Number of items at this level: 347.
2023
Bengs, Viktor
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and 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.
In: Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan and Scarlett, Jonathan (eds.) :
Proceedings of the 40th International Conference on Machine Learning.
Vol. 202.
PMLR. pp. 2078-2091
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 and Tierney, Kevin
(7. February 2023):
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration.
AAAI Conference on Artificial Intelligence, Washington, DC, USA, February, 2023.
In:
Proceedings of the AAAI Conference on Artificial Intelligence.
Vol. 37.
pp. 12355-12363
Gupta, Pritha
ORCID: https://orcid.org/0000-0002-7277-4633; Drees, Jan Peter
ORCID: https://orcid.org/0000-0002-7982-9908 and 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. pp. 1-11
Javanmardi, Alireza; Sale, Yusuf; Hofman, Paul and 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.
In: Papadopoulos, Harris; Nguyen, Khuong An; Boström, Henrik and Carlsson, Lars (eds.) :
Vol. 204.
PMLR. pp. 251-266
Lienen, Julian
ORCID: https://orcid.org/0000-0003-2162-8107; Demir, Caglar and 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.
In: Papadopoulos, Harris; Nguyen, Khuong An; Boström, Henrik and Carlsson, Lars (eds.) :
Vol. 204.
PMLR. pp. 214-233
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 and 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.
In: Ruiz, Francisco; Dy, Jennifer and van de Meent, Jan-Willem (eds.) :
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics.
Vol. 206.
PMLR. pp. 8857-8870
Sale, Yusuf; Caprio, Michele and 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.
In: Evans, Robin J. and Shpitser, Ilya (eds.) :
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence.
Vol. 216.
PMLR. pp. 1795-1804
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 and 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.
pp. 6964-6968
Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Wehrheim, Heike
(February 2023):
Property-Driven Black-Box Testing of Numeric Functions.
Software Engineering 2023, Paderborn, Germany, 20-24 February 2023.
In: Engels, Gregor; Hebig, Regina and Tichy, Matthias (eds.) :
Bonn: Gesellschaft für Informatik e.V.. pp. 111-112
[PDF, 213kB]
Tornede, Tanja
ORCID: https://orcid.org/0000-0001-9954-462X; Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186; Fehring, Lukas
ORCID: https://orcid.org/0000-0001-8057-4650; Gehring, Lukas; Graf, Helena
ORCID: https://orcid.org/0000-0001-9447-0609; Hanselle, Jonas
ORCID: https://orcid.org/0000-0002-1231-4985; Mohr, Felix
ORCID: https://orcid.org/0000-0002-9293-2424 and Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818
(20. April 2023):
PyExperimenter: Easily distribute experiments and track results.
In: Journal of Open Source Software, Vol. 8, No. 84: p. 5149
Wimmer, Lisa; Sale, Yusuf; Hofman, Paul; Bischl, Bernd
ORCID: https://orcid.org/0000-0001-6002-6980 and 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.
In: Evans, Robin J. and Shpitser, Ilya (eds.) :
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence.
Vol. 216.
PMLR. pp. 2282-2292
2022
Bengs, Viktor
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Waegeman, Willem
ORCID: https://orcid.org/0000-0002-5950-3003
(28. November 2022):
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation.
Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022.
In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle and Cho, Kyunghyun (eds.) :
Bengs, Viktor; Saha, Aadirupa and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(July 2022):
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models.
39th International Conference on Machine Learning, Baltimore, MD, USA, July 17-23 2022.
In: Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang and Sabato, Sivan (eds.) :
Proceedings of the 39th International Conference on Machine Learning.
Vol. 162.
PMLR. pp. 1764-1786
Brandt, Jasmin; Bengs, Viktor
ORCID: https://orcid.org/0000-0001-6988-6186; Haddenhorst, Björn
ORCID: https://orcid.org/0000-0002-4023-6646 and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(28. November 2022):
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget.
Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022.
In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle and Cho, Kyunghyun (eds.) :
2021
Ahmadi Fahandar, Mohsen and 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.
Vol. 12695.
Vol. 12695.
Cham: Springer. pp. 76-88
Damke, Clemens
ORCID: https://orcid.org/0000-0002-0455-0048 and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(11. October 2021):
Ranking Structured Objects with Graph Neural Networks.
24th International Conference on Discovery Science (DS 2021), Halifax, NS, Canada, Virtual, October 11–13, 2021.
