Author response of: Explainable AI for marine ecological quality prediction: Integrating microbiome data, metadata, and diversity. Round#1

A recommendation of: H. Braikia, S. Ben Hamida, M. Rukoz Explainable AI for marine ecological quality prediction: Integrating microbiome data, metadata, and diversity https://hal.science/hal-05046103v1

Authors

Publication Details

Journal
Peer Community In Genomics
Published
2026-01-15
DOI
https://doi.org/10.24072/pci.genomics.100442.ar1
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Author response of: Explainable AI for marine ecological quality prediction: Integrating microbiome data, metadata, and diversity. Round#1

M. Rukoz, S. Ben Hamida, H. Braikia
Peer Community In Genomics
Machine Learning in Materials Science
article

Author response of: Explainable AI for marine ecological quality prediction: Integrating microbiome data, metadata, and diversity. Round#1

M. Rukoz, S. Ben Hamida, H. Braikia
article en

Abstract

A recommendation of: H. Braikia, S. Ben Hamida, M. Rukoz Explainable AI for marine ecological quality prediction: Integrating microbiome data, metadata, and diversity https://hal.science/hal-05046103v1

Peer Community In Genomics
Life below water
Openalex Percentile: Top 67%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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Author response of: Explainable AI for marine ecological quality prediction: Integrating microbiome data, metadata, and diversity. Round#1 — M. Rukoz, S. Ben Hamida, et al. · Peer Community In Genomics (2026) | TGRS Research Map | TGRS