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Dokumententyp
| Veröffentlichungsdatum
Anzahl der Publikationen: 6
Zeitschriftenartikel
Bischl, Bernd; Kerschke, Pascal; Kotthoff, Lars; Lindauer, Marius; Malitsky, Yuri; Frechétte, Alexandre; Hoos, Holger; Hutter, Frank; Leyton-Brown, Kevin; Tierney, Kevin und Vanschoren, Joaquin
(2016):
ASlib: A Benchmark Library for Algorithm Selection.
In: Artificial Intelligence, Bd. 237: S. 41-58
Buchbeitrag
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
Konferenzbeitrag
Segel, Sarah ORCID: https://orcid.org/0009-0005-2966-266X; Graf, Helena ORCID: https://orcid.org/0000-0001-9447-0609; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Lindauer, Marius ORCID: https://orcid.org/0000-0002-9675-3175
(2023):
Symbolic Explanations for Hyperparameter Optimization.
International Conference on Automated Machine Learning, Potsdam, Germany, 12-15 November 2023.
Faust, Aleksandra; Garnett, Roman; White, Colin; Hutter, Frank und Gardner, Jacob R. (Hrsg.):
In: Proceedings of Machine Learning Research,
Bd. 224
Cambridge, MA: JMLR.
[PDF, 12MB]
ORCID: https://orcid.org/0009-0005-2966-266X; Graf, Helena ORCID: https://orcid.org/0000-0001-9447-0609; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Lindauer, Marius ORCID: https://orcid.org/0000-0002-9675-3175
(2023):
Symbolic Explanations for Hyperparameter Optimization.
International Conference on Automated Machine Learning, Potsdam, Germany, 12-15 November 2023.
Faust, Aleksandra; Garnett, Roman; White, Colin; Hutter, Frank und Gardner, Jacob R. (Hrsg.):
In: Proceedings of Machine Learning Research,
Bd. 224
Cambridge, MA: JMLR.
[PDF, 12MB]
Feurer, Matthias; Eggensperger, Katharina; Bergman, Edward; Pfisterer, Florian; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Hutter, Frank
(2023):
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives.
21st International Symposium on Intelligent Data Analysis (IDA), Louvain la Neuve, Belgium, 12.-14.April 2023.
Crémilleux, Bruno; Hess, Sibylle und Nijssen, Siegfried (Hrsg.):
In: Advances in Intelligent Data Analysis XXI, Lecture Notes in Computer Science
Bd. 13876
Cham: Springer. S. 130-142
ORCID: https://orcid.org/0000-0001-6002-6980 und Hutter, Frank
(2023):
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives.
21st International Symposium on Intelligent Data Analysis (IDA), Louvain la Neuve, Belgium, 12.-14.April 2023.
Crémilleux, Bruno; Hess, Sibylle und Nijssen, Siegfried (Hrsg.):
In: Advances in Intelligent Data Analysis XXI, Lecture Notes in Computer Science
Bd. 13876
Cham: Springer. S. 130-142