Papers matching “deep learning training data” 641
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Interacting Federated and Transfer Learning-Aided CSI Prediction for Intelligent Cellular Networks2023 IEEE Transactions on Vehicular Technology article Engineering Advanced MIMO Systems Optimization cited by 1 patent
Jinlong Sun, Yibin Zhang, Guan Gui, Haitao Zhao, Haris Gacanin, Hikmet Sari
13citations -
Morphological classification of radio galaxies with Wasserstein generative adversarial network-supported augmentation2023 RAS Techniques and Instruments article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Lennart Rustige, Janis Kummer, Florian Griese, K. Borras, M. Brüggen, Patrick Connor, +4 more
14citations -
The PAU Survey: Photometric redshifts using transfer learning from simulations2020 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Martin Eriksen, Alex Alarcon, Laura Cabayol, J. Carretero, R. Casas, Francisco Javier Castander, +12 more
39citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
0citations -
Knowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey2024 Brain and Spine article Medicine Artificial Intelligence in Healthcare and Education Open access
Alessandro Boaro, Elisabetta Mezzalira, Francesca Siddi, C. Bagattini, N. Gabrovsky, Nicolò Marchesini, +8 more
4citations -
Uncertainty-Aware Federated Learning for Joint Communication and Computation in XR Systems2026 IEEE Transactions on Mobile Computing article Computer Science Privacy-Preserving Technologies in Data Open access
Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad, Haris Gacanin, Aydin Sezgin
0citations -
Exploiting Generative Models for Performance Predictions of 3D Car Designs2021 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis Open access cited by 3 patents
Sneha Saha, Thiago Rios, Leandro Lei Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, +3 more
11citations -
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access
Dan Biderman, Matthew R Whiteway, Cole Hurwitz, Nicholas Greenspan, Ankit Vishnubhotla, Richard A. Warren, +13 more
18citations -
A Study on Data Augmentation Techniques for Visual Defect Detection in Manufacturing2023 Technologien für die intelligente Automation book-chapter Engineering Industrial Vision Systems and Defect Detection Open access
Lars Leyendecker, Thorben Werner, Maximilian Motz, Robert Heinrich Schmitt
4citations -
Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction2022 Physics in Medicine and Biology article Medicine Advanced MRI Techniques and Applications Open access
Dimitrios Karkalousos, Samantha Noteboom, Hanneke E. Hulst, Franciscus M. Vos, Matthan W.A. Caan
13citations