In: Soares, Carlos and Torgo, Luis (eds.) :
Proceedings of the 24th International Conference on Discovery Science. Lecture Notes in Computer Science,
Vol. 12986.
Vol. 12986.
Cham: Springer. pp. 166-180
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 and 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.
In: Carlini, Nicholas (ed.) :
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security.
Vol. 22.
New York: Association for Computing Machinery. pp. 169-180
Feldhans, Robert; Wilke, Adrian; Heindorf, Stefan; Shaker, Mohammad Hossein; Hammer, Barbara; Ngonga Ngomo, Axel-Cyrille and 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.
Vol. 13113.
Vol. 13113.
Cham: Springer. pp. 107-118
Haddenhorst, Björn
ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(7. December 2021):
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits.
Advances in Neural Information Processing Systems, Virtual, December 7 2021.
In: Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S. and Vaughan, J. Wortman (eds.) :
Vol. 34.
Curran Associates, Inc.. pp. 25904-25916
Hanselle, Jonas; Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818 and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(May 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 and Chakraborty, Tanmoy (eds.) : (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, Vol. 12712. Cham: Springer. pp. 152-163
Kolpaczki, Patrick; Bengs, Viktor and 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.
Vol. 2993.
pp. 133-144
Lienen, Julian
ORCID: https://orcid.org/0000-0003-2162-8107 and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(December 2021):
Credal Self-Supervised Learning.
35th Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, December 7, 2021.
In: Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S. and Vaughan, J. Wortman (eds.) :
Advances in Neural Information Processing Systems.
Vol. 34.
Curran Associates, Inc.. pp. 14370-14382
Rapp, Michael
ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes; Nguyen, Vu-Linh and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(February 2021):
Learning Gradient Boosted Multi-label Classification Rules.
In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey and Valera, Isabel (eds.) :
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, Vol. 12459. Cham: Springer. pp. 124-140
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 and 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, Vol. 13, No. 3: pp. 717-728
[PDF, 1MB]
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 and 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.
In: Reussner, Ralf H.; Koziolek, Anne and Heinrich, Robert (eds.) :
INFORMATIK 2020.
Bonn: Gesellschaft für Informatik.
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 and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(July 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.
In: Chicano, Francisco (ed.) :
Proceedings of the Genetic and Evolutionary Computation Conference.
New York, NY: Association for Computing Machinery. pp. 368-376
2020
Bengs, Viktor and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(July 2020):
Preselection Bandits.
37th International Conference on Machine Learning, Virtual, July 12-18 2020.
In: III, Hal Daumé and Singh, Aarti (eds.) :
Proceedings of the 37th International Conference on Machine Learning.
Vol. 119.
PMLR. pp. 778-787
Brinker, Klaus and 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, Vol. 11908. Cham: Springer. pp. 204-219
Dari, Simone and 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.
In: Schulte, H.; Hoffmann, F. and Mikut, R. (eds.) :
Proceedings. 30. Workshop Computational Intelligence Berlin, 26. – 27. November 2020. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH),
Vol. 29.
Karlsruhe: KIT Scientific Publishing. pp. 1-15
El Mesaoudi-Paul, Adil; Weiß, Dimitri; Bengs, Viktor; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Tierney, Kevin
(May 2020):
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.
In: Kotsireas, Ilias S. and Pardalos, Panos M. (eds.) :
Learning and Intelligent Optimization. 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. Lecture Notes in Computer Science, Vol. 12096. Cham: Springer. pp. 216-232
Hanselle, Jonas; Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818 and 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.
In: Schmid, Ute; Klügl, Franziska and Wolter, Diedrich (eds.) :
KI 2020: Advances in Artificial Intelligence, Proceedings. Lecture Notes in Computer Science,
Vol. 12325.
Vol. 12325.
Cham: Springer. pp. 59-72
Heid, Stefan; Ramaswamy, Arunselvan and 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.
In: Schulte, H.; Hoffmann, F. and Mikut, R. (eds.) :
Proceedings. 30. Workshop Computational Intelligence Berlin, 26. – 27. November 2020. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH),
Vol. 29.
Karlsruhe: KIT Scientific Publishing. pp. 247-261
Rahnama, Javad and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(5. June 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.
Vol. 1238.
Vol. 1238.
Cham: Springer. pp. 269-280
Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818 and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(October 2020):
Extreme Algorithm Selection with Dyadic Feature Representation.
