Responses to reviews of "Performance evaluation of adaptive introgression classification methods" v1 manuscript

Responses to reviews of ‘Performance evaluation of adaptive introgression classification methods’ v1 manuscript (Romieu et al., 2024, https://doi.org/10.1101/2024.06.12.598278). Questions and comments are in black and answers in red.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-27
DOI
https://doi.org/10.5281/zenodo.14229229
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Responses to reviews of "Performance evaluation of adaptive introgression classification methods" v1 manuscript

Zenodo (CERN European Organization for Nuclear Research)
Imbalanced Data Classification Techniques
article

Responses to reviews of "Performance evaluation of adaptive introgression classification methods" v1 manuscript

article en

Abstract

Responses to reviews of ‘Performance evaluation of adaptive introgression classification methods’ v1 manuscript (Romieu et al., 2024, https://doi.org/10.1101/2024.06.12.598278). Questions and comments are in black and answers in red.

Zenodo (CERN European Organization for Nuclear Research)
Université de Montpellier (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centre d'Écologie Fonctionnelle et Évolutive (FR), Institute of History of Mediterranean Europe (IT), Centre de Biologie pour la Gestion des Populations (FR)
Reduced inequalities
Openalex Percentile: Top 61%
Imbalanced Data Classification Techniques
DOIOpen Access PDFOpenAlex
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Responses to reviews of "Performance evaluation of adaptive introgression classification methods" v1 manuscript · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS