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Papers matching “deep learning training data” 54

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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
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
TopoBench: A Framework for Benchmarking Topological Deep Learning
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Lev Telyatnikov, Guillermo Bernárdez, Mustafa Hajij, Pavlo Vasylenko, Ghada Zamzmi, Michael T. Schaub, +4 more

0

citations
Towards General Deep Leakage in Federated Learning
2021 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jiahui Geng, Yongli Mou, Li Fei-Fei, Qing Li, Oya Beyan, Stefan Decker, +1 more

23

citations
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more

20

citations
Subcortical Segmentation of the Fetal Brain in 3D Ultrasound using Deep Learning
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Medical Image Segmentation Techniques Open access

Linde S. Hesse, Moska Aliasi, Felipe A. Moser, Monique C. Haak, Weidi Xie, Mark Jenkinson, +1 more

4

citations
The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more

25

citations
DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Marko van Treeck, Didem Çifçi, Narmin Ghaffari Laleh, Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Katherine Jane Hewitt, +9 more

13

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Learning to Search and Searching to Learn for Generalization in Planning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Michael Aichmüller, Yannik Hesse, Hector Geffner

2

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

citations
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study (Preprint)
2020 preprint Computer Science AI in cancer detection Open access

Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more

0

citations
Automated Dentate Nucleus Segmentation from QSM Images Using Deep Learning
2024 medRxiv preprint Computer Science Medical Image Segmentation Techniques Open access

Diogo H. Shiraishi, Susmita Saha, Isaac Mawusi Adanyeguh, Sirio Cocozza, Louise A. Corben, Andreas Deistung, +29 more

0

citations
A theory of data variability in Neural Network Bayesian inference
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias

0

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof

2

citations
In-context learning enables multimodal large language models to classify cancer pathology images
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, +5 more

1

citations
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
2021 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Jingnan Jia, Irene Hernandez Giron, Marius Staring, Berend C. Stoel

0

citations
A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Elouan Colybes, Shirin Salehi, Anke Schmeink

0

citations
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
2023 medRxiv preprint Computer Science AI in cancer detection Open access

Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more

12

citations
Cautious optimism for deep parameterized quantum circuits
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Marie Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto, Aroosa Ijaz, Alissa Wilms, Jens Eisert, +2 more

1

citations