Anzahl der Publikationen: 17
Zeitschriftenartikel
Rath, Katharina ORCID: https://orcid.org/0000-0002-4962-5656; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Toussaint, Udo von; Rea, Cristina ORCID: https://orcid.org/0000-0002-9948-2649; Maris, Andrew; Granetz, Robert und Albert, Christopher G. ORCID: https://orcid.org/0000-0003-4773-416X
(2022):
Data augmentation for disruption prediction via robust surrogate models.
In: Journal of Plasma Physics, Bd. 88, Nr. 5: S. 1-23
[PDF, 1MB]
Klüser, Lena; Holler, Peter; Simak, Julia; Tater, Guy; Smets, Pascale; Rügamer, David; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487 und Wess, Gerhard
(2016):
Predictors of Sudden Cardiac Death in Doberman Pinschers with Dilated Cardiomyopathy.
In: Journal of Veterinary Internal Medicine, Bd. 30, Nr. 3: S. 722-732
Buchbeitrag
Baumann, Philipp F. M. ORCID: https://orcid.org/0000-0001-8066-1615; Hothorn, Torsten ORCID: https://orcid.org/0000-0001-8301-0471 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2021):
Deep Conditional Transformation Models.
In: Oliver, Nuria; Pérez-Cruz, Fernando; Kramer, Stefan; Read, Jesse und Lozano, José A. (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III. Lecture Notes in Computer Science (LNAI), Bd. 12977. Cham: Springer. S. 3-18
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
Konferenzbeitrag
Ott, Felix; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Heublein, Lucas; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Mutschler, Christopher
(2022):
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 4-8 January 2022.
In: 2022 IEEE Winter Conference on Applications of Computer Vision : 4-8 January 2022, Waikoloa, Hawaii : proceedings,
Piscataway, NJ: IEEE. S. 1244-1254
Weber, Tobias ORCID: https://orcid.org/0000-0002-5430-2595; Ingrisch, Michael ORCID: https://orcid.org/0000-0003-0268-9078; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2022):
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs.
MICCAI Workshop on Medical Applications with Disentanglements, Singapore, 18. - 22. September 2022.
Fragemann, Jana; Li, Jianning; Liu, Xiao und Tsaftar, Sotirios A. (Hrsg.):
In: Medical Applications with Disentanglements,
Cham: Springer. S. 22-32
[PDF, 9MB]
Goschenhofer, Jann; Hvingelby, Rasmus; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Thomas, Janek; Wagner, Moritz und Bischl, Bernd
(2021):
Deep Semi-supervised Learning for Time Series Classification.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Pasadena, CA, USA, 13-16 December 2021.
In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA),
New York: IEEE. S. 422-428
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