Logo Logo
Exportieren als [RSS feed] RSS 1.0 [RSS2 feed] RSS 2.0
Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2022 | 2021 | 2020
Anzahl der Publikationen: 6

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]

Rezaei, Mina; Dorigatti, Emilio; Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202 und Bischl, Bernd ORCID logoORCID: 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

2021

Boniolo, Fabio; Dorigatti, Emilio; Ohnmacht, Alexander J.; Saur, Dieter; Schubert, Benjamin und Menden, Michael P. (2021): Artificial intelligence in early drug discovery enabling precision medicine. In: Expert Opinion on Drug Discovery, Bd. 16, Nr. 9: S. 991-1007

2020

Dorigatti, Emilio und Schubert, Benjamin (2020): Graph-theoretical formulation of the generalized epitope-based vaccine design problem.
In: PLOS Computational Biology 16(10), e1008237 [PDF, 2MB]

Dorigatti, Emilio und Schubert, Benjamin (2020): Joint epitope selection and spacer design for string-of-beads vaccines. In: Bioinformatics, Bd. 36: I643-I650

Kahn, James; Dorigatti, Emilio; Lieret, Kilian; Lindner, Andreas und Kuhr, Thomas (2020): Selective background Monte Carlo simulation at Belle II. In: 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), Bd. 245, 02028

Diese Liste wurde am Sat Dec 21 20:20:46 2024 CET erstellt.