Martha L. Avendaño-Garrido

According to our database, Martha L. Avendaño-Garrido authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Computational Learning in Behavioral Neuropharmacology.

Isidro Vargas-Moreno, Héctor-Gabriel Acosta-Mesa, Juan Francisco Rodríguez-Landa, Martha Lorena Avendaño-Garrido, Socorro Herrera-Meza

Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023

2022

Quantification of the presence of enzymes in gelatin zymography using the Gini index.

Adriana Laura López-Lobato, Martha Lorena Avendaño-Garrido, Héctor-Gabriel Acosta-Mesa, Clara Luz Sampieri, Víctor Hugo Sandoval Lozano

J. Bioinform. Comput. Biol., December, 2022

2021

Fitting a Gaussian Mixture Model Through the Gini Index.

Adriana Laura López-Lobato, Martha Lorena Avendaño-Garrido

Int. J. Appl. Math. Comput. Sci., 2021

2020

A Model for Disaggregated Data Using Gini Index.

Adriana Laura López-Lobato, Martha Lorena Avendaño-Garrido, Johan Van Horebeek

Res. Comput. Sci., 2020

A Proposal of an Empirical Methodology to Approximate an Electroencephalographic Signal with Appropriate Representatives of the Fourier Transformation.

José Alfredo Zavaleta-Viveros, Porfirio Toledo, Martha Lorena Avendaño-Garrido, Jesús Enrique Escalante Martínez

Proceedings of the Advances in Computational Intelligence, 2020

Using the Gini Index for a Gaussian Mixture Model.

Adriana Laura López-Lobato, Martha Lorena Avendaño-Garrido

Proceedings of the Advances in Computational Intelligence, 2020

2018

An approximation scheme for the Kantorovich-Rubinstein problem on compact spaces.

Martha L. Avendaño-Garrido, J. Rigoberto Gabriel-Arguelles, Ligia Quintana-Torres, Juan González-Hernández

J. Num. Math., 2018

Strong Duality of the Kantorovich-Rubinstein Mass Transshipment Problem in Metric Spaces.

José Rigoberto Gabriel-Argüelles, Martha Lorena Avendaño-Garrido, Luis Antonio Montero, Juan González-Hernández

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2016

A metaheuristic for a numerical approximation to the mass transfer problem.

Martha L. Avendaño-Garrido, José Rigoberto Gabriel-Argüelles, Ligia Quintana-Torres, Efrén Mezura-Montes

Int. J. Appl. Math. Comput. Sci., 2016

2015

An Efficient Numerical Approximation for the Monge-Kantorovich Mass Transfer Problem.

Martha L. Avendaño-Garrido, J. Rigoberto Gabriel-Arguelles, Ligia Quintana-Torres, Efrén Mezura-Montes

Proceedings of the Machine Learning, Optimization, and Big Data, 2015