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Papers matching “training data generation” 816

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Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets
2022 Computers & Geosciences article Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

30

citations
Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets
2021 preprint Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

2

citations
Synthetic image data generation for the training of a segmentation algorithm for machine tool recognition
2025 Proceedings of the Annual Conference of the IEEE Industrial Electronics Society conference-paper Computer Science Advanced Neural Network Applications

Manuel Belke, Oliver Petrović, Christian Brecher

0

citations
Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles
2021 conference-paper Engineering Autonomous Vehicle Technology and Safety cited by 1 patent

Robert Krajewski, Lennart Vater, Marvin Klimke, Tobias Moers, Julian Bock, Lutz Eckstein

4

citations
Fault detection and diagnosis in building energy systems: A tool chain for the automated generation of training data
2021 Journal of Physics Conference Series conference-paper Engineering Fault Detection and Control Systems Open access

Christine van Stiphoudt, Florian Stinner, Gerrit Bode, Alexander Kümpel, Dirk Müller

4

citations
Cycloidal CT with CNN-based sinogram completion and in-scan generation of training data
2022 Scientific Reports article Medicine Medical Imaging Techniques and Applications Open access

Daniël M. Pelt, Oriol Roche i Morgó, Charlotte Maughan Jones, Alessandro Olivo, Charlotte Klara Hagen

5

citations
Generating a pixel-wise annotated training dataset to train ML algorithms for mineral identification in rock thin sections
2020 conference-abstract Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Joyce Schmatz, Marven von Domarus, Mingze Jiang, Simon Virgo, Bastian Leibe, +1 more

0

citations
Generation of Virtual Test Scenarios for Training and Validation of AI-based Systems
2021 IEEE International Conference on Progress in Informatics and Computing conference-paper Engineering Simulation and Modeling Applications

Tobias Osterloh, Jürgen Roßmann

10

citations
Towards the application of operational design domain based scene generation for artificial intelligence training in railway automation
2024 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Engineering Autonomous Vehicle Technology and Safety

Till Mersmann, Friedrich Betz, Julian Eichenbaum, Simon Klamt, Yannick Otten, Ingrid Scholl, +1 more

2

citations
Bridging the sim2real gap: Training deep neural networks for heliostat detection with purely synthetic data
2025 Solar Energy article Computer Science Advanced Neural Network Applications Open access

Rafal Broda, Alexander Schnerring, Dominik Schnaus, M. Nieslony, Julian J. Krauth, Marc Röger, +3 more

5

citations
Investigating the generation of synthetic data for surface defect detection: A comparative analysis
2024 Procedia CIRP article Engineering Industrial Vision Systems and Defect Detection Open access

Josefine Monnet, Oliver Petrović, Werner Herfs

3

citations
An Approach to Abstract Multi-stage Cyberattack Data Generation for ML-Based IDS in Smart Grids
2023 conference-paper Engineering Smart Grid Security and Resilience Open access

Ömer Sen, Philipp Malskorn, Simon Glomb, Immanuel Hacker, Martin Henze, Andreas Ulbig

2

citations
Generating a pixel-wise annotated training dataset to train ML algorithms for mineral identification in rock thin sections
2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Geochemistry and Geologic Mapping Open access

Jiaxin Yu, Joyce Schmatz, Marven von Domarus, Mingze Jiang, Simon Virgo, Bastian Leibe, +1 more

0

citations
CT-based data generation for foreign object detection on a single X-ray projection
2023 Scientific Reports article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent

Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg

10

citations
Synthetic Data Generation for AI-Informed End-of-Line Testing for Lithium-Ion Battery Production
2025 World Electric Vehicle Journal article Engineering Advanced Battery Technologies Research Open access

Tessa Krause, Daniel Nusko, Johannes Rittmann, Luciana Pitta Bauermann, Moritz Kroll, Carlo Holly

7

citations
Synthetic Data Generation for AI-Informed End-of-Line Testing for Lithium-Ion Battery Production
2025 Preprints.org preprint Engineering Advanced Battery Technologies Research Open access

Tessa Krause, Daniel Nusko, Johannes Rittmann, Luciana Pitta Bauermann, Moritz Kroll, Carlo Holly

3

citations
Synthetic rainfall data generator development through decentralised model training
2022 Journal of Hydrology article Environmental Science Hydrological Forecasting Using AI Open access

Sascha Welten, Adrian Holt, Julian Hofmann, Lennart Schelter, Elena‐Maria Klopries, Thomas Wintgens, +1 more

7

citations
Quantifying the effect of X-ray scattering for data generation in real-time defect detection
2024 Journal of X-Ray Science and Technology article Engineering Non-Destructive Testing Techniques Open access

Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg

3

citations
Scenario-Driven Data Generation with Experimentable Digital Twins
2023 Springer eBooks conference-paper Engineering Digital Transformation in Industry Open access

Osama Maqbool, Jürgen Roßmann

1

citations
Automatic digital twin data model generation of building energy systems from piping and instrumentation diagrams
2021 arXiv (Cornell University) preprint Engineering BIM and Construction Integration Open access

Florian Stinner, Martin Wiecek, Marc Baranski, Alexander Kümpel, Dirk Müller

5

citations
From Measurement Instruments to Data: Leveraging Theory-Driven Synthetic Training Data for Classifying Social Constructs
2024 arXiv (Cornell University) preprint Social Sciences Computational and Text Analysis Methods Open access

Lukas Birkenmaier, Matthias Roth, Indira Sen

0

citations
Using Synthetic Training Data in Neural Networks for the Estimation of Fiber Orientation Distribution Functions from Single Shell Data
2023 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Advanced Neuroimaging Techniques and Applications

Amelie Rauland, Dorit Merhof

2

citations
There is no mouse: using a virtual mouse to generate training data for video-based pose estimation
2021 Lab Animal article Computer Science Human Pose and Action Recognition

Guido T. Meijer, Jaime Arlandis, Anne E Urai

0

citations
MIDIs and Checkpoints for "Hierarchical Diffusion Models to Generate Synthetic Training Data for Chord Recognition"
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Music and Audio Processing Open access

P. Selz

0

citations
MIDIs and Checkpoints for "Hierarchical Diffusion Models to Generate Synthetic Training Data for Chord Recognition"
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Music and Audio Processing Open access

P. Selz

0

citations