: 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

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Brinker, Klaus und Hüllermeier, Eyke ORCID logoORCID: 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

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Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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

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Dubois, Didier und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2005): A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering. In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 8th European Conference, ECSQARU 2005, Barcelona, Spain, July 6-8, 2005. Proceedings. Lecture Notes in Computer Science, Bd. 3571. Berlin, Heidelberg: Springer. S. 848-859

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Fürnkranz, Johannes und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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

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Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2003): Inducing Fuzzy Concepts through Extended Version Space Learning. In: Bilgiç, Taner; De Baets, Bernard und Kaynak, Okyay (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. 677-684

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Hüllermeier, Eyke ORCID logoORCID: 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

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2002): Possibilistic Induction in Decision-Tree Learning. In: Elomaa, Tapio; Mannila, Heikki und Toivonen, Hannu (Hrsg.): Machine Learning: ECML 2002.13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings. Lecture Notes in Computer Science, Bd. 2430. Cham: Springer. S. 173-184

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Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Oktober 2001): Fuzzy Association Rules: Semantic Issues and Quality Measures. In: Reusch, Bernd (Hrsg.): Computational Intelligence. Theory and Applications. International Conference, 7th Fuzzy Days Dortmund, Germany, October 1–3, 2001 Proceedings. Lecture Notes in Computer Science, Bd. 2206. Berlin, Heidelberg: Springer. S. 380-391

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Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2001): Implication-Based Fuzzy Association Rules. In: Principles of Data Mining and Knowledge Discovery. 5th European Conference, PKDD 2001, Freiburg, Germany, September 3–5, 2001 Proceedings. Lecture Notes in Computer Science, Bd. 2168. Berlin, Heidelberg: Springer. S. 241-252

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Dubois, Didier; Hüllermeier, Eyke ORCID logoORCID: 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

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2003): A Method for Predicting Solutions in Case-Based Problem Solving. 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. 124-135

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Hüllermeier, Eyke ORCID logoORCID: 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

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Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Mai 1999): A Possibilistic Formalization of Case-Based Reasoning and Decision Making. In: Reusch, Bernd (Hrsg.): Computational Intelligence. Theory and Applications International Conference, 6th Fuzzy Days Dortmund, Germany, May 25–28 1999 Proceedings. Lecture Notes in Computer Science, Bd. 1625. Berlin, Heidelberg: Springer. S. 411-420

1238

Rahnama, Javad und Hüllermeier, Eyke ORCID logoORCID: 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]

1237

Campagner, Andrea ORCID logoORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID logoORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2020): Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory. 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. 1237 Cham: Springer. S. 471-484 [PDF, 325kB]

739

Couso, Inés und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2017): Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators. In: Frontiers in Computational Intelligence. Studies in Computational Intelligence, Bd. 739. Cham: Springer. S. 31-46

610

Pfannschmidt, Karlson; Hüllermeier, Eyke ORCID logoORCID: 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]

504

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Fürnkranz, Johannes (2008): Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants. In: Della Riccia, Giacomo; Dubois, Didier; Kruse, Rudolf und Lenz, Hans-Joachim (Hrsg.): Preferences and Similarities. CISM International Centre for Mechanical Sciences, Bd. 504. Vienna: Springer. S. 283-304

472

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2003): Sequential Decision Making in Heuristic Search. In: Della Riccia, Giacomo; Dubois, Didier; Kruse, Rudolf und Lenz, Hans-J. (Hrsg.): Planning Based on Decision Theory. International Centre for Mechanical Sciences, Bd. 472. Vienna: Springer. S. 27-41

445

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Tehrani, Ali Fallah (2013): Efficient Learning of Classifiers Based on the 2-Additive Choquet Integral. In: Moewes, Christian und Nürnberger, Andreas (Hrsg.): Computational Intelligence in Intelligent Data Analysis. Studies in Computational Intelligence, Bd. 445. Berlin, Heidelberg: Springer. S. 17-29

297

Hüllermeier, Eyke ORCID logoORCID: 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

281

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2015): Does machine learning need fuzzy logic? In: Fuzzy Sets and Systems, Bd. 281: S. 292-299

271

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies. In: Trillas, Enric; Bonissone, Piero P.; Magdalena, Luis und Kacprz, Janusz (Hrsg.): Combining Experimentation and Theory. A Hommage to Abe Mamdani. Studies in Fuzziness and Soft Computing, Bd. 271. S. 123-135

