Alexander Riedel
Alexander Riedel
Ernst-Abbe University of Applied Sciences Jena
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Cited by
Cited by
Pytorch geometric temporal: Spatiotemporal signal processing with neural machine learning models
B Rozemberczki, P Scherer, Y He, G Panagopoulos, A Riedel, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
A deep learning-based worker assistance system for error prevention: case study in a real-world manual assembly
A Riedel, J Gerlach, M Dietsch, S Herbst, F Engelmann, N Brehm, ...
Advances in Production Engineering & Management 16 (4), 393-404, 2021
Hand gesture recognition of methods-time measurement-1 motions in manual assembly tasks using graph convolutional networks
A Riedel, N Brehm, T Pfeifroth
Applied Artificial Intelligence 36 (1), 2014191, 2022
A beta-glucosidase of an insect herbivore determines both toxicity and deterrence of a dandelion defense metabolite
M Huber, T Roder, S Irmisch, A Riedel, S Gablenz, J Fricke, P Rahfeld, ...
Elife 10, e68642, 2021
Bag of Tricks for Training Brain-Like Deep Neural Networks
A Riedel
Computational and Systems Neuroscience (COSYNE) 2022, Brain-Score Workshop, 2022
Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses
J Granley, A Riedel, M Beyeler
SVRHM 2022 Workshop@ NeurIPS, 2022
Evaluating Augmented Reality, Deep Learning and Paper-Based Assistance Systems in Industrial Manual Assembly
A Riedel, J Gerlach, M Dietsch, F Engelmann, N Brehm, T Pfeifroth
IFIP International Conference on Advances in Production Management Systems …, 2023
Increasing Product Safety Through the use of Deep Learning in Manual Assembly
J Gerlach, A Riedel, F Engelmann
Open Conference Proceedings 2, 137-141, 2022
Montagegerechte Gestaltungsrichtlinien unter Anwendung von Objekterkennungsalgorithmen
J Gerlach, A Riedel, S Uslu, F Engelmann, N Brehm
21. Nachwuchswissenschaftler* innenkonferenz, 151, 2021
Montagegerechte Gestaltungsrichtlinien mittels Deep Learning
J Gerlach, A Riedel, S Uslu, F Engelmann, N Brehm
Steigerung der Produktsicherheit durch den Einsatz von Deep Learning in der manuellen Montage
J Gerlach, A Riedel, F Engelmann
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