In: Appice, Annalisa; Tsoumakas, Grigorios; Manolopoulos, Yannis and Matwin, Stan (eds.) : (2021):
Discovery Science. 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings. Lecture Notes in Computer Science, Vol. 12323. Cham: Springer. pp. 309-324
Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818; Werner, Stefan; Mohr, Felix and 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.
In: Jialin Pan, Sinno and Sugiyama, Masashi (eds.) :
Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020).
Vol. 129.
pp. 737-752
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 and 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.
In: Gama, Joao (ed.) :
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.
Vol. 1325.
Cham: Springer. pp. 106-118
Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix and 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 and Krempl, Georg (eds.) : (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, Vol. 12080. New York, NY: Association for Computing Machinery. pp. 561-573
[PDF, 425kB]
2019
Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Analogy-Based Preference Learning with Kernels.
In: Benzmüller, Christoph and Stuckenschmidt, Heiner (eds.) :
KI 2019: Advances in Artificial Intelligence. 42nd German Conference on AI, Kassel, Germany, September 23–26, 2019, Proceedings. Lecture Notes in Computer Science, Vol. 11793. Cham: Springer. pp. 34-47
Ahmadi Fahandar, Mohsen and 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 and Džeroski, Sašo (eds.) :
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Vol. 11828. Cham: Springer. pp. 279-289
Mohr, Felix; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186 and 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 and Stumme, Gerd (eds.) : (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. pp. 273-274
Nguyen, Vu-Linh; Destercke, Sébastien and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Epistemic Uncertainty Sampling.
In: Kralj Novak, Petra; Šmuc, Tomislav and Džeroski, Sašo (eds.) :
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Vol. 11828. pp. 72-86
Tornede, Alexander
ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818 and 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.
In: Hoffmann, Frank; Hüllermeier, Eyke and Mikut, Ralf (eds.) :
Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019.
Karlsruhe: KIT Scientific Publishing. pp. 135-146
2018
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 and Yi, Ke
(April 2018):
Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151).
In: Dagstuhl Manifestos, Vol. 7, No. 1: pp. 1-29
Ahmadi Fahandar, Mohsen and 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. pp. 2951-2958
Mencía, Eneldo Loza; Fürnkranz, Johannes; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and 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 and Gerven, Marcel van (eds.) :
Explainable and Interpretable Models in Computer Vision and Machine Learning. The Springer Series on Challenges in Machine Learning, Cham: Springer. pp. 81-113
Mohr, Felix; Lettmann, Theodor; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Wever, Marcel Dominik
ORCID: https://orcid.org/0000-0001-9782-6818
(June 2018):
Programmatic Task Network Planning.
28th International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018-06-24 – 2018-06-29.
In: Bercher, Pascal; Höller, Daniel; Biundo, Susanne and Alford, Ron (eds.) :
Proceedings of the 1st ICAPS Workshop on Hierarchical Planning.
pp. 31-39
Mohr, Felix; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818 and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Reduction Stumps for Multi-class Classification.
In: Duivesteijn, Wouter; Siebes, Arno and Ukkonen, Antti (eds.) : (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, Vol. 11191. Cham: Springer. pp. 225-237
Mohr, Felix; Wever, Marcel
ORCID: https://orcid.org/0000-0001-9782-6818; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and 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. pp. 241-244
Nguyen, Vu-Linh; Destercke, Sébastien; Masson, Marie-Hélène and 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.
In: Lang, Jérôme (ed.) :
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence.
Menlo Park, County of San Mateo, California: pp. 5089-5095
Schäfer, Dirk and 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 and Ceci, Michelangelo (eds.) :
Discovery Science. Discovery Science 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Lecture Notes in Computer Science, Vol. 11198. Cham: Springer. pp. 161-175
2017
Ahmadi Fahandar, Mohsen; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Couso, Inés
(August 2017):
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening.
34th International Conference on Machine Learning, Sydney, Australia.
In: Precup, Doina and Teh, Yee Whye (eds.) :
Proceedings of the 34 th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017.
Vol. 70.
[PDF, 269kB]
Couso, Inés; Dubois, Didier and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Maximum Likelihood Estimation and Coarse Data.
