Autoencoder reconstruction results using an exponential distribution. PFS prediction and ROC metrics for the PCA model [Dataset]

Autoencoder reconstruction results using an exponential distribution. PFS prediction and ROC metrics for the PCA model.

Publication Details

Journal
DIGITAL.CSIC (Spanish National Research Council (CSIC))
Published
2025-05-15
DOI
https://doi.org/10.1371/journal.pone.0321045.s001
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Autoencoder reconstruction results using an exponential distribution. PFS prediction and ROC metrics for the PCA model [Dataset]

DIGITAL.CSIC (Spanish National Research Council (CSIC))
Imbalanced Data Classification Techniques
article

Autoencoder reconstruction results using an exponential distribution. PFS prediction and ROC metrics for the PCA model [Dataset]

article en

Abstract

Autoencoder reconstruction results using an exponential distribution. PFS prediction and ROC metrics for the PCA model.

DIGITAL.CSIC (Spanish National Research Council (CSIC))
Openalex Percentile: Top 20%
Imbalanced Data Classification Techniques
DOIOpen Access PDFOpenAlex
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