262

Hühn, Jens Christian und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2010): An Analysis of the FURIA Algorithm for Fuzzy Rule Induction. In: Koronacki, Jacek; Raś, Zbigniew W.; Wierzchoń, Sławomir T. und Kacprzyk, Janusz (Hrsg.): Advances in Machine Learning I. Dedicated to the Memory of Professor Ryszard S. Michalski. Studies in Computational Intelligence, Bd. 262. Berlin, Heidelberg: Springer. S. 321-344

258

Bräuning, Michael; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Keller, Tobias und Glaum, Martin (2017): Lexicographic preferences for predictive modeling of human decision making: A new machine learning method with an application in accounting. In: European Journal of Operational Research, Bd. 258, Nr. 1: S. 295-306

255

Senge, Robin; Bösner, Stefan; Dembczyński, Krzysztof; Haasenritter, Jörg; Hirsch, Oliver; Donner-Banzhoff, Norbert und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. In: Information Sciences, Bd. 255: S. 16-29

243

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2009): On the Usefulness of Fuzzy Sets in Data Mining. In: Views on Fuzzy Sets and Systems from Different Perspectives. Philosophy and Logic, Criticisms and Applications. Studies in Fuzziness and Soft Computing, Bd. 243. Berlin, Heidelberg: Springer. S. 457-470

242

Dembczyński, Krzysztof; Waegeman, Willem und Hüllermeier, Eyke ORCID logoORCID: 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

Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Haddenhorst, Björn und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Mai 2024): Identifying Copeland Winners in Dueling Bandits with Indifferences. 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. 226-234 [PDF, 522kB]

Kolpaczki, Patrick; Muschalik, Maximilian ORCID logoORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID logoORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID logoORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID logoORCID: 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]

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Fumagalli, Fabian; Muschalik, Maximilian ORCID logoORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; HÜllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: 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]

Sale, Yusuf; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Caprio, Michele und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2024): Second-Order Uncertainty Quantification: A Distance-Based Approach. 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. 43060-43076 [PDF, 2MB]

226

Henzgen, Sascha; Strickert, Marc und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2013): Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems. In: Burduk, Robert; Jackowski, Konrad; Kurzynski, Marek; Wozniak, Michał und Zolnierek, Andrzej (Hrsg.): Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, Bd. 226. S. 279-288

Shaker, Ammar und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2013): Recovery Analysis for Adaptive Learning from Non-stationary Data Streams. In: Burduk, Robert; Jackowski, Konrad; Kurzynski, Marek; Wozniak, Michał und Zolnierek, Andrzej (Hrsg.): Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, Bd. 226. S. 289-298

220

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2008): Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects. In: Bustince, Humberto; Herrera, Francisco und Montero, Javier (Hrsg.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Studies in Fuzziness and Soft Computing, Bd. 220. Berlin, Heidelberg: Springer. S. 357-375

Shaker, Ammar; Senge, Robin und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2013): Evolving fuzzy pattern trees for binary classification on data streams. In: Information Sciences, Bd. 220: S. 34-45

206

Ruiz, M. Dolores und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. In: Information Sciences, Bd. 206: S. 1-17

175

Domshlak, Carmel; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Kaci, Souhila und Prade, Henri (2011): Preferences in AI: An overview. In: Artificial Intelligence, Bd. 175, Nr. 7-8: S. 1037-1052

173

Bengs, Viktor; Eulert, Matthias und Holzmann, Hajo (2019): Asymptotic confidence sets for the jump curve in bivariate regression problems. In: Journal of Multivariate Analysis, Bd. 173: S. 291-312

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Shaker, Ammar und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2015): Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. In: Neurocomputing, Bd. 150, Nr. A: S. 250-264

141

Strickert, Marc; Bunte, Kerstin; Schleif, Frank-Michael und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Correlation-based embedding of pairwise score data. In: Neurocomputing, Bd. 141: S. 97-109

140

Pfannschmidt, Karlson ORCID logoORCID: https://orcid.org/0000-0001-9407-7903; Gupta, Pritha ORCID logoORCID: https://orcid.org/0000-0002-7277-4633; Haddenhorst, Björn und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Januar 2022): Learning context-dependent choice functions. In: International Journal of Approximate Reasoning, Bd. 140: S. 116-155 [PDF, 4MB]

