Dr.-Ing. Richard Meyes, M.Sc.
Scientific Researcher
Head of the Research Field "Interpretable Learning Models"
Area of Research:
- Artificial Intelligence and Machine Learning for Industrial Appliations
- Predictive Analysis of Time Series Data in Industrial Sensor Systems
- Structured Representations in Artificial Neural Networks
Biography
Dr.-Ing. Richard Meyes has been a research associate at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal since December 2018. His research focuses on the development and investigation of artificial intelligence methods, with a focus on artificial neural networks, in various application fields, including automotive and manufacturing.
Publications
- 2022
- Hütten, N., Meyes, R., & Meisen, T. (2022). "Vision Transformer in Industrial Visual Inspection" , Applied Sciences , 12 (23), 11981.
- Alves Gomes, M., Meyes, R., Meisen, P., & Meisen, T. (2022). "Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings" in Proceedings of the 31st ACM International Conference on Information & Knowledge Management , New York, NY, USA : Association for Computing Machinery 2873—2882.
ISBN: 9781450392365
- 2021
- Ekeris, T., Meyes, R., & Meisen, T. (2021). "Discovering Heuristics And Metaheuristics For Job Shop Scheduling From Scratch Via Deep Reinforcement Learning" in Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL~2021) .
- Meyes, R., Hütten, N., & Meisen, T. (2021). "Transparent and Interpretable Failure Prediction of Sensor Time Series Data with Convolutional Neural Networks" , Procedia CIRP , 104 , 1446—1451.
- 2020
- Meyes, R., Schneider, M., & Meisen, T. (2020). "How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents" .
