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Data-driven decoding of quantum error correcting codes using graph neural networks2025 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access
Moritz Lange, Pontus Havström, Basudha Srivastava, Isak Bengtsson, Valdemar Bergentall, Karl Hammar, +3 more
24citations -
Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software2024 Journal of Magnetic Resonance article Computer Science Image and Signal Denoising Methods Open access
Chloé Najac, Beatrice Lena, Thomas O’Reilly, Yiming Dong, Peter Börnert, Hieab H.H. Adams, +1 more
12citations -
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data2022 International Conference on Computer and Automation Engineering conference-paper Computer Science Seismology and Earthquake Studies Open access
Fan Yang, Marios Kefalas, Anna V. Kononova, Yanan Qiao, Thomas Bäck
11citations -
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models2024 Flow Turbulence and Combustion article Computer Science Evolutionary Algorithms and Applications Open access
Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more
3citations -
Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data2023 arXiv (Cornell University) preprint Computer Science User Authentication and Security Systems Open access
Vivek C Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O’Brien, Louis B. Rosenberg, +1 more
4citations -
Segmenting beyond the imaging data: creation of anatomically valid edentulous mandibular geometries for surgical planning using artificial intelligence2025 Clinical Oral Investigations article Computer Science Medical Image Segmentation Techniques Open access
Stefan Raith, Tobias Pankert, Srikrishna Jaganathan, Kristina Pankert, Hyun Lee, Florian Peters, +2 more
2citations -
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access
Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden, Peter A. N. Bosman, Tanja Alderliesten
0citations