136

Campagner, Andrea ORCID logoORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID logoORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2021): Rough set-based feature selection for weakly labeled data. In: International Journal of Approximate Reasoning: S. 150-167

134

Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2021): Instance weighting through data imprecisiation. In: International Journal of Approximate Reasoning, Bd. 134: S. 1-14

119

Haddenhorst, Björn; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Kolb, Martin (April 2020): Generalized transitivity: A systematic comparison of concepts with an application to preferences in the Babington Smith model. In: International Journal of Approximate Reasoning, Bd. 119: S. 373-407

112

Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (16. November 2022): Multi-armed bandits with censored consumption of resources. In: Machine Learning, Bd. 112, Nr. 2: S. 217-240 [PDF, 2MB]

111

Nguyen, Vu-Linh; Shaker, Mohammad Hossein und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Januar 2022): How to measure uncertainty in uncertainty sampling for active learning. In: Machine Learning, Bd. 111, Nr. 1: S. 89-122 [PDF, 7MB]

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Haddenhorst, Björn ORCID logoORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2021): On testing transitivity in online preference learning. In: Machine Learning, Bd. 110, Nr. 8: S. 2063-2084 [PDF, 2MB]

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem (März 2021): Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. In: Machine Learning, Nr. 3: S. 457-506 [PDF, 4MB]

107

Haasenritter, Jörg; Viniol, Annika; Becker, Annette; Bösner, Stefan; Hüllermeier, Eyke ORCID logoORCID: 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

Melnikov, Vitalik und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2018): On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis. In: Machine Learning, Bd. 107, Nr. 8-10: S. 1537-1560

Mohr, Felix; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2018): ML-Plan: Automated machine learning via hierarchical planning. In: Machine Learning, Bd. 107, Nr. 8-10: S. 1495-1515

Schäfer, Dirk und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2018): Dyad ranking using Plackett–Luce models based on joint feature representations. In: Machine Learning, Bd. 107, Nr. 5: S. 903-941

97

Busa-Fekete, Róbert; Szörényi, Balázs; Weng, Paul; Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. In: Machine Learning, Bd. 97, Nr. 3: S. 327-351

Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Meo, Rosa (2014): Guest Editors’ introduction: special issue of the ECML/PKDD 2014 journal track. In: Machine Learning, Bd. 97, Nr. 1-2: S. 1-3

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Fürnkranz, Johannes; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Cheng, Weiwei und Park, Sang-Hyeun (2012): Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. In: Machine Learning, Bd. 89, Nr. 1-2: S. 123-156

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Dubois, Didier und Prade, Henri (2002): Knowledge-Based Extrapolation of Cases: A Possibilistic Approach. In: Bouchon-Meunier, Bernadette; Gutiérrez-Ríos, Julio; Magdalena, Luis und Yager, Ronald R. (Hrsg.): Technologies for Constructing Intelligent Systems 1. Studies in Fuzziness and Soft Computing, Bd. 89. Heidelberg: Physica Verlag. S. 377-390

Tehrani, Ali Fallah; Cheng, Weiwei; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): Learning monotone nonlinear models using the Choquet integral. In: Machine Learning, Bd. 89, Nr. 1-2: S. 183-211

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Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): On label dependence and loss minimization in multi-label classification. In: Machine Learning, Bd. 88, Nr. 1-2: S. 5-45 [PDF, 1MB]

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Koh, Hyung-Won und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2010): Mining Gradual Dependencies Based on Fuzzy Rank Correlation. In: Borgel, Christian (Hrsg.): Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing, Bd. 77. Berlin, Heidelberg: Springer. S. 379-386

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Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2009): Combining instance-based learning and logistic regression for multilabel classification. In: Machine Learning, Bd. 76, Nr. 2-3: S. 211-225

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Fürnkranz, Johannes (2010): On predictive accuracy and risk minimization in pairwise label ranking. In: Journal of Computer and System Sciences, Bd. 76, Nr. 1: S. 49-62

Weskamp, Nils; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Klebe, Gerhard (2009): Merging chemical and biological space: Structural mapping of enzyme binding pocket space. In: Proteins: Structure, Function, and Bioinformatics, Bd. 76, Nr. 2: S. 317-330

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Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID logoORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin (Oktober 2022): A Survey of Methods for Automated Algorithm Configuration. In: Journal of Artificial Intelligence Research, Bd. 75: S. 425-487 [PDF, 852kB]

