Anzahl der Publikationen: 371
2024
Vahidi, Amihossein; Wimmer, Lisa; Gündüz, Hüseyin Anil; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Rezaei, Mina
(September 2024):
Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Lithuania, 9. - 13. September 2024.
In: Machine Learning and Knowledge Discovery in Databases Part I, LNCS
Bd. 14941
Springer Cham. S. 38-55
[PDF, 904kB]
Juergens, Mira; Meinert, Nis; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem
(Juli 2024):
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 22624-22642
[PDF, 8MB]
Herrmann, Moritz ORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Boulesteix, Anne-Laure und Bischl, Bernd
(Juli 2024):
Position: Why We Must Rethink Empirical Research in Machine Learning.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 18228-18247
[PDF, 334kB]
Vahidi, Amirhossein; Schosser, Simon; Wimmer, Lisa; Li, Yawei; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Rezaei, Mina
(Mai 2024):
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization.
12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 7. - 11. May 2024.
[PDF, 439kB]
Kolpaczki, Patrick; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Hammer, Barbara ORCID: https://orcid.org/0000-0002-0935-5591 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Mai 2024):
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2. - 4. May 2024.
In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research
Bd. 238
PMLR. S. 3520-3528
[PDF, 8MB]
Verwimp, Eli; Aljundi, Rahaf; Ben-David, Shai; Bethge, Matthias; Cossu, Andrea; Gepperth, Alexander; Hayes, Tyler L.; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Kanan, Christopher; Kudithipudi, Dhireesha; Lampert, Christoph H.; Mundt, Martin; Pascanu, Razvan; Popescu, Adrian; Tolias, Andreas S.; van de Weijer, Joost; Liu, Bing; Lomonaco, Vincenzo; Tuytelaars, Tinne und van de Ven, Gido M.
(März 2024):
Continual Learning: Applications and the Road Forward.
In: Transactions on Machine Learning Research
[PDF, 1MB]
2023
Bevanda, Petar; Beier, Max; Lederer, Armin; Sosnowski, Stefan; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Hirche, Sandra
(Dezember 2023):
Koopman Kernel Regression.
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, Louisiana, USA, 10. - 16. December 2023.
In: Proceedings of the 37th Annual Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems
Bd. 36
Curran Associates, Inc.. S. 16207-16221
[PDF, 466kB]
Fumagalli, Fabian ORCID: https://orcid.org/0000-0003-3955-3510; Muschalik, Maximilian ORCID: https://orcid.org/0000-0002-6921-0204; Kolpaczki, Patrick und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(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]
Hanselle, Jonas ORCID: https://orcid.org/0000-0002-1231-4985; Kornowicz, Jaroslaw; Heid, Stefan; Thommes, Kirsten ORCID: https://orcid.org/0000-0002-8057-7162 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Oktober 2023):
Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.
Lernen, Wissen, Daten, Analysen (LWDA), Marburg, Germany, 9-11 October 2023.
Leyer, Michael und Wichmann, Johannes (Hrsg.):
In: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings,
Bd. 3630
CEUR-WS.org. S. 430-441
[PDF, 953kB]
Brandt, Jasmin; Schede, Elias; Sharma, Shivam; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Oktober 2023):
Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration.
Lernen, Wissen, Daten, Analysen (LWDA), Marburg, Germany, 9-11 October 2023.
Leyer, Michael und Wichmann, Johannes (Hrsg.):
In: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings,
Bd. 3630
CEUR-WS.org. S. 492-505
[PDF, 447kB]
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
(18. September 2023):
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Torino, Italy, 18-22 September, 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track,
Bd. 14171
Cham: Springer. S. 428-445
[PDF, 3MB]
Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107; Demir, Caglar und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2023):
Conformal Credal Self-Supervised Learning.
Twelfth Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023), Limassol, Cyprus, September 13-15, 2023.
Papadopoulos, Harris; Nguyen, Khuong An; Boström, Henrik und Carlsson, Lars (Hrsg.):
Bd. 204
PMLR. S. 214-233
[PDF, 539kB]
Javanmardi, Alireza; Sale, Yusuf; Hofman, Paul und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2023):
Conformal Prediction with Partially Labeled Data.
Twelfth Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023), Limassol, Cyprus, September 13-15, 2023.
Papadopoulos, Harris; Nguyen, Khuong An; Boström, Henrik und Carlsson, Lars (Hrsg.):
Bd. 204
PMLR. S. 251-266
[PDF, 343kB]
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
(19. August 2023):
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).
Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023.
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence,
S. 6964-6968
Caprio, Michele; Sale, Yusuf; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Lee, Insup
(4. August 2023):
A Novel Bayes’ Theorem for Upper Probabilities.
