Papers matching “deep learning training data” 100
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Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more
0citations -
Synthetic Data-Driven Deep Learning for Industrial Surface Inspection: Advancing Beyond Classical Computer Vision2026 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Engineering Industrial Vision Systems and Defect Detection Open access
Josefine Monnet, Ludwig Tonn, Elen Ayanyan, Oliver Petrović, Werner Herfs, Christian Brecher
0citations -
Comparison of deep learning and hand crafted features for mining simulation data2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Physics and Astronomy Model Reduction and Neural Networks
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
1citations -
Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on Lidar Data2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) conference-paper Earth and Planetary Sciences Archaeological Research and Protection
Gregory Sech, Paolo Soleni, Wouter Verschoof‐van der Vaart, Žiga Kokalj, Arianna Traviglia, Marco Fiorucci
3citations -
Deep Transfer Learning for 5G Massive MIMO Downlink CSI Feedback2021 IEEE Wireless Communications and Networking Conference conference-paper Engineering Advanced MIMO Systems Optimization cited by 4 patents
Jun Zeng, Zhengran He, Jinlong Sun, Bamidele Adebisi, Haris Gacanin, Guan Gui, +1 more
8citations -
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection261citations
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A deep reinforcement learning approach to wavefront control for exoplanet imaging2024 Space Telescopes and Instrumentation: Optical, Infrared, and Millimeter Wave conference-paper Physics and Astronomy Adaptive optics and wavefront sensing Open access
Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja
1citations -
Sim2Real Deep Reinforcement Learning of Compliance-based Robotic Assembly Operations2022 International Conference on Methods and Models in Automation and Robotics conference-paper Computer Science Reinforcement Learning in Robotics
Oliver Petrović, Lukas Schäper, Simon Roggendorf, Simon Storms, Christian Brecher
10citations -
Lessons Learned from a Field Study on Deep-Learning-Based Model Predictive Control for Optimizing the Operation of Façade Ventilation Units2025 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Clara-Larissa Lorenz, Oliver Abele, Jérôme Frisch, Christoph van Treeck
0citations -
Anomaly Detection in Intensive Care Unit Data: A Comparative Analysis2026 International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Simon Fonck, Lavinia Goldermann, Sebastian Johannes Fritsch, Lena Olivier, André Stollenwerk
0citations -
3D Obstacle Avoidance For Autonomous Underwater Vehicles Using Deep Reinforcement Learning With Mixture-of-Experts Architecture0citations
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Learning multimodal explainable AI models from medical images and tabular data: proof of concept2025 SPIE Medical Imaging: Image Processing conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Influence of deep learning reconstruction on task-based model observer performance in CT: an anthropomorphic head phantom study2022 SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment conference-paper Medicine Medical Imaging Techniques and Applications
Irene Hernandez Giron, Touko T. Kaasalainen, Teemu O. Mäkelä, Juha T.K. Peltonen, Mika Kortesniemi
1citations