Publikationen

CCU

Griese, Florian, Janis Kummer, und Lennart Rustige. (2022) „Radio Galaxy Dataset“. Zenodo.

Griese, Florian, Janis Kummer, Lennart Rustige, und Tobias Knopp. (2022) „Continuous Machine Learning with Generated Radio Galaxy Data“. In In Machine Learning in Natural Sciences: From Quantum Physics to Nanoscience and Structural Biology.

Kummer, Janis, Lennart Rustige, Florian Griese, Kerstin Borras, Marcus Brüggen, Patrick L. S. Connor, Frank Gaede, Gregor Kasieczka, und Peter Schleper. (2022) „Radio galaxy classification with WGAN-Supported augmentation“. INFORMATIK 2022 Workshops, Lecture Notes in Informatics (LNI) P-326, Gesellschaft für Informatik, Bonn (p. 469-478).

Ungethüm, Annett, Martin Poppinga, und Matthias Rarey. (2022) „SciFi: An Embedded Asset Store to Organize and Optimize Data Files for Machine Learning“. In Machine Learning in Natural Sciences: From Quantum Physics to Nanoscience and Structural Biology.

CDL1

Buhmann, Erik, Sascha Diefenbacher, Engin Eren, Frank Gaede, Daniel Hundhausen, Gregor Kasieczka, William Korcari, Katja Krüger, Peter McKeown, und Lennart Rustige. (2021) „Hadrons, Better, Faster, Stronger“. arXiv.

Connor, Patrick L. S., und Radek Žlebčík. (2022) „Step: a tool to perform tests of smoothness on differential distributions based on expansion of polynomials“. arXiv.

Griese, Florian, Janis Kummer, und Lennart Rustige. (2022) „Radio Galaxy Dataset“. Zenodo.

Griese, Florian, Janis Kummer, Lennart Rustige, und Tobias Knopp. (2022) „Continuous Machine Learning with Generated Radio Galaxy Data“. In Continuous Machine Learning with Generated Radio Galaxy Data.

CDL2

Hans G. Feichtinger und Jakobsen, Mads S.. (2018) „The Inner Kernel Theorem for a Certain Segal Algebra”. Monatshäfte für Mathematik, 198, p. 675-715, 2022.

CDL3

Li, Qi, Khalique Newaz, und Tijana Milenković. (2022) „Towards Future Directions in Data-Integrative Supervised Prediction of Human Aging-Related Genes“. arXiv.

Newaz, Khalique, Jacob Piland, Patricia L. Clark, Scott J. Emrich, Jun Li, und Tijana Milenković. (2022) „Multi-Layer Sequential Network Analysis Improves Protein 3D Structural Classification“. Proteins: Structure, Function, and Bioinformatics 90, Nr. 9: 1721–31.

CDL4

Al-Zoubi, Ahmad, Görschwin Fey, und Konstantinos Tatas. (2021) „Resource-Aware Optimization of FPGA OpenCL Kernels“. 7th International Conference on Engineering and Emerging Technologies ICEET 2021.

Sulc, Antonin, Annika Eichler, und Tim Wilksen. (2022) „A Data-Driven Anomaly Detection on SRF Cavities at the European XFEL“. 13th International Particle Accelerator Conference, Bangkok (Thailand).

Sulc, Antonin, Annika Eichler, und Tim Wilksen. (2022) „A Data-Driven Beam Trajectory Monitoring at the European XFEL“. 13th International Particle Accelerator Conference, Bangkok (Thailand).

Sulc, Antonin, Ole Johannsen, und Bastian Goldluecke. (2022) „Recovery of Geometry, Natural Illumination, and BRDF from a Single Light Field Image“. JOSA A 39, Nr. 1: 72–85.

Tatas, Konstantinos, Ahmad Al-Zoubi, Anthony Antoniou, und Diana Zolotareva. (2021) „iPONICS: IoT Monitoring and Control for Hydroponics“. In 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST), 1–5.

Tatas, Konstantinos, Ahmad Al-Zoubi, Nicholas Christofides, Chrysostomos Zannettis, Michael Chrysostomou, Stavros Panteli, und Anthony Antoniou. (2022) „Reliable IoT-Based Monitoring and Control of Hydroponic Systems“. Technologies 10: 26.