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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 13

Zeitschriftenartikel

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 logoORCID: https://orcid.org/0000-0002-8668-281X; Weigert, Maximilian ORCID logoORCID: https://orcid.org/0000-0003-4400-134X; Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 und Ludwig, Ralf ORCID logoORCID: 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]

Rath, Katharina ORCID logoORCID: https://orcid.org/0000-0002-4962-5656; Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980; Toussaint, Udo von; Rea, Cristina ORCID logoORCID: https://orcid.org/0000-0002-9948-2649; Maris, Andrew; Granetz, Robert und Albert, Christopher G. ORCID logoORCID: 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]

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

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

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

Klüser, Lena; Holler, Peter; Simak, Julia; Tater, Guy; Smets, Pascale; Rügamer, David; Küchenhoff, Helmut ORCID logoORCID: 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

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

Buchbeitrag

Bender, Andreas ORCID logoORCID: https://orcid.org/0000-0001-5628-8611; Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202; Scheipl, Fabian ORCID logoORCID: https://orcid.org/0000-0001-8172-3603 und Bischl, Bernd ORCID logoORCID: 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

Baumann, Philipp F. M. ORCID logoORCID: https://orcid.org/0000-0001-8066-1615; Hothorn, Torsten ORCID logoORCID: https://orcid.org/0000-0001-8301-0471 und Rügamer, David ORCID logoORCID: 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

Konferenzbeitrag

Weber, Tobias ORCID logoORCID: https://orcid.org/0000-0002-5430-2595; Ingrisch, Michael ORCID logoORCID: https://orcid.org/0000-0003-0268-9078; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980 und Rügamer, David ORCID logoORCID: 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 logoORCID: 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

Diese Liste wurde am Sat Mar 23 22:30:04 2024 CET erstellt.