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Nguyen, Vu-Linh ORCID logoORCID: https://orcid.org/0000-0003-1642-4468 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2. November 2021): Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence. In: Journal of Artificial Intelligence Research, Bd. 72: S. 613-665 [PDF, 1MB]

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Donner-Banzhoff, Norbert; Haasenritter, Jörg; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Viniol, Annika; Bösner, Stefan und Becker, Annette (2014): The comprehensive diagnostic study is suggested as a design to model the diagnostic process. In: Journal of Clinical Epidemiology, Bd. 67, Nr. 2: S. 124-132 [PDF, 1MB]

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Hoffmann, Frank; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Kroll, Andreas (2012): Ausgewählte Beiträge des GMA-Fachausschusses 5.14 “Computational Intelligence”. In: at - Automatisierungstechnik, Bd. 60, Nr. 10: S. 587-588

Senge, Robin; Fober, Thomas; Nasiri, Maryam und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. In: at - Automatisierungstechnik, Bd. 60, Nr. 10: S. 622-629

55

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. In: International Journal of Approximate Reasoning, Bd. 55, Nr. 7: S. 1519-1534

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Rejoinder on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization”. In: International Journal of Approximate Reasoning, Bd. 55, Nr. 7: S. 1609-1613

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Hoffmann, Frank und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Hrsg.) (2015): 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. [PDF, 18MB]

Ewerth, Ralph; Balz, Alexander; Gehlhaar, Jan; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID logoORCID: 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]

Lu, Shenzhen und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (November 2015): Locally weighted regression through data imprecisiation. 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. 97-103 [PDF, 350kB]

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Pfeffer, Patrick; Fober, Thomas; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Klebe, Gerhard (2010): GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm. In: Journal of Chemical Information and Modeling, Bd. 50, Nr. 9: S. 1644-1659

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Montañes, Elena; Senge, Robin; Barranquero, Jose; Ramón Quevedo, José; José del Coz, Juan und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Dependent binary relevance models for multi-label classification. In: Pattern Recognition, Bd. 47, Nr. 3: S. 1494-1508

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Hoffmann, Frank und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Hrsg.) (2013): Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie, Bd. 46. Karlsruhe: KIT Scientific Publishing. [PDF, 18MB]

Henzgen, Sascha und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Dezember 2013): Weighted Rank Correlation Measures Based on Fuzzy Order Relations. In: Hoffmann, Frank und Hüllermeier, Eyke (Hrsg.): Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie, Bd. 46. Karlsruhe: KIT Scientific Publishing. S. 227-236 [PDF, 1MB]

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Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Vanderlooy, Stijn (2010): Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting. In: Pattern Recognition, Bd. 43, Nr. 1: S. 128-142

Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Februar 2021): Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Bd. 43, Nr. 9: S. 3055-3066

Platenius, Marie C.; Shaker, Ammar; Becker, Matthias; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Schafer, Wilhelm (2017): Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. In: IEEE Transactions on Software Engineering, Bd. 43, Nr. 8: S. 739-759

Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (September 2021): AutoML for Multi-Label Classification: Overview and Empirical Evaluation. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Bd. 43, Nr. 9: S. 3037-3054 [PDF, 2MB]

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Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2015): From knowledge-based to data-driven fuzzy modeling. In: Informatik-Spektrum, Bd. 38, Nr. 6: S. 500-509

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Bevanda, Petar; Beier, Max; Lederer, Armin; Sosnowski, Stefan; Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID logoORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Hammer, Barbara ORCID logoORCID: 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]

Muschalik, Maximilian ORCID logoORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID logoORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID logoORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juli 2022): Agnostic Explanation of Model Change based on Feature Importance. In: KI - Künstliche Intelligenz, Bd. 36, Nr. 3-4: S. 211-224 [PDF, 1MB]

Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Bengs, Viktor und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2022): Machine Learning for Online Algorithm Selection under Censored Feedback. Thirty-Sixth AAAI Conference on Artificial Intelligence, Virtual, February 22–March 1, 2022. Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 36, Nr. 9 S. 10370-10380

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Mortier, Thomas ORCID logoORCID: https://orcid.org/0000-0001-9650-9263; Wydmuch, Marek; Dembczyński, Krzysztof; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem (Mai 2021): Efficient set-valued prediction in multi-class classification. In: Data Mining and Knowledge Discovery, Bd. 35, Nr. 4: S. 1435-1469 [PDF, 815kB]

