Papers matching “machine learning framework” 113
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An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer2025 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies Open access
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R. Pond, Lisa Vandermeer, John Frederick Hilton, +17 more
0citations -
Euclid preparation - LXVIII. Extracting physical parameters from galaxies with machine learning2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
I. Kovačić, M. Baes, Angelos Nersesian, Nick Andreadis, L. Nemani, Laura Bisigello, +78 more
0citations -
Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning2026 arXiv (Cornell University) preprint Computer Science Target Tracking and Data Fusion in Sensor Networks Open access
Yanjun Ji, Dennis Willsch, Orkun Şensebat, Priyanka Arkalgud Ganeshamurthy, Zhi Pei, M. Sahnawaz Alam, +5 more
0citations -
A causal perspective on Machine Learning for concrete quality predictions and data-driven mixture optimization2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Anil Esen, Elsa Qoku, Thomas Matschei, Chiara Masiero, Gian Antonio Susto
0citations -
Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Jovan Tanevski, Ricardo O. Ramirez Flores, Attila Gábor, Denis Schapiro, Julio Sáez-Rodríguez
28citations -
Next-generation phenotyping integrated in a national framework for patients with ultra-rare disorders improves genetic diagnostics and yields new molecular findings2023 medRxiv preprint Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Axel Schmidt, Magdalena Danyel, Kathrin Grundmann, Theresa Brunet, Hannah Klinkhammer, Tzung‐Chien Hsieh, +94 more
15citations -
Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data2021 Research Square preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Jovan Tanevski, Attila Gábor, Ricardo Ramirez Flores, Denis Schapiro, Julio Sáez-Rodríguez
10citations -
Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision2026 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access
Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad Lotfinia, Sven Nebelung, Daniel Truhn
0citations -
A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix2025 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Liwei Zhang, Patrizia Mazzeo, Michele Nottoli, Edoardo Cignoni, Lorenzo Cupellini, Benjamin Stamm
1citations