In: Moral, Serafín; Pivert, Olivier; Sánchez, Daniel and Marín, Nicolás (eds.) :
Scalable Uncertainty Management. 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science, Vol. 10564. Cham: Springer. pp. 3-16
Ewerth, Ralph; Springstein, Matthias; Müller, Eric; Balz, Alexander; Gehlhaar, Jan; Naziyok, Tolga; Dembczyński, Krzysztof and 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. pp. 919-924
Mohr, Felix; Lettmann, Theo and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2017):
Planning with Independent Task Networks.
In: Kern-Isberner, Gabriele; Fürnkranz, Johannes and Thimm, Matthias (eds.) :
KI 2017: Advances in Artificial Intelligence. 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings. Lecture Notes in Computer Science, Vol. 10505. Cham: Springer. pp. 193-206
Seemann, Nina; Merten, Marie-Luis; Geierhos, Michaela; Tophinke, Doris and 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. pp. 40-45
Shaker, Ammar; Heldt, Waleri and 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 and Džeroski, Sašo (eds.) :
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, Vol. 10535. pp. 559-574
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 and Yi, Ke
(December 2016):
Research Directions for Principles of Data Management (Abridged).
In: SIGMOD Record, Vol. 45, No. 4: 5–17
Dembczyński, Krzysztof; Kotłowski, Wojciech; Waegeman, Willem; Busa-Fekete, Róbert and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Consistency of Probabilistic Classifier Trees.
In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe and Vreeken, Jilles (eds.) :
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, Vol. 9852. Cham: Springer. pp. 511-526
Jasinska, Kalina; Dembczynski, Krzysztof; Busa-Fekete, Róbert; Pfannschmidt, Karlson; Klerx, Timo and 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.
In: Balcan, Maria Florina and Weinberger, Kilian Q. (eds.) :
Proceedings of the 33rd International Conference on International Conference on Machine Learning.
Vol. 22.
New York: Association for Computing Machinery. pp. 1435-1444
Pfannschmidt, Karlson; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108; Held, Susanne and 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 and Yager, Ronald R. (eds.) :
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, Vol. 610. Cham: Springer. pp. 450-461
Schäfer, Dirk and 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.
In: Krestel, Ralf; Mottin, Davide and Müller, Emmanuel (eds.) :
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen".
Vol. 22.
Vol. 1670.
pp. 323-334
2015
Abdel-Aziz, Amira and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2015):
Case Base Maintenance in Preference-Based CBR.
In: Hüllermeier, Eyke and Minor, Mirjam (eds.) :
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, Vol. 9343. Cham: Springer. pp. 1-14
Ewerth, Ralph; Balz, Alexander; Gehlhaar, Jan; Dembczyński, Krzysztof and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(November 2015):
Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.
In: Hoffmann, Frank and Hüllermeier, Eyke (eds.) :
Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27. November 2015. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie, Vol. 54. Karlsruhe: KIT Scientific Publishing. pp. 235-239
Henzgen, Sascha and 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, Vol. 9285. pp. 422-437
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and 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, Vol. 9285. Cham: Springer. pp. 260-275
Schäfer, Dirk and 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 and Soares, Carlos (eds.) :
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, Vol. 9285. Cham: Springer. pp. 227-242
Szörényi, Baiÿzs; Busa-Fekete, Róbert; Paul, Adil and 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.
In: Cortes, C.; Lee, D. D.; Sugiyama, M. and Garnett, R. (eds.) :
NIPS'15: Proceedings of the 28th International Conference on Neural Information Processing Systems.
Vol. 1.
Cambridge, MA: MIT Press. pp. 595-603
Szörényi, Baiÿzs; Busa-Fekete, Róbert; Paul, Adil and 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.
In: Cortes, C.; Lee, D. D.; Sugiyama, M. and Garnett, R. (eds.) :
NIPS'15: Proceedings of the 28th International Conference on Neural Information Processing Systems.
Vol. 1.
Cambridge, MA: MIT Press. pp. 604-612
2014
Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Meo, Rosa (eds.)
(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, Vol. 8724. Berlin, Heidelberg: Springer.
Abdel-Aziz, Amira; Strickert, Marc and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Learning Solution Similarity in Preference-Based CBR.
In: Lamontagne, Luc and Plaza, Enric (eds.) :
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, Vol. 8765. Cham: Springer. pp. 17-31
Busa-Fekete, Róbert; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and 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.
In: Xing, Eric P. and Jebara, Tony (eds.) :
Proceedings of the 31st International Conference on Machine Learning.
Vol. 32.