Shaker, Ammar und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2021): TSK-Streams: learning TSK fuzzy systems for regression on data streams. In: Data Mining and Knowledge Discovery, Nr. 5: S. 1941-1971 [PDF, 598kB]

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Nguyen, Vu-Linh ORCID logoORCID: https://orcid.org/0000-0003-1642-4468 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Februar 2020): Reliable Multilabel Classification: Prediction with Partial Abstention. 34th AAAI Conference on Artificial Intelligence, New York, USA, 7-12 Feburary 2020. Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 34, Nr. 04 Palo Alto, California USA: AAAI Press. S. 5264-5271

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Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2005): Fuzzy Methods in Knowledge Discovery. In: Reusch, Bernd (Hrsg.): Computational Intelligence, Theory and Applications. International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29–Oct. 01, 2004 Proceedings. Advances in Soft Computing, Bd. 33. Berlin, Heidelberg: Springer. S. 483

Waegeman, Willem ORCID logoORCID: https://orcid.org/0000-0002-5950-3003; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2019): Multi-target prediction: a unifying view on problems and methods. In: Data Mining and Knowledge Discovery, Bd. 33, Nr. 2: S. 293-324

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Tehrani, Ali Fallah und Hüllermeier, Eyke ORCID logoORCID: 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]

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Fober, Thomas; Mernberger, Marco; Klebe, Gerhard und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): Fingerprint Kernels for Protein Structure Comparison. In: Molecular Informatics, Bd. 31, Nr. 6-7: S. 443-452

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Hoffmann, Frank und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Hrsg.) (2009): 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. [PDF, 19MB]

Abbaszadeh, Sadegh ORCID logoORCID: https://orcid.org/0000-0002-8257-0116 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Dezember 2021): Machine Learning With the Sugeno Integral: The Case of Binary Classification. In: IEEE Transactions on Fuzzy Systems, Nr. 12: S. 3723-3733

Dari, Simone und Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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]

Heider, Dominik; Senge, Robin; Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2013): Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction. In: Bioinformatics, Bd. 29, Nr. 16: S. 1946-1952

Hoffmann, Frank und Hüllermeier, Eyke ORCID logoORCID: 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]

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Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Meo, Rosa (2014): Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track. In: Data Mining and Knowledge Discovery, Bd. 28, Nr. 5-6: S. 1129-1133

Leinweber, Matthias; Fober, Thomas; Strickert, Marc; Baumgartner, Lars; Klebe, Gerhard; Freisleben, Bernd und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2016): CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites. In: IEEE Transactions on Knowledge and Data Engineering, Bd. 28, Nr. 6: S. 1423-1434

Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; van Rooijen, Lorijn und Hamann, Heiko (Juni 2020): Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. In: Evolutionary Computation, Bd. 28, Nr. 2: S. 165-193

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Dubois, Didier; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Prade, Henri (2006): Fuzzy methods for case-based recommendation and decision support. In: Journal of Intelligent Information Systems, Bd. 27, Nr. 2: S. 95-115

Richter, Cedric; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Jakobs, Marie-Christine und Wehrheim, Heike (April 2020): Algorithm selection for software validation based on graph kernels. In: Automated Software Engineering, Bd. 27, Nr. 1-2: S. 153-186 [PDF, 2MB]

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Hesse, Michael; Timmermann, Julia; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Trächtler, Ansgar (2018): A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. In: Procedia Manufacturing, Bd. 24: S. 15-20 [PDF, 503kB]

Shaker, Ammar und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. In: International Journal of Applied Mathematics and Computer Science, Bd. 24, Nr. 1: S. 199-212 [PDF, 506kB]

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Garcia-Jimenez, Santiago; Bustince, Humberto; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Mesiar, Radko; Pal, Nikhil R. und Pradera, Ana (2015): Overlap Indices: Construction of and Application to Interpolative Fuzzy Systems. In: IEEE Transactions on Fuzzy Systems, Bd. 23, Nr. 4: S. 1259-1273

Senge, Robin und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2015): Fast Fuzzy Pattern Tree Learning for Classification. In: IEEE Transactions on Fuzzy Systems, Bd. 23, Nr. 6: S. 2024-2033

22

Agarwal, Manish; Fallah Tehrani, Ali und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Preference-based Learning of Ideal Solutions in TOPSIS-like Decision Models. In: Journal of Multi-Criteria Decision Analysis, Bd. 22, Nr. 3-4: S. 175-183

