13633

Campagner, Andrea ORCID: https://orcid.org/0000-0002-0027-5157; Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Ciucci, Davide ORCID: 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: https://orcid.org/0000-0001-6112-4136; Kreiss, Dominik; Hüllermeier, Eyke ORCID: 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: 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

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

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

12695

Peeters, Sven; Melnikov, Vitalik und Hüllermeier, Eyke ORCID: 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: 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

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

Hüllermeier, Eyke ORCID: 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

Pfannschmidt, Karlson ORCID: https://orcid.org/0000-0001-9407-7903 und Hüllermeier, Eyke ORCID: 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

12323

Nguyen, Vu-Linh ORCID: https://orcid.org/0000-0003-1642-4468; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Rapp, Michael ORCID: 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

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

12256

Hüllermeier, Eyke ORCID: 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

12173

Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Fürnkranz, Johannes; Loza Mencia, Eneldo; Nguyen, Vu-Linh ORCID: https://orcid.org/0000-0003-1642-4468 und Rapp, Michael ORCID: 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: 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: 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

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

Hüllermeier, Eyke ORCID: 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: 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

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

Shabani, Aulon; Paul, Adil; Platon, Radu und Hüllermeier, Eyke ORCID: 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: 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

Melnikov, Vitalik und Hüllermeier, Eyke ORCID: 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

9343

Hüllermeier, Eyke ORCID: 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: 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

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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

Dubois, Didier und Hüllermeier, Eyke ORCID: 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

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

Hüllermeier, Eyke ORCID: 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

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

Hüllermeier, Eyke ORCID: 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

2206

Hüllermeier, Eyke ORCID: 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

2168

Hüllermeier, Eyke ORCID: 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

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

Hüllermeier, Eyke ORCID: 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

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

Hüllermeier, Eyke ORCID: 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: 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

1237

Campagner, Andrea ORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID: 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

739

Couso, Inés und Hüllermeier, Eyke ORCID: 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: 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

504

Hüllermeier, Eyke ORCID: 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: 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: 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: 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: 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: 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 [PDF, 11MB]

262

Hühn, Jens Christian und Hüllermeier, Eyke ORCID: 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: 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: 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: 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: 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]

226

Henzgen, Sascha; Strickert, Marc und Hüllermeier, Eyke ORCID: 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: 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: 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: 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: 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: 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

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Shaker, Ammar und Hüllermeier, Eyke ORCID: 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: 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: https://orcid.org/0000-0001-9407-7903; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Haddenhorst, Björn und Hüllermeier, Eyke ORCID: 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

136

Campagner, Andrea ORCID: https://orcid.org/0000-0002-0027-5157; Ciucci, Davide ORCID: https://orcid.org/0000-0002-8083-7809 und Hüllermeier, Eyke ORCID: 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: https://orcid.org/0000-0003-2162-8107 und Hüllermeier, Eyke ORCID: 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: 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: https://orcid.org/0000-0001-6988-6186 und Hüllermeier, Eyke ORCID: 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

111

Nguyen, Vu-Linh; Shaker, Mohammad Hossein und Hüllermeier, Eyke ORCID: 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

110

Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID: 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

Hüllermeier, Eyke ORCID: 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

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

Melnikov, Vitalik und Hüllermeier, Eyke ORCID: 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: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: 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: 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: 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: 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

89

Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: 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: 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: 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

88

Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei und Hüllermeier, Eyke ORCID: 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

77

Koh, Hyung-Won und Hüllermeier, Eyke ORCID: 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

76

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: Machine Learning, Bd. 76, Nr. 2-3: S. 211-225

Hüllermeier, Eyke ORCID: 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: 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

75

Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: 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

72

Nguyen, Vu-Linh ORCID: https://orcid.org/0000-0003-1642-4468 und Hüllermeier, Eyke ORCID: 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

67

Donner-Banzhoff, Norbert; Haasenritter, Jörg; Hüllermeier, Eyke ORCID: 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]

60

Hoffmann, Frank; Hüllermeier, Eyke ORCID: 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: 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: 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: 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

54

Hoffmann, Frank und Hüllermeier, Eyke ORCID: 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: 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

Lu, Shenzhen und Hüllermeier, Eyke ORCID: 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