Epi UAI 2023 - First International Workshop on Epistemic Uncertainty in Artificial Intelligence, Pittsburgh, PA, USA, August 4, 2023.
In: Epistemic Uncertainty in Artificial Intelligence,
Bd. 14523
S. 1-12
[PDF, 171kB]
Sale, Yusuf; Caprio, Michele und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(August 2023):
Is the volume of a credal set a good measure for epistemic uncertainty?
Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
Evans, Robin J. und Shpitser, Ilya (Hrsg.):
In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,
Bd. 216
PMLR. S. 1795-1804
[PDF, 1MB]
Belaid, Mohamed Karim; Bornemann, Richard; Rabus, Maximilian; Krestel, Ralf und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2023):
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark.
World Conference on Explainable Artificial Intelligence (xAI 2023), Lisboa, Portugal, 26-28 July 2023.
Longo, Luca (Hrsg.):
Cham: Springer Nature Switzerland. S. 88-109
[PDF, 507kB]
Wickert, Anna-Katharina ORCID: https://orcid.org/0000-0002-1441-2423; Damke, Clemens ORCID: https://orcid.org/0000-0002-0455-0048; Baumgärtner, Lars ORCID: https://orcid.org/0000-0002-5805-2773; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Mezini, Mira ORCID: https://orcid.org/0000-0001-6563-7537
(15. Mai 2023):
UnGoML: Automated Classification of unsafe Usages in Go.
20th International Conference on Mining Software Repositories (MSR), Melbourne, Australia, 15-16 May, 2023.
In: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR),
IEEE. S. 309-321
[PDF, 2MB]
Nguyen, Duc Anh; Levie, Ron; Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Kutyniok, Gitta
(Mai 2023):
Memorization-Dilation: Modeling Neural Collapse Under Noise.
The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 1-5 May, 2023.
[PDF, 510kB]
Mortier, Thomas ORCID: https://orcid.org/0000-0001-9650-9263; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Luca, Stijn und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(April 2023):
On the Calibration of Probabilistic Classifier Sets.
26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), Valencia, Spain, 25-27 April, 2023.
Ruiz, Francisco; Dy, Jennifer und van de Meent, Jan-Willem (Hrsg.):
In: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics,
Bd. 206
PMLR. S. 8857-8870
[PDF, 764kB]
Brandt, Jasmin; Schede, Elias; Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(7. Februar 2023):
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration.
AAAI Conference on Artificial Intelligence, Washington, DC, USA, February, 2023.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 37, Nr. 10
S. 12355-12363
[PDF, 844kB]
Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(Februar 2023):
Property-Driven Black-Box Testing of Numeric Functions.
Software Engineering 2023, Paderborn, Germany, 20-24 February 2023.
Engels, Gregor; Hebig, Regina und Tichy, Matthias (Hrsg.):
111-112
Bonn: Gesellschaft für Informatik e.V.. S. 111-112
[PDF, 213kB]
Kasneci, Enkelejda ORCID: https://orcid.org/0000-0003-3146-4484; Seßler, Kathrin; Küchemann, Stefan; Bannert, Maria; Dementieva, Daryna; Fischer, Frank; Gasser, Urs; Groh, Georg; Günnemann, Stephan; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Krusche, Stephan; Kutyniok, Gitta; Michaeli, Tilman; Nerdel, Claudia; Pfeffer, Jürgen; Poquet, Oleksandra ORCID: https://orcid.org/0000-0001-9782-816X; Sailer, Michael ORCID: https://orcid.org/0000-0001-6831-5429; Schmidt, Albrecht; Seidel, Tina ORCID: https://orcid.org/0000-0002-2578-1208; Stadler, Matthias ORCID: https://orcid.org/0000-0001-8241-8723; Weller, Jochen ORCID: https://orcid.org/0000-0002-8282-2010; Kuhn, Jochen ORCID: https://orcid.org/0000-0002-6985-3218 und Kasneci, Gjergji
(Januar 2023):
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education.
EdArXiv
Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Drees, Jan Peter ORCID: https://orcid.org/0000-0002-7982-9908 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2023):
Automated Side-Channel Attacks using Black-Box Neural Architecture Search.
18th International Conference on Availability, Reliability and Security, Benevento, Italy, 29 August - 1 September 2023.
In: Proceedings of the 18th International Conference on Availability, Reliability and Security,
New York, NY, USA: Association for Computing Machinery. S. 1-11
[PDF, 969kB]
Dellnitz, Michael; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Lücke, Marvin ORCID: https://orcid.org/0000-0001-8415-0038; Ober-Blöbaum, Sina; Offen, Christian ORCID: https://orcid.org/0000-0002-5940-8057; Peitz, Sebastian ORCID: https://orcid.org/0000-0002-3389-793X und Pfannschmidt, Karlson ORCID: https://orcid.org/0000-0001-9407-7903
(2023):
Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning.
In: SIAM Journal on Scientific Computing, Bd. 45, Nr. 2:
A579-A595
[PDF, 671kB]
Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Özdogan, Miran und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2023):
Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification.
Genetic and Evolutionary Computation Conference (GECCO '23), Lisbon, Portugal, July 15-19, 2023.
In: Proceedings of the Genetic and Evolutionary Computation Conference,
New York, NY, USA: Association for Computing Machinery.
597–605
Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(2023):
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
40th International Conference on Machine Learning (ICML 2023), Hawaii, USA, 23-29 July, 2023.
Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan und Scarlett, Jonathan (Hrsg.):
In: Proceedings of the 40th International Conference on Machine Learning,
Bd. 202
PMLR. S. 2078-2091
[PDF, 400kB]
Wimmer, Lisa; Sale, Yusuf; Hofman, Paul; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2023):
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
Evans, Robin J. und Shpitser, Ilya (Hrsg.):
In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,
Bd. 216
PMLR. S. 2282-2292
[PDF, 1MB]
2022
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Destercke, Sébastien und Shaker, Mohammad Hossein
(August 2022):
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison.
38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Netherlands, 1-5 August 2022.
Cussens, James und Zhang, Kun (Hrsg.):
In: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence,
Bd. 180
PMLR. S. 548-557
[PDF, 426kB]
Mortier, Thomas ORCID: https://orcid.org/0000-0001-9650-9263; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Dembczyński, Krzysztof und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(August 2022):
Set-valued prediction in hierarchical classification with constrained representation complexity.
38th Conference on Uncertainty in Artificial Intelligence, Eindhoven, Netherlands, 1-5 August 2022.
Cussens, James und Zhang, Kun (Hrsg.):
In: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence,
Bd. 180
PMLR. S. 1392-1401
[PDF, 600kB]
Bengs, Viktor; Saha, Aadirupa und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2022):
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models.
39th International Conference on Machine Learning, Baltimore, MD, USA, July 17-23 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39th International Conference on Machine Learning,
Bd. 162
PMLR. S. 1764-1786
[PDF, 3MB]
Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Ramaswamy, Arunselvan ORCID: https://orcid.org/0000-0001-7547-8111; Drees, Jan Peter ORCID: https://orcid.org/0000-0002-7982-9908; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Priesterjahn, Claudia ORCID: https://orcid.org/0000-0001-7236-9411 und Jager, Tibor ORCID: https://orcid.org/0000-0002-3205-7699
(Februar 2022):
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols.
14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Virtual, February 3-5.
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence,
Bd. 2
S. 152-163
[PDF, 592kB]
Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(2022):
Property-driven testing of black-box functions.
10th International Conference on Formal Methods in Software Engineering (FormaliSE '22), Pittsburgh Pennsylvania, May 18 - 22, 2022.
In: Proceedings of the IEEE/ACM 10th International Conference on Formal Methods in Software Engineering,
New York: Association for Computing Machinery. S. 113-123
2021
Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(7. Dezember 2021):
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits.
Advances in Neural Information Processing Systems, Virtual, December 7 2021.
Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S. und Vaughan, J. Wortman (Hrsg.):
Bd. 34
Curran Associates, Inc.. S. 25904-25916
[PDF, 516kB]
Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Dezember 2021):
Credal Self-Supervised Learning.
35th Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, December 7, 2021.
Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S. und Vaughan, J. Wortman (Hrsg.):
Advances in Neural Information Processing Systems.
Bd. 34
Curran Associates, Inc.. S. 14370-14382
Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107; Nommensen, Nils; Ewerth, Ralph und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(17. November 2021):
Robust Regression for Monocular Depth Estimation.
Asian Conference on Machine Learning, Virtual, November 17 - 19, 2021.
Balasubramanian, Vineeth N. und Tsang, Ivor (Hrsg.):
In: Proceedings of The 13th Asian Conference on Machine Learning,
Bd. 157
PMLR. S. 1001-1016
[PDF, 451kB]
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
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
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
Springstein, Matthias; Schneider, Stefanie ORCID: https://orcid.org/0000-0003-4915-6949; Rahnama, Javad; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Kohle, Hubertus ORCID: https://orcid.org/0000-0003-3162-1304 und Ewerth, Ralph ORCID: https://orcid.org/0000-0003-0918-6297
(Oktober 2021):
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities.
29th ACM International Conference on Multimedia, Virtual, October 20 - 24, 2021.
