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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 22
2024
Herrmann, Moritz 
ORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Boulesteix, Anne-Laure und Bischl, Bernd
(Juli 2024):
Position: Why We Must Rethink Empirical Research in Machine Learning.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 18228-18247
[PDF, 334kB]
ORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Boulesteix, Anne-Laure und Bischl, Bernd
(Juli 2024):
Position: Why We Must Rethink Empirical Research in Machine Learning.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 18228-18247
[PDF, 334kB]
Schalk, Daniel; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2024):
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models.
In: Statistics and Computing, Bd. 34, Nr. 1, 31
[PDF, 835kB]
ORCID: https://orcid.org/0000-0001-6002-6980 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2024):
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models.
In: Statistics and Computing, Bd. 34, Nr. 1, 31
[PDF, 835kB]
2023
Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Pfisterer, Florian; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Grün, Bettina
(2023):
Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods.
In: AStA Advances in Statistical Analysis [Forthcoming]
ORCID: https://orcid.org/0000-0002-8772-9202; Pfisterer, Florian; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Grün, Bettina
(2023):
Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods.
In: AStA Advances in Statistical Analysis [Forthcoming]
Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Baumann, Philipp F. M.; Kneib, Thomas und Hothorn, Torsten
(2023):
Probabilistic time series forecasts with autoregressive transformation models.
In: Statistics and Computing, Bd. 33, Nr. 2
[PDF, 653kB]
ORCID: https://orcid.org/0000-0002-8772-9202; Baumann, Philipp F. M.; Kneib, Thomas und Hothorn, Torsten
(2023):
Probabilistic time series forecasts with autoregressive transformation models.
In: Statistics and Computing, Bd. 33, Nr. 2
[PDF, 653kB]
2022
Fritz, Cornelius; Dorigatti, Emilio und Rügamer, David
(10. März 2022):
Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany.
In: Scientific Reports, Bd. 12
[PDF, 11MB]
Mittermeier, Magdalena ORCID: https://orcid.org/0000-0002-8668-281X; Weigert, Maximilian ORCID: https://orcid.org/0000-0003-4400-134X; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487 und Ludwig, Ralf ORCID: https://orcid.org/0000-0002-4225-4098
(2022):
A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble.
In: Environmental Research Letters, Bd. 17, Nr. 8, 084021
[PDF, 9MB]
ORCID: https://orcid.org/0000-0002-8668-281X; Weigert, Maximilian ORCID: https://orcid.org/0000-0003-4400-134X; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487 und Ludwig, Ralf ORCID: https://orcid.org/0000-0002-4225-4098
(2022):
A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble.
In: Environmental Research Letters, Bd. 17, Nr. 8, 084021
[PDF, 9MB]
Ott, Felix; Rügamer, David; Heublein, Lucas; Hamann, Tim; Barth, Jens; Bischl, Bernd und Mutschler, Christopher
(2022):
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.
In: International Journal on Document Analysis and Recognition, Bd. 25, Nr. 4: S. 385-414
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]
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]
Liew, Bernard X. W.; Kovacs, Francisco M.; Rügamer, David und Royuela, Ana
(2022):
Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck pain.
In: European Spine Journal, Bd. 31, Nr. 8: S. 2082-2091
Rezaei, Mina; Dorigatti, Emilio; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202 und Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980
(2022):
Joint Debiased Representation Learning and Imbalanced Data Clustering.
2022 IEEE International Conference on Data Mining Workshops (ICDMW), Orlando, Florida, 28 November–1 December 2022.
In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW),
Los Alamitos: IEEE. S. 55-62
ORCID: https://orcid.org/0000-0002-8772-9202 und Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980
(2022):
Joint Debiased Representation Learning and Imbalanced Data Clustering.
2022 IEEE International Conference on Data Mining Workshops (ICDMW), Orlando, Florida, 28 November–1 December 2022.
In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW),
Los Alamitos: IEEE. S. 55-62
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
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]
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]
Kopper, Philipp; Wiegrebe, Simon; Bischl, Bernd; Bender, Andreas ORCID: https://orcid.org/0000-0001-5628-8611 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2022):
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis.
26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2022), Chengdu, China, May 16–19, 2022.
Gama, João (Hrsg.):
In: Advances in Knowledge Discovery and Data Mining. 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part II, Lecture Notes in Computer Science
Bd. 13281
Cham: Springer. S. 249-261
ORCID: https://orcid.org/0000-0001-5628-8611 und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2022):
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis.
26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2022), Chengdu, China, May 16–19, 2022.
Gama, João (Hrsg.):
In: Advances in Knowledge Discovery and Data Mining. 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part II, Lecture Notes in Computer Science
Bd. 13281
Cham: Springer. S. 249-261
2021
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
Säfken, Benjamin; Rügamer, David; Kneib, Thomas und Greven, Sonja
(2021):
Conditional Model Selection in Mixed-Effects Models with cAIC4.
In: Journal of Statistical Software, Bd. 99, Nr. 8: S. 1-30
Berninger, Christoph; Stöcker, Almond und Rügamer, David
(2021):
A Bayesian time-varying autoregressive model for improved short-term and long-term prediction.
In: Journal of Forecasting, Bd. 41, Nr. 1: S. 181-200
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
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
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
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
2018
Rügamer, David; Brockhaus, Sarah; Gentsch, Kornelia; Scherer, Klaus und Greven, Sonja
(2018):
Boosting factor-specific functional historical models for the detection of synchronization in bioelectrical signals.
In: Journal of the Royal Statistical Society Series C-Applied Statistics, Bd. 67, Nr. 3: S. 621-642
2016
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
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
2014
Gillhuber, Julia; Rügamer, David; Pfister, Kurt und Scheuerle, Miriam C.
(2014):
Giardiosis and other enteropathogenic infections: a study on diarrhoeic calves in Southern Germany.
In: BMC Research Notes
7:112
[PDF, 1MB]
Gillhuber, Julia; Rügamer, David; Pfister, Kurt und Scheuerle, Miriam C.
(2014):
Giardiosis and other enteropathogenic infections: a study on diarrhoeic calves in Southern Germany.
In: BMC Research Notes, Bd. 7: S. 112-121