Drees, Jan Peter; Gupta, Pritha ORCID logoORCID: https://orcid.org/0000-0002-7277-4633; Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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 logoORCID: 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

Bustince, Humberto; Pagola, Miguel; Mesiar, Radko; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Herrera, Francisco (2012): Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons. In: IEEE Transactions on Fuzzy Systems, Bd. 20, Nr. 3: S. 405-415

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Rifqi, Maria; Henzgen, Sascha und Senge, Robin (2012): Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures. In: IEEE Transactions on Fuzzy Systems, Bd. 20, Nr. 3: S. 546-556

Tehrani, Ali Fallah; Cheng, Weiwei und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking. In: IEEE Transactions on Fuzzy Systems, Bd. 20, Nr. 6: S. 1102-1113

19

Hühn, Jens und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2009): FURIA: an algorithm for unordered fuzzy rule induction. In: Data Mining and Knowledge Discovery, Bd. 19, Nr. 3: S. 293-319

Senge, Robin und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2011): Top-Down Induction of Fuzzy Pattern Trees. In: IEEE Transactions on Fuzzy Systems, Bd. 19, Nr. 2: S. 241-252

17

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Vanderlooy, S. (2009): Why Fuzzy Decision Trees are Good Rankers. In: IEEE Transactions on Fuzzy Systems, Bd. 17, Nr. 6: S. 1233-1244

16

Krempl, Georg; Žliobaite, Indre; Brzeziński, Dariusz; Hüllermeier, Eyke ORCID logoORCID: 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

Tagne, Vidal Kamdem; Fotso, Siméon; Fono, Louis Aimé und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2019): Choice Functions Generated by Mallows and Plackett–Luce Relations. In: New Mathematics and Natural Computation, Bd. 15, Nr. 2: S. 191-213

14

Bösner, Stefan; Bönisch, Katharina; Haasenritter, Jörg; Schlegel, Patrice; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Donner-Banzhoff, Norbert (2013): Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? - A cross sectional study. In: BMC Family Practice, Bd. 14, 154 [PDF, 1MB]

Couso, Ines; Borgelt, Christian; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Kruse, Rudolf (2019): Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. In: IEEE Computational Intelligence Magazine, Bd. 14, Nr. 1: S. 31-44

13

Bengs, Viktor und Holzmann, Hajo (2019): Adaptive confidence sets for kink estimation. In: Electronic Journal of Statistics, Bd. 13, Nr. 1: S. 1523-1579 [PDF, 726kB]

Henzgen, Sascha und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2019): Mining Rank Data. In: ACM Transactions on Knowledge Discovery from Data, Bd. 13, Nr. 6: S. 1-36

Rohlfing, Katharina J. ORCID logoORCID: https://orcid.org/0000-0002-5983-0071; Cimiano, Philipp; Scharlau, Ingrid ORCID logoORCID: https://orcid.org/0000-0003-2364-9489; Matzner, Tobias; Buhl, Heike M.; Buschmeier, Hendrik ORCID logoORCID: https://orcid.org/0000-0002-9613-5713; Esposito, Elena ORCID logoORCID: https://orcid.org/0000-0002-3075-292X; Grimminger, Angela ORCID logoORCID: https://orcid.org/0000-0002-5749-9362; Hammer, Barbara; Hab-Umbach, Reinhold ORCID logoORCID: https://orcid.org/0000-0001-9468-7330; Horwath, Ilona ORCID logoORCID: https://orcid.org/0000-0002-0564-7546; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Kern, Friederike; Kopp, Stefan ORCID logoORCID: https://orcid.org/0000-0002-4047-9277; Thommes, Kirsten ORCID logoORCID: https://orcid.org/0000-0002-8057-7162; Ngonga Ngomo, Axel-Cyrille; Schulte, Carsten; Wachsmuth, Henning; Wagner, Petra ORCID logoORCID: 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]

12

Mernberger, Marco; Moog, Daniel; Stork, Simone; Zauner, Stefan; Maier, Uwe G. und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances. In: Journal of Bioinformatics and Computational Biology, Bd. 12, Nr. 1: S. 1350016