In: Proceedings of the 29th ACM International Conference on Multimedia,
S. 2801-2803
Kolpaczki, Patrick; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2021):
Identifying Top-k Players in Cooperative Games via Shapley Bandits.
LWDA’21: Lernen, Wissen, Daten, Analysen, Munich, Germany, 1. - 3. September, 2021.
In: Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR,
Bd. 2993
S. 133-144
[PDF, 805kB]
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]
Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor; Brandt, Jasmin und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(27. Juli 2021):
Testification of Condorcet Winners in dueling bandits.
Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, Virtual, July 27-30, 2021.
de Campos, Cassio und Maathuis, Marloes H. (Hrsg.):
In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence,
Bd. 161
PMLR. S. 1195-1205
[PDF, 875kB]
Tornede, Tanja ORCID: https://orcid.org/0000-0001-9954-462X; 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
(Juli 2021):
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance.
GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion, Lille, France, 10 - 14 July, 2021.
Chicano, Francisco (Hrsg.):
In: Proceedings of the Genetic and Evolutionary Computation Conference,
New York, NY: Association for Computing Machinery. S. 368-376
Lienen, Julian; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Ewerth, Ralph und Nommensen, Nils
(Juni 2021):
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 20-25 June 2021.
In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Piscataway, NJ: IEEE. S. 14590-14599
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
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
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
Bresson, Roman; Cohen, Johanne; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Labreuche, Christophe und Sebag, Michèle
(Januar 2021):
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals.
Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan (Virtual), January 7-15, 2021.
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence,
S. 1984-1991
Schneider, Stefanie ORCID: https://orcid.org/0000-0003-4915-6949; Springstein, Matthias; Rahnama, Javad; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Ewerth, Ralph ORCID: https://orcid.org/0000-0003-0918-6297 und Kohle, Hubertus ORCID: https://orcid.org/0000-0003-3162-1304
(2021):
The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects.
INFORMATIK 2020 - Back to the Future, Virtual, 28 September - 2 October 2020.
Reussner, Ralf H.; Koziolek, Anne und Heinrich, Robert (Hrsg.):
In: INFORMATIK 2020,
1355-1364
Bonn: Gesellschaft für Informatik.
[PDF, 1MB]
2020
Damke, Clemens ORCID: https://orcid.org/0000-0002-0455-0048; Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
A Novel Higher-order Weisfeiler-Lehman Graph Convolution.
12th Asian Conference on Machine Learning (ACML 2020), Bangkok, Thailand, 18-20 November 2020.
Jialin Pan, Sinno und Sugiyama, Masashi (Hrsg.):
In: Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020),
Bd. 129
S. 49-64
[PDF, 771kB]
Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Werner, Stefan; Mohr, Felix und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis.
12th Asian Conference on Machine Learning (ACML 2020), Bangkok, Thailand, 18-20 November 2020.
Jialin Pan, Sinno und Sugiyama, Masashi (Hrsg.):
In: Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020),
Bd. 129
S. 737-752
[PDF, 390kB]
Heid, Stefan; Ramaswamy, Arunselvan und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
Constrained Multi-Agent Optimization with Unbounded Information Delay.
30. Workshop Computational Intelligence, Berlin, Germany, 26. – 27. November 2020.
Schulte, H.; Hoffmann, F. und Mikut, R. (Hrsg.):
In: Proceedings. 30. Workshop Computational Intelligence Berlin, 26. – 27. November 2020, Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH)
Bd. 29
Karlsruhe: KIT Scientific Publishing. S. 247-261
[PDF, 369kB]
Dari, Simone und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
Reliable Driver Gaze Classification based on Conformal Prediction.
30. Workshop Computational Intelligence, Berlin, Germany, 26. – 27. November 2020.
Schulte, H.; Hoffmann, F. und Mikut, R. (Hrsg.):
In: Proceedings. 30. Workshop Computational Intelligence Berlin, 26. – 27. November 2020, Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH)
Bd. 29
Karlsruhe: KIT Scientific Publishing. S. 1-15
[PDF, 516kB]
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
Tornede, Tanja; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Mohr, Felix ORCID: https://orcid.org/0000-0002-9293-2424 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2020):
AutoML for Predictive Maintenance: One Tool to RUL Them All.
Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020.
Gama, Joao (Hrsg.):
In: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, Septem,
Bd. 1325
Cham: Springer. S. 106-118
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
Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2020):
Preselection Bandits.
37th International Conference on Machine Learning, Virtual, July 12-18 2020.
III, Hal Daumé und Singh, Aarti (Hrsg.):
In: Proceedings of the 37th International Conference on Machine Learning,
Bd. 119
PMLR. S. 778-787
[PDF, 630kB]
Rahnama, Javad und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(5. Juni 2020):
Learning Tversky Similarity.
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, 15-19 June 2020.
