Papers matching “neural network prediction” 181
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GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
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Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey2024 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Priyanka Gawade, Anupreeta More, Surhud More, Akisato Kimura, Alessandro Sonnenfeld, Masamune Oguri, +1 more
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Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields2024 arXiv (Cornell University) preprint Neuroscience Brain Tumor Detection and Classification Open access
Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik Frans Hensen, +2 more
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Zero-Shot Metabolite Prediction from Gene Expression via Physics-Informed Graph Neural Networks2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks Open access
Claudio Novella-Rausell, Ton J. Rabelink, Ahmed Essam Mahfouz
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Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks2021 arXiv (Cornell University) preprint Medicine Systemic Sclerosis and Related Diseases Open access
Jingnan Jia, Marius Staring, Irene Hernandez Giron, Lucia J.M. Kroft, Anne A. Schouffoer, Berend C. Stoel
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Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
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Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 RWTH Publications (RWTH Aachen) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
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Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access
Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe
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A unifying model to predict variable drug response for personalised medicine2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Pharmacology, Toxicology and Pharmaceutics Pharmacogenetics and Drug Metabolism Open access
Maaike van der Lee, William G. Allard, Rolf H. A. M. Vossen, Renée F. Baak-Pablo, Roberta Menafra, Birgit A. L. M. Deiman, +8 more
15citations