Bejing, China: PMLR. pp. 1071-1079
Busa-Fekete, Róbert and 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 and Zilles, Sandra (eds.) :
Algorithmic Learning Theory. 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science, Vol. 8776. Cham: Springer. pp. 18-39
Henzgen, Sascha and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Mining Rank Data.
In: Džeroski, Sašo; Panov, Panče; Kocev, Dragi and Todorovski, Ljupčo (eds.) :
Discovery Science. 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science, Vol. 8777. Cham: Springer. pp. 123-134
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 and Stefanowski, Jerzy
(2014):
Open challenges for data stream mining research.
In: ACM SIGKDD Explorations Newsletter, Vol. 16, No. 1: pp. 1-10
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 and Waegeman, Willem
(2014):
Identification of Functionally Related Enzymes by Learning-to-Rank Methods.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, No. 6: pp. 1157-1169
2013
Busa-Fekete, Róbert; Szörényi, Balázs; Cheng, Weiwei; Weng, Paul and 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.
In: Dasgupta, Sanjoy and McAllester, David (eds.) :
Proceedings of the 30th International Conference on International Conference on Machine Learning.
Vol. 28.
pp. 1094-1102
Cheng, Weiwei; Henzgen, Sascha and 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.
In: Henrich, Andreas and Sperker, Hans-Christian (eds.) :
LWA 2013. Lernen, Wissen & Adaptivität, Workshop Proceedings Bamberg, 7.-9. October 2013. Dagstuhl Reports,
Vol. 4.
Bamberg: Universitätsbibliothek Bamberg. pp. 129-136
Dembczyński, Krzysztof; Jachnik, Arkadiusz; Kotlowski, Wojciech; Waegeman, Willem and 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.
In: Dasgupta, Sanjoy and McAllester, David (eds.) :
Proceedings of the 30th International Conference on Machine Learning.
Vol. 28.
pp. 1030-1038
Haasenritter, Jörg; Viniol, Annika; Becker, Annette; Bösner, Stefan; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108; Senge, Robin and Donner-Banzhoff, Norbert
(2013):
Diagnose im Kontext – eine erweiterte Perspektive.
In: Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen, Vol. 107, No. 9-10: pp. 585-591
Nasiri, Maryam; Fober, Thomas; Senge, Robin and 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. pp. 715-721
Senge, Robin; Del Coz, Juan José and 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 and Janning, Ruth (eds.) :
Data Analysis, Machine Learning and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization, Cham: Springer. pp. 163-170
Shaker, Ammar and 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.
In: Krempl, Georg; Zliobaite, Indre; Wang, Yin and Forman, Georg (eds.) :
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. pp. 38-41
Szarvas, György; Busa-Fekete, Róbert and 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. pp. 1926-1932
Tehrani, Ali Fallah and 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,
Vol. 32.
Vol. 32.
Red Hook, NY: Curran. pp. 802-809
[PDF, 1MB]
2012
Cheng, Weiwei and 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 and Cristianini, Nello (eds.) :
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, Vol. 7524. Berlin, Heidelberg: Springer. pp. 83-98
Dembczyński, Krzysztof; Waegeman, Willem and 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 and Lucas, Peter (eds.) :
ECAI 2012 : 20th European Conference on Artificial Intelligence, 27 - 31 August 2012, Montpellier, France. Frontiers in Artificial Intelligence and Applications, Vol. 242. Amsterdam: IOS Press. pp. 294-299
[PDF, 258kB]
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Fallah Tehrani, Ali
(2012):
On the VC-Dimension of the Choquet Integral.
In: Greco, Salvatore; Bouchon-Meunier, Bernadette; Coletti, Gulianella; Fedrizzi, Mario; Matarazzo, Benedetto and Yager, Ronald R. (eds.) :
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, Vol. 297. Berlin, Heidelberg: Springer. pp. 42-50
Leinweber, Matthias; Baumgärtner, Lars; Mernberger, Marco; Fober, Thomas; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108; Klebe, Gerhard and 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. pp. 1-6
2011
Cheng, Weiwei; Fürnkranz, Johannes; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Park, Sang-Hyeun
(2011):
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.
In: Gunopulos, Dimitrios; Hofmann, Thomas; Malerba, Donato and Vazirgiannis, Michalis (eds.) :
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, Vol. 6911. Berlin, Heidelberg: Springer. pp. 312-327
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Fürnkranz, Johannes
(2011):
Learning from Label Preferences.
