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Anzahl der Publikationen: 3
Buchbeitrag
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
ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Feature Selection for Analogy-Based Learning to Rank.
In: Kralj Novak, Petra; Šmuc, Tomislav und Džeroski, Sašo (Hrsg.):
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11828. Cham: Springer. S. 279-289
Nguyen, Vu-Linh; Destercke, Sébastien und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Epistemic Uncertainty Sampling.
In: Kralj Novak, Petra; Šmuc, Tomislav und Džeroski, Sašo (Hrsg.):
Discovery Science. 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings. Lecture Notes in Computer Science, Bd. 11828. S. 72-86
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
Konferenzbeitrag
Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Bender, Andreas ORCID: https://orcid.org/0000-0001-5628-8611; Wiegrebe, Simon ORCID: https://orcid.org/0000-0003-3385-6879; Racek, Daniel ORCID: https://orcid.org/0000-0002-9564-7880; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Müller, Christian L. ORCID: https://orcid.org/0000-0002-3821-7083 und Stachl, Clemens ORCID: https://orcid.org/0000-0002-4498-3067
(2023):
Factorized Structured Regression for Large-Scale Varying Coefficient Models.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Grenoble, France, 19. - 23. September 2022.
Amini, Massih-Reza; Canu, Stéphane; Fischer, Asja; Guns, Tias; Kralj Novak, Petra und Tsoumakas, Grigorios (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science
Bd. 13717
Cham: Springer. S. 20-35
ORCID: https://orcid.org/0000-0002-8772-9202; Bender, Andreas ORCID: https://orcid.org/0000-0001-5628-8611; Wiegrebe, Simon ORCID: https://orcid.org/0000-0003-3385-6879; Racek, Daniel ORCID: https://orcid.org/0000-0002-9564-7880; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Müller, Christian L. ORCID: https://orcid.org/0000-0002-3821-7083 und Stachl, Clemens ORCID: https://orcid.org/0000-0002-4498-3067
(2023):
Factorized Structured Regression for Large-Scale Varying Coefficient Models.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Grenoble, France, 19. - 23. September 2022.
Amini, Massih-Reza; Canu, Stéphane; Fischer, Asja; Guns, Tias; Kralj Novak, Petra und Tsoumakas, Grigorios (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science
Bd. 13717
Cham: Springer. S. 20-35