In: Information Processing and Management of Uncertainty in Knowledge-Based Systems,
Bd. 1238
Cham: Springer. S. 269-280
[PDF, 418kB]
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
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]
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
2019
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
(November 2019):
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. , KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.
29. Workshop Computational Intelligence, Dortmund, Germany, 28. - 29. November 2019.
Hoffmann, Frank; Hüllermeier, Eyke und Mikut, Ralf (Hrsg.):
In: Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019,
Karlsruhe: KIT Scientific Publishing. S. 135-146
[PDF, 812kB]
Mohr, Felix; 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
(September 2019):
From Automated to On-The-Fly Machine Learning.
In: David, Klaus; Geihs, Kurt; Lange, Martin und Stumme, Gerd (Hrsg.): (2021):
Informatik 2019. 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Konferenzbeiträge, der 49. Jahrestagung der Gesellschaft für Informatik, 23.- 26.9.2019 Kassel, Deutschland. Bonn: Gesellschaft für Informatik. S. 273-274
[PDF, 123kB]
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
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
Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.
11th Asian Conference on Machine Learning (ACML 2019), Nagoya, Japan, November 17 - 19, 2019.
Wee Sun, Lee und Suzuki, Taiji (Hrsg.):
In: Proceedings of The Eleventh Asian Conference on Machine Learning,
Bd. 101
S. 1110-1125
[PDF, 2MB]
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
2018
Mohr, Felix; Lettmann, Theodor; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wever, Marcel Dominik ORCID: https://orcid.org/0000-0001-9782-6818
(Juni 2018):
Programmatic Task Network Planning.
28th International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018-06-24 – 2018-06-29.
Bercher, Pascal; Höller, Daniel; Biundo, Susanne und Alford, Ron (Hrsg.):
In: Proceedings of the 1st ICAPS Workshop on Hierarchical Planning,
S. 31-39
Abiteboul, Serge; Arenas, Marcelo; Barceló, Pablo; Bienvenu, Meghyn; Calvanese, Diego; David, Claire; Hull, Richard; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Kimelfeld, Benny; Libkin, Leonid; Martens, Wim; Milo, Tova; Murlak, Filip; Neven, Frank; Ortiz, Magdalena; Schwentick, Thomas; Stoyanovich, Julia; Su, Jianwen; Suciu, Dan; Vianu, Victor und Yi, Ke
(April 2018):
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151).
In: Dagstuhl Manifestos, Bd. 7, Nr. 1: S. 1-29
[PDF, 519kB]
Mohr, Felix; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Faez, Amin
(2018):
(WIP) Towards the Automated Composition of Machine Learning Services.
2018 IEEE International Conference on Services Computing (SCC), San Francisco, CA, USA, 2-7 July 2018.
In: 2018 IEEE International Conference on Services Computing : IEEE SCC 2018 : part of the 2018 IEEE World Congress on Services : 2-7 July 2018, San Francisco, California, USA : proceedings,
Piscataway, NJ: IEEE. S. 241-244
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
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
Nguyen, Vu-Linh; Destercke, Sébastien; Masson, Marie-Hélène und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.
Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 13-19 July 2018.
Lang, Jérôme (Hrsg.):
In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence,
Menlo Park, County of San Mateo, California: S. 5089-5095
Mencía, Eneldo Loza; Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Rapp, Michael ORCID: https://orcid.org/0000-0001-8570-8240
(2018):
Learning Interpretable Rules for Multi-Label Classification.
In: Jair Escalante, Hugo; Escalera, Sergio; Guyon, Isabelle; Baró, Xavier; Güçlütürk, Yağmur; Güçlü, Umut und Gerven, Marcel van (Hrsg.):
Explainable and Interpretable Models in Computer Vision and Machine Learning. The Springer Series on Challenges in Machine Learning, Cham: Springer. S. 81-113
El Mesaoudi-Paul, Adil; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Busa-Fekete, Róbert
(2018):
Ranking Distributions based on Noisy Sorting.
35th International Conference on Machine Learning, Stockholm, Sweden, 10-15 July 2018.
Dy, Jennifer und Krause, Andreas (Hrsg.):
In: Proceedings of the 35th International Conference on Machine Learning. ICML 2018,
Bd. 80
S. 3472-3480
[PDF, 587kB]
Ahmadi Fahandar, Mohsen und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Learning to rank based on analogical reasoning.
32nd AAAI Conference on Artificial Intelligence, New Orleans, Louisianna, USA, 2-7 February 2018.
In: AAAI'18/IAAI'18/EAAI'18: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Proceedings of the Thirty-Second AAAI Conference on Artificial,
AAAI Press: Palo Alto, California, USA. S. 2951-2958
2017
Seemann, Nina; Merten, Marie-Luis; Geierhos, Michaela; Tophinke, Doris und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(August 2017):
Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German.
Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Vancouver, Canada, August, 2017.
In: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature,
Vancouver, Canada: Association for Computational Linguistics. S. 40-45
[PDF, 125kB]
Ahmadi Fahandar, Mohsen; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Couso, Inés
(August 2017):
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.
34th International Conference on Machine Learning, Sydney, Australia.
Precup, Doina und Teh, Yee Whye (Hrsg.):
In: Proceedings of the 34 th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017,
Bd. 70
[PDF, 269kB]
Ewerth, Ralph; Springstein, Matthias; Müller, Eric; Balz, Alexander; Gehlhaar, Jan; Naziyok, Tolga; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Estimating relative depth in single images via rankboost.
2017 IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, 10-14 July 2017.
In: 2017 IEEE International Conference on Multimedia and Expo (ICME) : Hong Kong, 10-14 July 2017,
Piscataway, NJ: IEEE. S. 919-924
Shaker, Ammar; Heldt, Waleri und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Learning TSK Fuzzy Rules from Data Streams.
In: Ceci, Michelangelo; Hollmén, Jaakko; Džeroski, Sašo; Todorovsk, Ljupčo; Vens, Celine und Džeroski, Sašo (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 10535. S. 559-574
[PDF, 351kB]
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
Wever, Marcel Dominik ORCID: https://orcid.org/0000-0001-9782-6818; Mohr, Felix und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization.
27th Workshop Computational Intelligence, Dortmund, 23. – 24. November 2017.
Hoffmann, F.; Hüllermeier, Eyke und Mikut, R. (Hrsg.):
In: Proceedings. 27. Workshop Computational Intelligence Dortmund, 23. – 24. November 2017,
Karlsruhe: KIT Scientific Publishing. S. 149-166
[PDF, 657kB]
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
Czech, Mike; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Jakobs, Marie-Christine und Wehrheim, Heike
(2017):
Predicting rankings of software verification tools.
3rd ACM SIGSOFT International Workshop on Software Analytics, Paderborn, Germany, 4 September 2017.
Baysal, Olga (Hrsg.):
In: Proceedings of the 3rd ACM SIGSOFT International Workshop on Software Analytics,
ACM: New York, NY. S. 23-26
2016
Abiteboul, Serge; Arenas, Marcelo; Barceló, Pablo; Bienvenu, Meghyn; Calvanese, Diego; David, Claire; Hull, Richard; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Kimelfeld, Benny; Libkin, Leonid; Martens, Wim; Milo, Tova; Murlak, Filip; Neven, Frank; Ortiz, Magdalena; Schwentick, Thomas; Stoyanovich, Julia; Su, Jianwen; Suciu, Dan; Vianu, Victor und Yi, Ke
(Dezember 2016):
Research Directions for Principles of Data Management (Abridged).
In: SIGMOD Record, Bd. 45, Nr. 4:
5–17
Jasinska, Kalina; Dembczynski, Krzysztof; Busa-Fekete, Róbert; Pfannschmidt, Karlson; Klerx, Timo und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Extreme F-measure maximization using sparse probability estimates.
ICML'16: 33rd International Conference on International Conference on Machine Learning, New York, NY USA, June 19 - 24, 2016.
Balcan, Maria Florina und Weinberger, Kilian Q. (Hrsg.):
In: Proceedings of the 33rd International Conference on International Conference on Machine Learning,
Bd. 22
New York: Association for Computing Machinery. S. 1435-1444
[PDF, 719kB]
Pfannschmidt, Karlson; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Held, Susanne und Neiger, Reto
(2016):
Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts.
In: Carvalho, Joao Paulo; Lesot, Marie-Jeanne; Kaymak, Uzay; Vieira, Susana; Bouchon-Meunier, Bernadette und Yager, Ronald R. (Hrsg.):
Information Processing and Management of Uncertainty in Knowledge-Based Systems. 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I. Communications in Computer and Information Science, Bd. 610. Cham: Springer. S. 450-461
[PDF, 519kB]
Dembczyński, Krzysztof; Kotłowski, Wojciech; Waegeman, Willem; Busa-Fekete, Róbert und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Consistency of Probabilistic Classifier Trees.
In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe und Vreeken, Jilles (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II. Lecture Notes in Computer Science, Bd. 9852. Cham: Springer. S. 511-526
[PDF, 322kB]
Schäfer, Dirk und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Plackett-Luce Networks for Dyad Ranking.
LWDA 2016: Lernen, Wissen, Daten, Analysen 2016, Potsdam, Germany, September 12-14, 2016.
