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Iterated Relevance Matrix Analysis for improved robustness in prototype-based learning schemes

https://doi.org/10.2139/ssrn.5570332
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inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1007/978-3-319-28518-4_27openalex-snapshot
A Study on GMLVQ Convex and Non-convex Regularization
inferredcites →https://doi.org/10.1007/978-3-642-56927-2openalex-snapshot
Self-Organizing Maps
inferredcites →https://doi.org/10.1007/s00259-025-07114-4openalex-snapshot
IRMA: Machine learning-based harmonization of $$^{18}$$F-FDG PET brain scans in multi-center studies
inferredcites →https://doi.org/10.1016/j.artmed.2024.102786openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.cmpb.2022.107042openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.dss.2009.05.016openalex-snapshot
Modeling wine preferences by data mining from physicochemical properties
inferredcites →https://doi.org/10.1016/j.jsbmb.2023.106445openalex-snapshot
Urine steroid metabolomics as a diagnostic tool in primary aldosteronism
inferredcites →https://doi.org/10.1016/j.neucom.2017.11.074openalex-snapshot
Interpretation of linear classifiers by means of feature relevance bounds
inferredcites →https://doi.org/10.1016/j.neucom.2018.12.076openalex-snapshot
Galaxy classification: A machine learning analysis of GAMA catalogue data
inferredcites →https://doi.org/10.1016/j.neucom.2019.12.131openalex-snapshot
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability
inferredcites →https://doi.org/10.1016/j.neunet.2011.10.001openalex-snapshot
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
inferredcites →https://doi.org/10.1016/j.neuroimage.2011.12.071openalex-snapshot
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease
inferredcites →https://doi.org/10.1016/j.neuroimage.2015.07.075openalex-snapshot
Implementation of a new parcellation of the orbitofrontal cortex in the automated anatomical labeling atlas
inferredcites →https://doi.org/10.1016/j.nic.2005.09.008openalex-snapshot
The Alzheimer's Disease Neuroimaging Initiative
inferredcites →https://doi.org/10.1016/j.nicl.2014.11.007openalex-snapshot
Volume of interest-based [18F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer's disease from healthy controls. A European Alzheimer's Disease Consortium (EADC) study
inferredcites →https://doi.org/10.1021/ci4000213openalex-snapshot
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inferredcites →https://doi.org/10.1038/s41467-022-28795-7openalex-snapshot
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inferredcites →https://doi.org/10.1097/rlu.0b013e318279b991openalex-snapshot
Regions of Interest–Based Discriminant Analysis of DaTSCAN SPECT and FDG-PET for the Classification of Dementia
inferredcites →https://doi.org/10.1109/access.2021.3087231openalex-snapshot
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Expression of chemokines CXCL4 and CXCL7 by synovial macrophages defines an early stage of rheumatoid arthritis
inferredcites →https://doi.org/10.1162/neco.2009.11-08-908openalex-snapshot
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inferredcites →https://doi.org/10.1186/s13040-018-0188-2openalex-snapshot
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