In: Elomaa, Tapio; Hollmén, Jaakko and Mannila, Heikki (eds.) :
Discovery Science. 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science, Vol. 6926. pp. 2-17
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Schlegel, Patrice
(September 2011):
Preference-Based CBR: First Steps toward a Methodological Framework.
In: Ram, Ashwin and Wiratunga, Nirmalie (eds.) :
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, Vol. 6880. Berlin, Heidelberg: Springer. pp. 77-91
2010
Cheng, Weiwei; Rademaker, Michaël; De Baets, Bernard and 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 and Sebag, Michèle (eds.) :
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, Vol. 6321. Berlin, Heidelberg: Springer. pp. 215-230
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei and 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 and Sebag, Michèle (eds.) :
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, Vol. 6321. Berlin, Heidelberg: Springer. pp. 280-295
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2010):
Uncertainty in Clustering and Classification.
In: Deshpande, Amol and Hunter, Anthony (eds.) :
Scalable Uncertainty Management.4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings. Lecture Notes in Computer Science, Vol. 6379. Berlin, Heidelberg: Springer. pp. 16-19
2009
Cheng, Weiwei and 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 and Shawe-Taylor, John (eds.) :
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, Vol. 5781. Berlin, Heidelberg: Springer. p. 6
Cheng, Weiwei and 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.
In: Hartmann, Melanie and Janssen, Frederik (eds.) :
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. pp. 22-29
Cheng, Weiwei and 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 and Zhang, Nian (eds.) : (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, Vol. 5551. Berlin, Heidelberg: Springer. pp. 707-716
Fober, Thomas; Mernberger, Marco; Melnikov, Vitalik; Moritz, Ralph and 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.
In: Hartmann, Melanie and Janssen, Frederik (eds.) :
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. pp. 30-36
Fürnkranz, Johannes; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Vanderlooy, Stijn
(2009):
Binary Decomposition Methods for Multipartite Ranking.
In: Buntine, Wray; Grobelnik, Marko; Mladenić, Dunja and Shawe-Taylor, John (eds.) :
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, Vol. 5781. Berlin, Heidelberg: Springer. pp. 359-374
Hoffmann, Frank and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(December 2009):
Multiple Geometrical Alignments for the Analysis of Protein Active Sites.
19. Workshop Computational Intelligence, Dortmund, 2. - 4. Dezember 2009.
In: Hoffmann, Frank and Hüllermeier, Eyke (eds.) :
Proceedings. 19. Workshop Computational Intelligence, Dortmund, 2. - 4. Dezember 2009. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH),
Vol. 29.
Karlsruhe: KIT Scientific Publishing. pp. 237-255
Senge, Robin and 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.
In: Hartmann, Melanie and Janssen, Frederik (eds.) :
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. pp. 105-110
2008
Cheng, Weiwei and 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 and Hanft, Alexandre (eds.) :
Advances in Case-Based Reasoning. 9th European Conference, ECCBR 2008, Trier, Germany, September 1-4, 2008. Proceedings. Lecture Notes in Computer Science, Vol. 5239. Berlin, Heidelberg: Springer. pp. 120-134
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108; Vladimirskiy, Ilya; Prados Suárez, Belén and Stauch, Eva
(2008):
Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions.
In: Althoff, Klaus-Dieter; Bergmann, Ralph; Minor, Mirjam and Hanft, Alexandre (eds.) :
Advances in Case-Based Reasoning. Lecture Notes in Computer Science. 9th European Conference, ECCBR 2008, Trier, Germany, September 1-4, 2008. Proceedings, Vol. 5239. Berlin, Heidelberg: Springer. pp. 240-254
Vanderlooy, Stijn and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2008):
A Critical Analysis of Variants of the AUC.
In: Daelemans, Walter; Goethals, Bart and Morik, Katharina (eds.) :
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, Vol. 5211. Berlin, Heidelberg: Springer. p. 13
2007
Beringer, Jürgen and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2007):
An Efficient Algorithm for Instance-Based Learning on Data Streams.
In: Perner, Petra (ed.) :
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, Vol. 4597. Berlin, Heidelberg: Springer. pp. 34-48
Brinker, Klaus and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2007):
Label Ranking in Case-Based Reasoning.