Krestel, Ralf; Mottin, Davide und Müller, Emmanuel (Hrsg.):
In: Proceedings of the Conference "Lernen, Wissen, Daten, Analysen",
Bd. 22
S. 323-334
[PDF, 461kB]
2015
Ewerth, Ralph; Balz, Alexander; Gehlhaar, Jan; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2015):
Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.
In: Hoffmann, Frank und Hüllermeier, Eyke (Hrsg.):
Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27. November 2015. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie, Bd. 54. Karlsruhe: KIT Scientific Publishing. S. 235-239
[PDF, 494kB]
Szörényi, Balázs; Busa-Fekete, Róbert; Weng, Paul und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2015):
Qualitative Multi-Armed Bandits: A Quantile-Based Approach.
32nd International Conference on Machine Learning, Lille, France, July 6 - 11, 2015.
In: Proceedings of the 32nd International Conference on Machine Learning,
Bd. 37
S. 1660-1668
[PDF, 449kB]
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
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
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
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
Szörényi, Baiÿzs; Busa-Fekete, Róbert; Paul, Adil und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Online rank elicitation for Plackett-Luce: a dueling bandits approach.
NIPS'15: 28th International Conference on Neural Information Processing Systems, Montreal Canada, December 7 - 12, 2015.
Cortes, C.; Lee, D. D.; Sugiyama, M. und Garnett, R. (Hrsg.):
In: NIPS'15: Proceedings of the 28th International Conference on Neural Information Processing Systems,
Bd. 1
Cambridge, MA: MIT Press. S. 604-612
[PDF, 534kB]
Szörényi, Baiÿzs; Busa-Fekete, Róbert; Paul, Adil und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Online F-measure optimization.
NIPS'15: 28th International Conference on Neural Information Processing Systems, Montreal Canada, December 7 - 12, 2015.
Cortes, C.; Lee, D. D.; Sugiyama, M. und Garnett, R. (Hrsg.):
In: NIPS'15: Proceedings of the 28th International Conference on Neural Information Processing Systems,
Bd. 1
Cambridge, MA: MIT Press. S. 595-603
[PDF, 585kB]
2014
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
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
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
Busa-Fekete, Róbert; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Szörényi, Balázs
(2014):
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows.
31st International Conference on Machine Learning (ICML 2014), Beijing, China, 21-26 June, 2014.
Xing, Eric P. und Jebara, Tony (Hrsg.):
In: Proceedings of the 31st International Conference on Machine Learning,
Bd. 32, Nr. 2
Bejing, China: PMLR. S. 1071-1079
[PDF, 569kB]
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.
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
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
2013
Nasiri, Maryam; Fober, Thomas; Senge, Robin und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Fuzzy pattern trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of color yield in polyester dyeing.
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), Edmonton, AB, Canada, 24-28 June 2013.
In: Proceedings of the 2013 Joint IFSA World Congress NAFIPS Annual Meeting (IFSAI NAFIPS), Edmonton, Canada, June 24-28, 2013,
Piscataway, NJ: IEEE. S. 715-721
Busa-Fekete, Róbert; Szörényi, Balázs; Cheng, Weiwei; Weng, Paul und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Top-k Selection based on Adaptive Sampling of Noisy Preferences.
ICML'13: 30th International Conference on International Conference on Machine Learning, Atlanta GA USA, June 16 - 21, 2013.
Dasgupta, Sanjoy und McAllester, David (Hrsg.):
In: Proceedings of the 30th International Conference on International Conference on Machine Learning,
Bd. 28, Nr. 3
S. 1094-1102
[PDF, 434kB]
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
Dembczyński, Krzysztof; Jachnik, Arkadiusz; Kotlowski, Wojciech; Waegeman, Willem und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.
ICML'13: 30th International Conference on International Conference on Machine Learning, Atlanta GA USA, June 16 - 21, 2013.
Dasgupta, Sanjoy und McAllester, David (Hrsg.):
In: Proceedings of the 30th International Conference on Machine Learning,
Bd. 28, Nr. 3
S. 1030-1038
[PDF, 378kB]
Szarvas, György; Busa-Fekete, Róbert und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Learning to Rank Lexical Substitutions.
2013 Conference on Empirical Methods in Natural Language Processing, Seattle, Washington, USA, 18-21 October 2013.
In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing,,
Association for Computational Linguistics. S. 1926-1932
[PDF, 139kB]
Shaker, Ammar und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Event history analysis on data streams: An application to earthquake occurence.
RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, September 27, 2013.
Krempl, Georg; Zliobaite, Indre; Wang, Yin und Forman, Georg (Hrsg.):
In: Real-World Challenges for Data Stream Mining : Proceedings of the 1st International Workshop on Real-World Challenges for Data Stream Mining, ReaiStream 2013,
Magdeburg: Universität Magdeburg. S. 38-41
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
Senge, Robin; Del Coz, Juan José und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification.
