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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
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Anzahl der Publikationen: 9

Zeitschriftenartikel

Tornede, Tanja ORCID logoORCID: https://orcid.org/0000-0001-9954-462X; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Fehring, Lukas ORCID logoORCID: https://orcid.org/0000-0001-8057-4650; Gehring, Lukas; Graf, Helena ORCID logoORCID: https://orcid.org/0000-0001-9447-0609; Hanselle, Jonas ORCID logoORCID: https://orcid.org/0000-0002-1231-4985; Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424 und Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 (20. April 2023): PyExperimenter: Easily distribute experiments and track results. In: Journal of Open Source Software, Bd. 8, Nr. 84: S. 5149 [PDF, 236kB]

Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424 und Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 (April 2023): Naive automated machine learning. In: Machine Learning, Bd. 112, Nr. 4: S. 1131-1170 [PDF, 7MB]

Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Gehring, Lukas; Tornede, Tanja ORCID logoORCID: https://orcid.org/0000-0001-9954-462X; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2023): Algorithm selection on a meta level. In: Machine Learning, Bd. 112, Nr. 4: S. 1253-1286 [PDF, 1MB]

Tornede, Tanja ORCID logoORCID: https://orcid.org/0000-0001-9954-462X; Tornede, Alexander ORCID logoORCID: https://orcid.org/0000-0002-2415-2186; Hanselle, Jonas; Mohr, Felix ORCID logoORCID: https://orcid.org/0000-0002-9293-2424; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2023): Towards Green Automated Machine Learning: Status Quo and Future Directions. In: Journal of Artificial Intelligence Research, Bd. 77: S. 427-457 [PDF, 299kB]

Konferenzbeitrag

Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (Februar 2024): Mitigating Label Noise through Data Ambiguation. AAAI Conference on Artificial Intelligence 2024, Vancouver, Canada, 20-27 February 2024. Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 38, Nr. 12 S. 13799-13807 [Video (MP4), 775MB]

Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107; Demir, Caglar und Hüllermeier, Eyke ORCID logoORCID: 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]

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

Nguyen, Duc Anh; Levie, Ron; Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID logoORCID: 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]

Hanselle, Jonas; Fürnkranz, Johannes und Hüllermeier, Eyke (2023): Probabilistic Scoring Lists for Interpretable Machine Learning. 26th International Conference on Discovery Science (DS 2023), Porto, Portugal, October 9-11, 2023. In: Discovery Science, Bd. 14276 Cham: Springer. S. 189-203 [PDF, 1MB]

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