| Ablation studies in artificial neural networks R Meyes, M Lu, CW de Puiseau, T Meisen arXiv preprint arXiv:1901.08644, 2019 | 78 | 2019 |
| 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 | 53 | 2017 |
| 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 | 18 | 2019 |
| 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 | 13 | 2018 |
| 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 | 12 | 2019 |
| 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 | 9 | 2020 |
| Continuous motion planning for industrial robots based on direct sensory input R Meyes, C Scheiderer, T Meisen Procedia CIRP 72, 291-296, 2018 | 9 | 2018 |
| Ablation of a Robot's Brain: Neural Networks Under a Knife PE Lillian, R Meyes, T Meisen arXiv preprint arXiv:1812.05687, 2018 | 5 | 2018 |
| 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 | 4 | 2019 |
| 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 | 2 | 2022 |
| Artificial Intelligence in Automotive Production R Meyes, H Tercan, T Meisen Mobility in a Globalised World 2018 22, 308-324, 2019 | 2 | 2019 |
| Gideon Replay: A library to replay interactions in web-applications T Langer, R Meyes, T Meisen SoftwareX 17, 100964, 2022 | 1 | 2022 |
| 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 | 1 | 2020 |
| 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 |
Tobias MeisenBergische Universität Wuppertal, previously RWTH Aachen UniversityBestätigte E-Mail-Adresse bei uni-wuppertal.de