In: Spiliopoulou, Myra; Schmidt-Thieme, Lars und Janning, Ruth (Hrsg.):
Data Analysis, Machine Learning and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization, Cham: Springer. S. 163-170
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]
2012
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]
Dembczyński, Krzysztof; Kotłowski, Wojciech und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2012):
Consistent multilabel ranking through univariate loss minimization.
ICML'12: 29th International Conference on Machine Learning, Edinburgh, Scotland, UK, 26 June 2012- 1 July 2012.
Langford, John und Pineau, Joelle (Hrsg.):
In: Proceedings of the Twenty-Ninth International Conference on Machine Learning,
S. 1347-1354
[PDF, 425kB]
Leinweber, Matthias; Baumgärtner, Lars; Mernberger, Marco; Fober, Thomas; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Klebe, Gerhard und Freisleben, Bernd
(2012):
GPU-based Cloud computing for comparing the structure of protein binding sites.
2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST), Campione d'Italia, Italy, 18-20 June 2012.
In: Proceedings of the 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST) - Complex Environment Engineering Municipal Casino, Campione d’Italia (Italy) 18 – 20 June 2012,
Piscataway, NJ: IEEE. S. 1-6
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
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
Cheng, Weiwei; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Waegeman, Willem und Welker, Volkmar
(2012):
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models.
25. NIPS 2012, Lake Tahoe, Nevada, USA, December 3-8, 2012.
Advances in Neural Information Processing Systems.
Bd. 25
S. 2510-2518
[PDF, 252kB]
2011
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
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
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
2010
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
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
2009
Hoffmann, Frank und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Dezember 2009):
Multiple Geometrical Alignments for the Analysis of Protein Active Sites.
19. Workshop Computational Intelligence, Dortmund, 2. - 4. Dezember 2009.
Hoffmann, Frank und Hüllermeier, Eyke (Hrsg.):
In: Proceedings. 19. Workshop Computational Intelligence, Dortmund, 2. - 4. Dezember 2009, Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH)
Bd. 29
Karlsruhe: KIT Scientific Publishing. S. 237-255
[PDF, 453kB]
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
Boukhris, Imen; Elouedi, Zied; Fober, Thomas; Mernberger, Marco und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection.
2009 Ninth International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 30 Nov.-2 Dec. 2009.
In: 2009 Ninth International Conference on Intelligent Systems Design and Applications,
Piscataway, NJ: IEEE. S. 1245-1250
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
Cheng, Weiwei; Hühn, Jens und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Decision tree and instance-based learning for label ranking.
ICML '09: 26th Annual International Conference on Machine Learning, Montreal Quebec, Canada, June 14 - 18, 2009.
Danyluk, Andrea (Hrsg.):
In: Proceedings of the 26th Annual International Conference on Machine Learning,
New York, NY: Association for Computing Machinery. S. 161-168
Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification.
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, Darmstadt, Germany, 21.-23. September 2009.
Hartmann, Melanie und Janssen, Frederik (Hrsg.):
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. S. 22-29
Fober, Thomas; Mernberger, Marco; Melnikov, Vitalik; Moritz, Ralph und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites.
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, Darmstadt, Germany, 21.-23. September 2009.
Hartmann, Melanie und Janssen, Frederik (Hrsg.):
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. S. 30-36
Senge, Robin und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, Darmstadt, Germany, 21.-23. September 2009.
Hartmann, Melanie und Janssen, Frederik (Hrsg.):
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. S. 105-110
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
2008
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
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
2007
Beringer, Jurgen und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2007):
Adaptive Optimization of the Number of Clusters in Fuzzy Clustering.
2007 IEEE International Fuzzy Systems Conference, London, UK, 23-26 July 2007.
In: IEEE International Fuzzy Systems Conference, 2007: FUZZ-IEEE 2007 ; 23 - 26 July 2007, London, United Kingdom,
Piscataway, NJ: IEEE. S. 1-6
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
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
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
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
2006
Bade, Korinna; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Nurnberger, Andreas
(2006):
Hierarchical Classification by Expected Utility Maximization.
6th IEEE International Conference on Data Mining, Hong Kong, China, 18-22 December, 2006.
Clifton, Christopher W. (Hrsg.):
In: Sixth IEEE International Conference on Data Mining : ICDM 2006 ; 18-22 December 2006, Hong Kong,
Los Alamitos, Calif.: IEEE Computer Society. S. 43-52
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
2005
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
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
2004
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
2003
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
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
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
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
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
2002
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
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
2001
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
1999
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
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