Martha L. Avendaño-Garrido

Orcid: 0000-0001-7956-8958

According to our database1, Martha L. Avendaño-Garrido authored at least 13 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Automatic Text Summarization Based on Transportation Network and Word Mover's Distances Embeddings: A Toy Experiment.
Proceedings of the Advances in Soft Computing, 2024

Identification of Spatial Dynamic Patterns of Behavior Using Weighted Voronoi Diagrams.
Proceedings of the Pattern Recognition - 16th Mexican Conference, 2024

Réduction de la dimensionnalité des embeddings au moyen des ensembles approximatifs.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2024

2023
Computational Learning in Behavioral Neuropharmacology.
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.
J. Bioinform. Comput. Biol., December, 2022

2021
Fitting a Gaussian Mixture Model Through the Gini Index.
Int. J. Appl. Math. Comput. Sci., 2021

2020
A Model for Disaggregated Data Using Gini Index.
Res. Comput. Sci., 2020

A Proposal of an Empirical Methodology to Approximate an Electroencephalographic Signal with Appropriate Representatives of the Fourier Transformation.
Proceedings of the Advances in Computational Intelligence, 2020

Using the Gini Index for a Gaussian Mixture Model.
Proceedings of the Advances in Computational Intelligence, 2020

2018
An approximation scheme for the Kantorovich-Rubinstein problem on compact spaces.
J. Num. Math., 2018

Strong Duality of the Kantorovich-Rubinstein Mass Transshipment Problem in Metric Spaces.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2016
A metaheuristic for a numerical approximation to the mass transfer problem.
Int. J. Appl. Math. Comput. Sci., 2016

2015
An Efficient Numerical Approximation for the Monge-Kantorovich Mass Transfer Problem.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015


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