Rohlfing, Katharina J. ORCID logoORCID: https://orcid.org/0000-0002-5983-0071; Leonardi, Giuseppe ORCID logoORCID: https://orcid.org/0000-0003-0159-4851; Nomikou, Iris ORCID logoORCID: https://orcid.org/0000-0002-5555-9974; Raczaszek-Leonardi, Joanna ORCID logoORCID: https://orcid.org/0000-0002-3243-1468 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Juni 2020): Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches. In: IEEE Transactions on Cognitive and Developmental Systems, Bd. 12, Nr. 2: S. 260-271

11

Bodenhofer, Ulrich; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Klawonn, Frank und Kruse, Rudolf (2006): Special Issue on Soft Computing for Information Mining. Editorial. In: Soft Computing, Bd. 11, Nr. 5: S. 397-399

Hirsch, Oliver; Bösner, Stefan; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Senge, Robin; Dembczynski, Krzysztof und Donner-Banzhoff, Norbert (2011): Multivariate modeling to identify patterns in clinical data: the example of chest pain. In: BMC Medical Research Methodology, Bd. 11, 155 [PDF, 3MB]

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2011): Fuzzy sets in machine learning and data mining. In: Applied Soft Computing, Bd. 11, Nr. 2: S. 1493-1505 [PDF, 242kB]

Karimi, Iman; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Meskouris, Konstantin (2006): A fuzzy-probabilistic earthquake risk assessment system. In: Soft Computing, Bd. 11, Nr. 3: S. 229-238

Krotzky, Timo; Fober, Thomas; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Klebe, Gerhard (2014): Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bd. 11, Nr. 5: S. 878-890

Stock, Michiel; Fober, Thomas; Hüllermeier, Eyke ORCID logoORCID: 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

Riemenschneider, Mona; Senge, Robin; Neumann, Ursula; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Heider, Dominik (2016): Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. In: BioData Mining, Bd. 9, 10 [PDF, 392kB]

Weber, Daniel ORCID logoORCID: https://orcid.org/0000-0003-3367-5998; Heid, Stefan; Bode, Henrik; Lange, Jarren H.; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Wallscheid, Oliver ORCID logoORCID: https://orcid.org/0000-0001-9362-8777 (Februar 2021): Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. In: IEEE Access, Bd. 9: S. 35654-35669 [PDF, 2MB]

8

Fober, Thomas; Glinca, Gerghei; Klebe, Gerhard und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2011): Superposition and Alignment of Labeled Point Clouds. In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bd. 8, Nr. 6: S. 1653-1666

Mernberger, Marco; Klebe, Gerhard und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2011): SEGA: Semiglobal Graph Alignment for Structure-Based Protein Comparison. In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bd. 8, Nr. 5: S. 1330-1343

6

Dubois, Didier; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Prade, Henri (2003): Possibilistic case-based decisions. In: Lesage, Cédric und Cottrell, Marie (Hrsg.): Connectionist Approaches in Economics and Management Sciences. Advances in Computational Management Science, Bd. 6. Boston, MA: Springer. S. 31-48

5

Heid, Stefan; Weber, Daniel; Bode, Henrik; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Wallscheid, Oliver ORCID logoORCID: https://orcid.org/0000-0001-9362-8777 (Oktober 2020): OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. In: Journal of Open Source Software (JOSS), Bd. 5, Nr. 54, 2435 [PDF, 388kB]

Henzgen, Sascha; Strickert, Marc und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2014): Visualization of evolving fuzzy rule-based systems. In: Evolving Systems, Bd. 5, Nr. 3: S. 175-191

4

Cheng, Weiwei; Henzgen, Sascha und Hüllermeier, Eyke ORCID logoORCID: 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

Fürnkranz, Johannes; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Rudin, Cynthia; Slowinski, Roman und Sanner, Scott (Hrsg.) (2014): Preference Learning. Report from Dagstuhl Seminar 14101. Dagstuhl Reports, Bd. 4. Dagstuhl: Schloss Dagstuhl, Leibniz-Zentrum fuer Informatik. [PDF, 1MB]

3

Dubois, Didier; Hüllermeier, Eyke ORCID logoORCID: 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

Shaker, Ammar und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2012): IBLStreams: a system for instance-based classification and regression on data streams. In: Evolving Systems, Bd. 3, Nr. 4: S. 235-249

1

Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2011): Fuzzy machine learning and data mining. In: WIREs: Data Mining and Knowledge Discovery, Bd. 1, Nr. 4: S. 269-283

Hüllermeier, Eyke ORCID logoORCID: 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 logoORCID: 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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