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Papers matching “training data” 3,500

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Training Dataset for SEST 2026 Submission: Influence of Training Data Selection on Data-Driven Power Quality Disturbance Classification Models
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Power Quality and Harmonics Open access

Markus Stroot

0

citations
Training Dataset for SEST 2026 Submission: Influence of Training Data Selection on Data-Driven Power Quality Disturbance Classification Models
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Power Quality and Harmonics Open access

Markus Stroot

0

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
RDM in Chemistry: How to Educate and Train Future Researchers to Manage Their Data
2023 Proceedings of the Conference on Research Data Infrastructure conference-paper Computer Science Research Data Management Practices Open access

Jochen Ortmeyer, Fabian Fink, Alexander Hoffmann, Sonja Herres‐Pawlis

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
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
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
Monitoring data-driven Reinforcement Learning controller training: A comparative study of different training strategies for a real-world energy system
2021 Energy and Buildings article Engineering Building Energy and Comfort Optimization

Thomas Schreiber, Christoph Netsch, Marc Baranski, Dirk Müller

22

citations
DMP4NFDI Training Guideline – How to Plan and Run a Workshop on Data Management Plans
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Research Data Management Practices Open access

Marisabel Gonzalez Ocanto, Leyla Jael Castro, Isabel A. Hohle, Sabine Schönau, David Wallace, Jürgen Windeck

0

citations
DMP4NFDI Training Guideline – How to Plan and Run a Workshop on Data Management Plans
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Research Data Management Practices Open access

Marisabel Gonzalez Ocanto, Leyla Jael Castro, Isabel Hohle, Sabine Schönau, David Wallace, Jürgen Windeck

0

citations
Metadata Schema for Research Data Management Training Materials
2020 Figshare dataset Computer Science Research Data Management Practices Open access

Katarzyna Biernacka, Karsten Peters, Sarah Ann Danker, Claudia Engelhardt, Kerstin Helbig, Sonja Hendriks, +15 more

1

citations
FAIR Lesson Plan Handbook : A framework for designing training programs on FAIR data
2025 Zenodo (CERN European Organization for Nuclear Research) other Computer Science Research Data Management Practices Open access

María Vivas-Romero, Paula Ramos‐Silva

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM Training: A Survey
2026 IEEE Transactions on Artificial Intelligence article Computer Science Topic Modeling

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Influence of Training Data Selection on Data-Driven Power Quality Disturbance Classification Models
2026 International Conference on Smart Energy Systems and Technologies (SEST) conference-paper Engineering Power Quality and Harmonics

Markus Stroot, Andreas Ulbig

0

citations
Distributed online training of data-driven combustion models in reactive flow simulations
2026 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Tim Munoz Andres

0

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
Capturing the Complex Relationship Between Internal and External Training Load: A Data-Driven Approach
2023 International Journal of Sports Physiology and Performance article Medicine Sports Performance and Training Open access

Stephan van der Zwaard, Ruby Otter, Matthias Kempe, Arno Knobbe, Inge K. Stoter

10

citations
Assessment of Simulated Data for Training Semantic Segmentation-based Perception Models in Construction
2025 Procedia Computer Science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Jorge Luis Jiménez Aparicio, David Böken, Johannes Sprink, Xiaoting Wang, Jürgen Roßmann

0

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

3

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

0

citations
Semantic segmentation in construction environments—SegFormer checkpoint and synthetic training data
2026 RWTH Publications (RWTH Aachen) dataset Computer Science Advanced Neural Network Applications Open access

Jorge Luis Jiménez Aparicio, Artem Bliznyuk, Böken David, Heinz-Jürgen Roßmann

0

citations
CNN training using additionally training data extracted from frames of endoscopic videos
2020 TUGraz OPEN Library (Graz University of Technology) data-paper Computer Science Advanced Neural Network Applications Open access

Georg Wimmer, Michael R. Hafner, Andreas Uhl

2

citations
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis Open access

Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney

4

citations