Application of Supervised Machine Learning Models for the Identification of the Anxiolytic-like Effect Produced by Progesterone in Wistar Rats-Reference-Cited by-同舟云学术

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Application of Supervised Machine Learning Models for the Identification of the Anxiolytic-like Effect Produced by Progesterone in Wistar Rats

Published:2021-11-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
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Author:

Isidro Vargas-Moreno¹,Martha Lorena Avendano-Garrido²,Hector Gabriel Acosta-Mesa³,Rafael Fernandez-Demeneghi¹,Juan Francisco Rodriguez-Landa⁴,Socorro Herrera-Meza⁵

Affiliation:

1. Universidad Veracruzana, UV,Programa de Doctorado en Neuroetología, Instituto de Neuroetología,Xalapa,México

2. Universidad Veracruzana, UV,Facultad de Matemáticas,Xalapa,México

3. Universidad Veracruzana, UV,Instituto de Investigaciones en, Inteligencia Artificial,Xalapa,México

4. Universidad Veracruzana, UV,Instituto de Neuroetología,Xalapa,México

5. Universidad Veracruzana, UV,Instituto de Investigaciones Psicológicas,Xalapa,México

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9667775/9667963/09668018.pdf?arnumber=9668018

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