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Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Di...

Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Di...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0bd2a92ff341451e80de217ed653e1d4

Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Disease Data

About this item

Full title

Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Disease Data

Publisher

Switzerland: MDPI AG

Journal title

Applied sciences, 2022-07, Vol.12 (13), p.6670

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Accurate detection is still a challenge in machine learning (ML) for Alzheimer’s disease (AD). Class imbalance in imbalanced AD data is another big challenge for machine-learning algorithms working under the assumption that the data are evenly distributed within classes. Here, we present a hyperparameter tuning workflow with high-performance comput...

Alternative Titles

Full title

Hyperparameter Tuning with High Performance Computing Machine Learning for Imbalanced Alzheimer’s Disease Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0bd2a92ff341451e80de217ed653e1d4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0bd2a92ff341451e80de217ed653e1d4

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app12136670

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