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Richard Meyes
Richard Meyes
Bestätigte E-Mail-Adresse bei uni-wuppertal.de
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Zitiert von
Zitiert von
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Ablation studies in artificial neural networks
R Meyes, M Lu, CW de Puiseau, T Meisen
arXiv preprint arXiv:1901.08644, 2019
782019
Motion planning for industrial robots using reinforcement learning
R Meyes, H Tercan, S Roggendorf, T Thiele, C Büscher, M Obdenbusch, ...
Procedia CIRP 63, 107-112, 2017
532017
Multi-agent reinforcement learning for job shop scheduling in flexible manufacturing systems
S Baer, J Bakakeu, R Meyes, T Meisen
2019 Second International Conference on Artificial Intelligence for …, 2019
182019
Interdisciplinary data driven production process analysis for the internet of production
R Meyes, H Tercan, T Thiele, A Krämer, J Heinisch, M Liebenberg, G Hirt, ...
Procedia Manufacturing 26, 1065-1076, 2018
132018
A recurrent neural network architecture for failure prediction in deep drawing sensory time series data
R Meyes, J Donauer, A Schmeing, T Meisen
Procedia Manufacturing 34, 789-797, 2019
122019
Under the hood of neural networks: Characterizing learned representations by functional neuron populations and network ablations
R Meyes, CW de Puiseau, A Posada-Moreno, T Meisen
arXiv preprint arXiv:2004.01254, 2020
92020
Continuous motion planning for industrial robots based on direct sensory input
R Meyes, C Scheiderer, T Meisen
Procedia CIRP 72, 291-296, 2018
92018
Ablation of a Robot's Brain: Neural Networks Under a Knife
PE Lillian, R Meyes, T Meisen
arXiv preprint arXiv:1812.05687, 2018
52018
Ablation studies to uncover structure of learned representations in artificial neural networks
R Meyes, M Lu, CW de Puiseau, T Meisen
Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2019
42019
On reliability of reinforcement learning based production scheduling systems: a comparative survey
C Waubert de Puiseau, R Meyes, T Meisen
Journal of Intelligent Manufacturing 33 (4), 911-927, 2022
22022
Artificial Intelligence in Automotive Production
R Meyes, H Tercan, T Meisen
Mobility in a Globalised World 2018 22, 308-324, 2019
22019
Gideon Replay: A library to replay interactions in web-applications
T Langer, R Meyes, T Meisen
SoftwareX 17, 100964, 2022
12022
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
R Meyes, M Schneider, T Meisen
arXiv preprint arXiv:2004.03237, 2020
12020
Transparent and Interpretable Failure Prediction of Sensor Time Series Data with Convolutional Neural Networks
R Meyes, N Hütten, T Meisen
Procedia CIRP 104, 1446-1451, 2021
2021
Discovering Heuristics And Metaheuristics For Job Shop Scheduling From Scratch Via Deep Reinforcement Learning
T van Ekeris, R Meyes, T Meisen
ESSN: 2701-6277, 2021
2021
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