![[höher]](/style/images/multi_up.png)
Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 4
2024
Kaufmann, Timo 
ORCID: https://orcid.org/0000-0001-5193-8574; Blüml, Jannis; Wüst, Antonia; Delfosse, Quentin; Kersting, Kristian und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(August 2024):
OCALM: Object-Centric Assessment with Language Models.
Reinforcement Learning Conference (RLC 2024) Workshop on Reinforcement Learning Beyond Rewards (RLBRew), Amherst, MA, USA, 9. August 2024.
ORCID: https://orcid.org/0000-0001-5193-8574; Blüml, Jannis; Wüst, Antonia; Delfosse, Quentin; Kersting, Kristian und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(August 2024):
OCALM: Object-Centric Assessment with Language Models.
Reinforcement Learning Conference (RLC 2024) Workshop on Reinforcement Learning Beyond Rewards (RLBRew), Amherst, MA, USA, 9. August 2024.
2021
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
[PDF, 543kB]
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
[PDF, 543kB]
Pölsterl, Sebastian und Wachinger, Christian
(2021):
Adversarial Learned Molecular Graph Inference and Generation.
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 II. Lecture Notes in Computer Science (LNCS), Bd. 12458. Cham: Springer. S. 173-189
Bender, Andreas ORCID: https://orcid.org/0000-0001-5628-8611; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Scheipl, Fabian ORCID: https://orcid.org/0000-0001-8172-3603 und Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980
(2021):
A General Machine Learning Framework for Survival Analysis.
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 (LNCS), Bd. 12459. Cham: Springer. S. 158-173
ORCID: https://orcid.org/0000-0001-5628-8611; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Scheipl, Fabian ORCID: https://orcid.org/0000-0001-8172-3603 und Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980
(2021):
A General Machine Learning Framework for Survival Analysis.
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 (LNCS), Bd. 12459. Cham: Springer. S. 158-173