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Anzahl der Publikationen: 25
Zeitschriftenartikel
Waegeman, Willem 
ORCID: https://orcid.org/0000-0002-5950-3003; Dembczyński, Krzysztof; Jachnik, Arkadiusz; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2014):
On the Bayes-Optimality of F-Measure Maximizers.
In: Journal of Machine Learning Research, Bd. 15, 103: S. 3513-3568
[PDF, 676kB]
ORCID: https://orcid.org/0000-0002-5950-3003; Dembczyński, Krzysztof; Jachnik, Arkadiusz; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2014):
On the Bayes-Optimality of F-Measure Maximizers.
In: Journal of Machine Learning Research, Bd. 15, 103: S. 3513-3568
[PDF, 676kB]
Busa-Fekete, Róbert; Szörényi, Balázs; Weng, Paul; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
In: Machine Learning, Bd. 97, Nr. 3: S. 327-351
ORCID: https://orcid.org/0000-0002-9944-4108
(2014):
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
In: Machine Learning, Bd. 97, Nr. 3: S. 327-351
Heider, Dominik; Senge, Robin; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction.
In: Bioinformatics, Bd. 29, Nr. 16: S. 1946-1952
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction.
In: Bioinformatics, Bd. 29, Nr. 16: S. 1946-1952
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
On label dependence and loss minimization in multi-label classification.
In: Machine Learning, Bd. 88, Nr. 1-2: S. 5-45
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
On label dependence and loss minimization in multi-label classification.
In: Machine Learning, Bd. 88, Nr. 1-2: S. 5-45
[PDF, 1MB]
Tehrani, Ali Fallah; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.
In: IEEE Transactions on Fuzzy Systems, Bd. 20, Nr. 6: S. 1102-1113
ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.
In: IEEE Transactions on Fuzzy Systems, Bd. 20, Nr. 6: S. 1102-1113
Tehrani, Ali Fallah; Cheng, Weiwei; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
Learning monotone nonlinear models using the Choquet integral.
In: Machine Learning, Bd. 89, Nr. 1-2: S. 183-211
ORCID: https://orcid.org/0000-0002-9944-4108
(2012):
Learning monotone nonlinear models using the Choquet integral.
In: Machine Learning, Bd. 89, Nr. 1-2: S. 183-211
Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Cheng, Weiwei und Park, Sang-Hyeun
(2012):
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.
In: Machine Learning, Bd. 89, Nr. 1-2: S. 123-156
ORCID: https://orcid.org/0000-0002-9944-4108; Cheng, Weiwei und Park, Sang-Hyeun
(2012):
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.
In: Machine Learning, Bd. 89, Nr. 1-2: S. 123-156
Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Combining instance-based learning and logistic regression for multilabel classification.
In: Machine Learning, Bd. 76, Nr. 2-3: S. 211-225
ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Combining instance-based learning and logistic regression for multilabel classification.
In: Machine Learning, Bd. 76, Nr. 2-3: S. 211-225
Buchbeitrag
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
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
Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Cheng, Weiwei
(2013):
Preference-Based CBR: General Ideas and Basic Principles.
In: Rossi, Francesca (Hrsg.): (2013):
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, Beijing, China, 3 - 9 August 2013, Vol. 4. Palo Alto, Calif.: AAAI Press. S. 3012-3016
ORCID: https://orcid.org/0000-0002-9944-4108 und Cheng, Weiwei
(2013):
Preference-Based CBR: General Ideas and Basic Principles.
In: Rossi, Francesca (Hrsg.): (2013):
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, Beijing, China, 3 - 9 August 2013, Vol. 4. Palo Alto, Calif.: AAAI Press. S. 3012-3016
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
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; 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
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
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
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
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
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
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
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
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 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
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
Konferenzbeitrag
Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
A Nearest Neighbor Approach to Label Ranking based on Generalized Labelwise Loss Minimization.
7th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF '13), Beijing, China, August 3-5, 2013.
ORCID: https://orcid.org/0000-0002-9944-4108
(2013):
A Nearest Neighbor Approach to Label Ranking based on Generalized Labelwise Loss Minimization.
7th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF '13), Beijing, China, August 3-5, 2013.
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
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
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]
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; 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]
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]
Tehrani, Ali Fallah; Cheng, Weiwei und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2011):
Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral.
EUSFLAT - LFA 2011, Aix-Les-Bains, France, 18 - 22 July 2011.
In: Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), Advances in Intelligent Systems Research
S. 868-875
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(2011):
Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral.
EUSFLAT - LFA 2011, Aix-Les-Bains, France, 18 - 22 July 2011.
In: Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), Advances in Intelligent Systems Research
S. 868-875
[PDF, 1MB]
Cheng, Weiwei; Dembczyński, Krzysztof und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2010):
Graded multilabel classification: the ordinal case.
ICML '10: 27th International Conference on Machine Learning, Haifa, Israel, June 21 - 24, 2010.
In: ICML'10: Proceedings of the 27th International Conference on Machine Learning,
Madison, WI: Omnipress. S. 223-230
ORCID: https://orcid.org/0000-0002-9944-4108
(2010):
Graded multilabel classification: the ordinal case.
ICML '10: 27th International Conference on Machine Learning, Haifa, Israel, June 21 - 24, 2010.
In: ICML'10: Proceedings of the 27th International Conference on Machine Learning,
Madison, WI: Omnipress. S. 223-230
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
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
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
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