Stalin Muñoz - Concepedia

Author

Stalin Muñoz

Universidad Nacional Autónoma de México ORCID

Also Known As

Muñoz, Stalin, S. Munoz-Gutierrez, S. Muñoz, Stalin Munoz, Stalin Muñoz, Stalin Muñoz Gutiérrez

Publications

316

Citations

H-Index

Concepts

All Affiliations

Universidad Nacional Autónoma de México Genetic Improvement and Adaptation of Mediterranean and Tropical Plants Institut national de recherche en sciences et technologies du numérique Centre de Coopération Internationale en Recherche Agronomique pour le Développement

About

Stalin Muñoz is an author at Universidad Nacional Autónoma de México specializing in engineering, robotics, and mechanical systems.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	111
2	Health Sciences	2	2	58
3	Biostatistics	1	1	15
4	Computer Science	1	1	15
5	Data Science	1	1	15

Stalin Muñoz

Publications

155

Citations

H-Index

Page 1

	Year	Citations
A first approach to tactile texture recognition Walterio Mayol‐Cuevas, J. Juarez-Guerrero, Stalin Muñoz EngineeringTactile Texture RecognitionBiometricsWearable TechnologyHaptic Technology	2002	47
The combination of the functionalities of feedback circuits is determinant for the attractors’ number and size in pathway-like Boolean networks Eugenio Azpeitia, Stalin Muñoz, Daniel González‐Tokman, Scientific Reports	2017	26
Simultaneous stabilization using evolutionary strategies Guillermo Fernández‐Anaya, Stalin Muñoz, R.A. Sanchez-Guzman, International Journal of Control Nonlinear ControlEngineeringAerospace EngineeringSimultaneous StabilizationMathematical Control Theory	1997	20
Obstacle Avoidance Behaviors for Mobile Robots Using Genetic Algorithms and Recurrent Neural Networks Jesús Savage, Stalin Muñoz, Mauricio Matamoros, IFAC Proceedings Volumes Artificial IntelligencePath PlanningTrajectory PlanningEngineeringEvolutionary Robotics	2013	18
Griffin: A Tool for Symbolic Inference of Synchronous Boolean Molecular Networks Stalin Muñoz, Miguel Carrillo, Eugenio Azpeitia, Frontiers in Genetics	2018	18
Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-Class Classification with a Convolutional Neural Network Hyobin Kim, Stalin Muñoz, Pamela Osuna, Entropy Convolutional Neural NetworkAntifragility MeasureMachine LearningBiological NetworksEngineering	2020	15
Design of a walking machine structure using evolutionary strategies J. Juarez-Guerrero, Stalin Muñoz, Walterio W. Mayol Cuevas Bipedal LocomotionPattern FormationKinesiologyEngineeringEvolutionary Robotics	2002	11

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