Richard Meyes
Bergische Universität Wuppertal
H-index: 10
Europe-Germany
Top articles of Richard Meyes
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Guided Exploration of Industrial Sensor Data | Computer Graphics Forum | Tristan Langer Richard Meyes Tobias Meisen | 2024/1/29 |
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers | Nils Hütten Miguel Alves Gomes Florian Hölken Karlo Andricevic Richard Meyes | 2024/1/22 | |
It’s Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation | Journal of Theoretical and Applied Electronic Commerce Research | Miguel Alves Gomes Richard Meyes Philipp Meisen Tobias Meisen | 2024/1/12 |
Transparent and Interpretable State of Health Forecasting of Lithium-Ion Batteries with Deep Learning and Saliency Maps | International Journal of Energy Research | Friedrich von Bülow Yannik Hahn Richard Meyes Tobias Meisen | 2023/9/6 |
Time Series Dataset Survey for Forecasting with Deep Learning | Forecasting | Yannik Hahn Tristan Langer Richard Meyes Tobias Meisen | 2023/3/3 |
On reliability of reinforcement learning based production scheduling systems: a comparative survey | Constantin Waubert de Puiseau Richard Meyes Tobias Meisen | 2022/4 | |
Transfer Studies | Richard Meyes | 2022/11/27 | |
Gideon Replay: A library to replay interactions in web-applications | SoftwareX | Tristan Langer Richard Meyes Tobias Meisen | 2022/1/1 |
Transparency and Interpretability for Learned Representations of Artificial Neural Networks | Richard Meyes | 2022/11/26 | |
Methods and Terminology | Richard Meyes | 2022/11/27 | |
Vision transformer in industrial visual inspection | Applied Sciences | Nils Hütten Richard Meyes Tobias Meisen | 2022/11/23 |
Critical Reflection & Outlook | Richard Meyes | 2022/11/27 | |
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings | Miguel Alves Gomes Richard Meyes Philipp Meisen Tobias Meisen | 2022/10/17 | |
Background & Foundations | Richard Meyes | 2022/11/27 | |
Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data | Tristan Langer Viktor Welbers Yannik Hahn Mark Wönkhaus Richard Meyes | 2022/4/25 | |
Research Studies | Richard Meyes | 2022/11/27 | |
Transparent and interpretable failure prediction of sensor time series data with convolutional neural networks | Procedia CIRP | Richard Meyes Nils Hütten Tobias Meisen | 2021/1/1 |
Discovering heuristics and metaheuristics for job shop scheduling from scratch via deep reinforcement learning | ESSN: 2701-6277 | Tilo Van Ekeris Richard Meyes Tobias Meisen | 2021 |
Under the hood of neural networks: Characterizing learned representations by functional neuron populations and network ablations | arXiv preprint arXiv:2004.01254 | Richard Meyes Constantin Waubert de Puiseau Andres Posada-Moreno Tobias Meisen | 2020/4/2 |
How do you act? an empirical study to understand behavior of deep reinforcement learning agents | arXiv preprint arXiv:2004.03237 | Richard Meyes Moritz Schneider Tobias Meisen | 2020/4/7 |
Co-Authors