50

Pfeffer, Patrick; Fober, Thomas; Hüllermeier, Eyke ORCID: 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

47

Montañes, Elena; Senge, Robin; Barranquero, Jose; Ramón Quevedo, José; José del Coz, Juan und Hüllermeier, Eyke ORCID: 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

46

Hoffmann, Frank und Hüllermeier, Eyke ORCID: 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: 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

43

Hüllermeier, Eyke ORCID: 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: https://orcid.org/0000-0002-9293-2424; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186 und Hüllermeier, Eyke ORCID: 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: 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: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix ORCID: https://orcid.org/0000-0002-9293-2424 und Hüllermeier, Eyke ORCID: 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: 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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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 (Juli 2022): Agnostic Explanation of Model Change based on Feature Importance. In: KI - Künstliche Intelligenz, Bd. 36, Nr. 3-4: S. 211-224

Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Bengs, Viktor und Hüllermeier, Eyke ORCID: 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

35

Mortier, Thomas ORCID: https://orcid.org/0000-0001-9650-9263; Wydmuch, Marek; Dembczyński, Krzysztof; Hüllermeier, Eyke ORCID: 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

Shaker, Ammar und Hüllermeier, Eyke ORCID: 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

34

Nguyen, Vu-Linh ORCID: https://orcid.org/0000-0003-1642-4468 und Hüllermeier, Eyke ORCID: 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 S. 5264-5271

33

Hüllermeier, Eyke ORCID: 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: https://orcid.org/0000-0002-5950-3003; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID: 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

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]

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Fober, Thomas; Mernberger, Marco; Klebe, Gerhard und Hüllermeier, Eyke ORCID: 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

29

Hoffmann, Frank und Hüllermeier, Eyke ORCID: 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: https://orcid.org/0000-0002-8257-0116 und Hüllermeier, Eyke ORCID: 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: 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

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

Heider, Dominik; Senge, Robin; Cheng, Weiwei und Hüllermeier, Eyke ORCID: 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: 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

28

Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke ORCID: 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: 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: 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

27

Dubois, Didier; Hüllermeier, Eyke ORCID: 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: 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

24

Hesse, Michael; Timmermann, Julia; Hüllermeier, Eyke ORCID: 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

Shaker, Ammar und Hüllermeier, Eyke ORCID: 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]

23

Garcia-Jimenez, Santiago; Bustince, Humberto; Hüllermeier, Eyke ORCID: 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: 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: 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: 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

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

20

Bustince, Humberto; Pagola, Miguel; Mesiar, Radko; Hüllermeier, Eyke ORCID: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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

Henzgen, Sascha und Hüllermeier, Eyke ORCID: 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: 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]

12

Mernberger, Marco; Moog, Daniel; Stork, Simone; Zauner, Stefan; Maier, Uwe G. und Hüllermeier, Eyke ORCID: 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: https://orcid.org/0000-0002-5983-0071; Leonardi, Giuseppe ORCID: https://orcid.org/0000-0003-0159-4851; Nomikou, Iris ORCID: https://orcid.org/0000-0002-5555-9974; Raczaszek-Leonardi, Joanna ORCID: https://orcid.org/0000-0002-3243-1468 und Hüllermeier, Eyke ORCID: 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: 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: 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: 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

Karimi, Iman; Hüllermeier, Eyke ORCID: 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: 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: 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: 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

Weber, Daniel ORCID: https://orcid.org/0000-0003-3367-5998; Heid, Stefan; Bode, Henrik; Lange, Jarren H.; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wallscheid, Oliver ORCID: 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

8

Fober, Thomas; Glinca, Gerghei; Klebe, Gerhard und Hüllermeier, Eyke ORCID: 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: 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

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Dubois, Didier; Hüllermeier, Eyke ORCID: 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

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Heid, Stefan; Weber, Daniel; Bode, Henrik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wallscheid, Oliver ORCID: 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

Henzgen, Sascha; Strickert, Marc und Hüllermeier, Eyke ORCID: 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

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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

Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: 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]

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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

Shaker, Ammar und Hüllermeier, Eyke ORCID: 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

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Hüllermeier, Eyke ORCID: 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: 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