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Papers matching “model learning” 5,158

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Encrypted federated learning for secure decentralized collaboration in cancer image analysis
2022 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Anton Müller‐Franzes, Firas Khader, Philip Quirke, +21 more

7

citations
Similarity assessment and model migration for measurement processes
2023 International Journal of Quality & Reliability Management article Decision Sciences Scientific Measurement and Uncertainty Evaluation

Meike Huber, Dhruv Agarwal, Robert Heinrich Schmitt

3

citations
Twelve quick tips for applying deep learning to animal sounds
2026 PLoS Computational Biology article Computer Science Music and Audio Processing Open access

Burooj Ghani, A. Leonie Baier, Vincent J. Kalkman, Dan Stowell

1

citations
Improving the Performance of Robust Control through Event-Triggered Learning
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Engineering Control Systems and Identification Open access

Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

1

citations
Data-Driven Nonlinear Model Reduction Using Koopman Theory: Integrated Control Form and NMPC Case Study
2022 IEEE Control Systems Letters article Physics and Astronomy Model Reduction and Neural Networks Open access

Jan C. Schulze, Alexander Mitsos

17

citations
The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated Driving
2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Engineering Control and Dynamics of Mobile Robots Open access

Henrik Hose, Jan Weisgerber, Sebastian Trimpe

4

citations
Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines
2021 IEEE International Symposium on Industrial Electronics (ISIE) conference-paper Engineering Control Systems and Identification

Muzaffer Ay, Max Schwenzer, Dirk Abell, Thomas Bergs

6

citations
Quantum Deep Learning: A Comprehensive Review
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, +7 more

5

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Tara Esterl, Yuchen Tao, +4 more

0

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Fabian Leimgruber, Tara Esterl, +5 more

0

citations
The Impact of Robust Learning on Unsupervised Image Classification
2025 Signal Processing and Communications Applications Conference (SIU) conference-paper Computer Science Advanced Neural Network Applications

Ayça Şirin Kındap, Marc Hilbert

0

citations
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection
2026 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann

0

citations
Reproducible Model Sharing for AI Practitioners
2021 conference-paper Decision Sciences Scientific Computing and Data Management Open access

Amin Moradi, Alexandru Uta

3

citations
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
2023 RWTH Publications (RWTH Aachen) preprint Engineering Control Systems and Identification Open access

Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Sebastian Trimpe

1

citations
Lithium-ion battery anomaly detection with variational autoencoder based on feature representation learning
2026 Journal of Energy Storage article Engineering Battery Modeling and Management Open access

Wenbin Li, Yue Yang, Stefan Pischinger

5

citations
Machine Learning-Based Dynamic Modeling of Ball Joint Friction for Real-Time Applications
2025 Lubricants article Engineering Vehicle Dynamics and Control Systems Open access

Kai Pfitzer, Lucas Rath, Sebastian Kolmeder, Burkhard J. Corves, Günther Prokop

5

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024 BMJ article Decision Sciences Meta-analysis and systematic reviews Open access cited by 3 patents

Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman, Richard D Riley, Andrew L. Beam, Ben Van Calster, +27 more

3,889

citations
On factors that influence deep learning-based dose prediction of head and neck tumors
2025 Physics in Medicine and Biology article Physics and Astronomy Advanced Radiotherapy Techniques Open access

Ruochen Gao, Prerak Mody, Chinmay Rao, Frank J. W. M. Dankers, Marius Staring

4

citations
THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Advanced Graph Neural Networks Open access

Yixin Peng, Diego Collarana, 金儿, Stefan Decker

0

citations
Machine learning enhanced optimisation of crash box design for crashworthiness analysis
2023 PAMM article Engineering Transportation Safety and Impact Analysis Open access

Aditya Borse, Rutwik Gulakala, Marcus Stoffel

8

citations
A new CPT virtual calibration chamber in sand based on Machine learning algorithms
2024 preprint Engineering Geotechnical Engineering and Soil Mechanics Open access

Mingpeng Liu, Enci Sun, Ningning Zhang, Fengwen Lai, Raúl Fuentes

1

citations
A deep reinforcement learning approach to wavefront control for exoplanet imaging
2024 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

1

citations
A Deep Reinforcement Learning Approach to Wavefront Control for Exoplanet Imaging
2024 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja

0

citations
Lightweight Automatic Modulation Classification Based on Decentralized Learning
2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification

Xue Gang Fu, Guan Gui, Yu Wang, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, Haris Gacanin, +1 more

96

citations