In: Weber, Rosina O. and Richter, Michael M. (eds.) :
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, Vol. 4626. Berlin, Heidelberg: Springer. pp. 77-91
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and 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 and Skowron, Andrzej (eds.) :
Machine Learning: ECML 2007. 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings. Lecture Notes in Computer Science, Vol. 4701. Berlin, Heidelberg: Springer. pp. 583-590
Sulzmann, Jan-Nikolas; Fürnkranz, Johannes and 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 and Skowron, Andrzej (eds.) :
Machine Learning: ECML 2007. 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings. Lecture Notes in Computer Science, Vol. 4701. Berlin, Heidelberg: Springer. pp. 371-381
2006
Bade, Korinna; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Nurnberger, Andreas
(2006):
Hierarchical Classification by Expected Utility Maximization.
6th IEEE International Conference on Data Mining, Hong Kong, China, 18-22 December, 2006.
In: Clifton, Christopher W. (ed.) :
Sixth IEEE International Conference on Data Mining : ICDM 2006 ; 18-22 December 2006, Hong Kong.
Los Alamitos, Calif.: IEEE Computer Society. pp. 43-52
Brinker, Klaus and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2006):
Case-Based Label Ranking.
In: Fürnkranz, Johannes; Scheffer, Tobias and Spiliopoulou, Myra (eds.) :
Machine Learning: ECML 2006. 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings. Lecture Notes in Computer Science, Vol. 4212. Berlin, Heidelberg: Springer. pp. 566-573
2005
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Beringer, Jürgen
(September 2005):
Learning from Ambiguously Labeled Examples.
In: Famili, A. Fazel; Kok, Joost N.; Peña, José M.; Siebes, Arno and Feelders, Ad (eds.) :
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, Vol. 3646. Berlin, Heidelberg: Springer. pp. 168-179
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Fürnkranz, Johannes
(September 2005):
Learning Label Preferences: Ranking Error Versus Position Error.
In: Fazel Famili, A.; Kok, Joost N.; Peña, José M.; Siebes, Arno and Feelders, Ad (eds.) :
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, Vol. 3646. Berlin, Heidelberg: Springer. pp. 180-191
2004
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and 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.
Vol. 1.
Piscataway, N.J: IEEE. pp. 97-102
2003
Dubois, Didier; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Prade, Henri
(2003):
A Note on Quality Measures for Fuzzy Association Rules.
In: Bilgiç, Taner; De Baets, Bernard and Okyay Kaynak (eds.) :
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, Vol. 2715. Berlin, Heidelberg: Springer. pp. 346-353
Dubois, Didier; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Prade, Henri
(2003):
Flexible Control of Case-Based Prediction in the Framework of Possibility Theory.
In: Blanzieri, Enrico and Portinale, Luigi (eds.) :
Advances in Case-Based Reasoning. 5th European Workshop, EWCBR 2000 Trento, Italy, September 6–9, 2000 Proceedings. Lecture Notes in Computer Science, Vol. 1898. Berlin, Heidelberg: Springer. pp. 61-73
Fürnkranz, Johannes and Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(September 2003):
Pairwise Preference Learning and Ranking.
In: Lavrač, Nada; Gamberger, Dragan; Blockeel, Hendrik and Todorovski, Ljupčo (eds.) :
Machine Learning: ECML 2003. 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003. Proceedings. Lecture Notes in Computer Science, Vol. 2837. Berlin, Heidelberg: Springer. pp. 145-156
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 and Borgelt, Christian (eds.) :
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, Vol. 2810. Berlin, Heidelberg: Springer. pp. 13-24
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(September 2003):
Instance-Based Learning of Credible Label Sets.
In: Günter, Andreas; Kruse, Rudolf and Neumann, Bernd (eds.) :
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, Vol. 2821. Berlin, Heidelberg: Springer. pp. 450-464
2002
Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2002):
Association Rules for Expressing Gradual Dependencies.
In: Elomaa, Tapio; Mannila, Heikki and Toivonen, Hannu (eds.) :
Principles of Data Mining and Knowledge Discovery. 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings. Lecture Notes in Computer Science, Vol. 2431. Berlin, Heidelberg: Springer. pp. 200-211
de Calmes, Martine; Dubois, Didier; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108; Prade, Henri and 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.
Vol. 1.
Piscataway, NJ: IEEE. pp. 735-739
2001
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. and Berthold, Michael R. (eds.) :
Advances in Intelligent Data Analysis. Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings. Lecture Notes in Computer Science, Vol. 1642. Berlin, Heidelberg: Springer. pp. 257-268
This list was generated on Mon Dec 11 17:09:51 2023 CET.