List of publications

CCU

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

Griese, Florian, Janis Kummer, Lennart Rustige, and 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.

Griese, Florian, Janis Kummer, Patrick L. S. Connor, Marcus Brüggen, and Lennart Rustige. (2023) „FIRST Radio Galaxy Data Set Containing Curated Labels of Classes FRI, FRII, Compact and Bent“. Data in Brief.

Kummer, Janis, Lennart Rustige, Florian Griese, Kerstin Borras, Marcus Brüggen, Patrick L. S. Connor, Frank Gaede, Gregor Kasieczka, and 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).

Rustige, Lennart, Janis Kummer, Florian Griese, Kerstin Borras, Marcus Brüggen, Patrick L. S. Connor, Frank Gaede, Gregor Kasieczka, Tobias Knopp, and Peter Schleper. (2022) Morphological Classification of Radio Galaxies with wGAN-supported Augmentation“. arXiv.

Ungethüm, Annett, Martin Poppinga, and 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, and Lennart Rustige. (2021) „Hadrons, Better, Faster, Stronger“. arXiv.

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

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

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

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

Rustige, Lennart, Janis Kummer, and Florian Griese. (2022) „Radio Galaxy Classification with GAN-Supported Augmentation“. In The Summer School for Machine Learning in Engineering.

Rustige, Lennart, Janis Kummer, Florian Griese, Kerstin Borras, Marcus Brüggen, Patrick L. S. Connor, Frank Gaede, Gregor Kasieczka, Tobias Knopp, and Peter Schleper. (2022) „Morphological Classification of Radio Galaxies with wGAN-supported Augmentation“. arXiv.

CDL2

Hans G. Feichtinger and 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, and 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, and 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, and Konstantinos Tatas. (2021) „Resource-Aware Optimization of FPGA OpenCL Kernels“. 7th International Conference on Engineering and Emerging Technologies ICEET 2021.

Al-Zoubi, Ahmad, and Goerschwin Fey. (2022) „Low Latency Real-Time Inference for Multilayer Perceptrons on FPGAs“.

Al-Zoubi, Ahmad, Gianluca Martino, Fin H. Bahnsen, Jun Zhu, Holger Schlarb, and Goerschwin Fey. (2022) „CNN Implementation and Analysis on Xilinx Versal ACAP at European XFEL“. In 2022 IEEE 35th International System-on-Chip Conference (SOCC).

Martino, Gianluca, Ahmad Al Zoubi, Julien Branlard, Holger Schlarb, and Goerschwin Fey. (2022) „FPGA-based hardware acceleration of machine learning algorithms for particle accelerators“. Low-level RF Workshop.

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

Sulc, Antonin, Ole Johannsen, and 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, and 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, and Anthony Antoniou. (2022) „Reliable IoT-Based Monitoring and Control of Hydroponic Systems“. Technologies 10: 26.