Dr. rer. nat. René JäkelPerson
Person
Identification Numbers
| Scopus author ID | 8376972400 |
|---|
Related content
- Research output
- Datasets
SetQuence & SetOmic: Deep set transformers for whole genome and exome tumour analysis
Jurenaite, N., León-Periñán, D., Donath, V., Torge, S. & Jäkel, R., Jan 2024, In: BioSystems. 235, 17 p., 105095.Research output: Contribution to journal › Research article › Contributed › peer-review
Innovative Urban Design Simulation: Utilizing Agent-Based Modelling through Reinforcement Learning
Glass, A., Noennig, J. R., Bek, B., Glass, R., Menges, E. K., Okhrin, I., Baddam, P., & 3 othersSanchez, M. R., Senthil, G. & Jäkel, R., 25 Nov 2023, In: CIIS: Computational Intelligence and Intelligent Systems. p. 20–25 6 p.Research output: Contribution to journal › Conference article › Contributed › peer-review
Schlussbericht AI4DI: Teilvorhaben "Sensitive Strukturen für die Mensch-Maschine-Interaktion in digitalisierten Prozessketten"
Modler, N., Kostka, P., Helwig, M., Nagel, W. E., Winkler, P., Haidar, A., Müller-Pfefferkorn, R., & 1 othersJäkel, R., 2023, 22 p.Research output: Preprint/Documentation/Report › Project report (Final and progress reports)
Named Entity Recognition for Specific Domains - Take Advantage of Transfer Learning
Torge, S., Hahn, W., Manjunath, L. & Jäkel, R., 2022, In: International Journal of Information Science and Technology. 6, 3, p. 4-15 12 p.Research output: Contribution to journal › Research article › Contributed › peer-review
SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics
Jurenaite, N., Leon-Perinan, D., Donath, V., Torge, S. & Jakel, R., 2022, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022. IEEE, New York [u. a.], p. 139-147 (2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Score-P: Scalable performance measurement infrastructure for parallel codes (v8.0)
Feld, C. (Data Collector), Jäkel, R. (Data Collector), Lorenz, D. (Data Collector), Wesarg, B. (Data Collector), Schmidl, D. (Data Collector), Tschüter, R. (Data Collector), Oleynik, Y. (Data Collector), Eschweiler, D. (Data Collector), Spazier, J. (Data Collector), Knüpfer, A. (Data Collector), Shende, S. (Data Collector), Millstein, S. (Data Collector), Biersdorff, S. (Data Collector), Markus Geimer, G. (Data Collector), Schlütter, M. (Data Collector), Schmitt, F. (Data Collector), Ziegenbalg, J. (Data Collector), Zhukov, I. (Data Collector), Dietrich, R. (Data Collector), Geyer, R. (Data Collector), Saviankou, P. (Data Collector), Knobloch, M. (Data Collector), Mijaković, R. (Data Collector), Schöne, R. (Data Collector), Winkler, F. (Data Collector), Ilsche, T. (Data Collector), Hermanns, M. (Data Collector), Brendel, R. (Data Collector), Oeste, S. (Data Collector), Herold, C. (Data Collector), Sigl, S. (Data Collector), Hilbrich, T. (Data Collector), Williams, W. R. (Data Collector), Klotz, S. (Data Collector) & Corbin, G. (Data Collector), Technische Universität Dresden, 15 Dec 2022
DOI: https://doi.org/10.5281/ZENODO.5761738, https://perftools.pages.jsc.fz-juelich.de/cicd/scorep/tags/scorep-8.0/scorep-8.0.tar.gz
Dataset: Code