A new infeasible interior-point algorithm for linear programming. - Miguel Argáez; Leticia Velázquez (Richard Tapia Celebration of Diversity in Computing Conference, 2003)

On the development of a trust region interior-point method for large scale nonlinear programs. - Miguel Argáez; Leticia Velázquez; Cristina Villalobos (Richard Tapia Celebration of Diversity in Computing Conference, 2003)

Comparison of bit allocation methods for compressing three-dimensional meteorological data after applying KLT. - Aldo Lucero; Sergio D. Cabrera; Alberto Aguirre; Miguel Argáez; Edward Vidal Jr. (IGARSS, 2004)

On a global optimization technique for solving a nonlinear hyperboloid least squares problem. - Leticia Velázquez; Miguel Argáez; Brenda Bueno; Boguslaw Stec (Richard Tapia Celebration of Diversity in Computing Conference, 2005)

Compressive sensing reconstruction with prior information by iteratively reweighted least-squares. - Cristiano Jacques Miosso; Ricardo von Borries; Miguel Argáez; Leticia Velázquez; Carlos Quintero; C. M. Potes (IEEE Trans. Signal Process., 2009)

Characterization of subcortical structures during deep brain stimulation utilizing support vector machines. - Pablo Guillén; Francisco Javier Martínez de Pisón; Reinaldo Sanchez-Arias; Miguel Argáez; Leticia Velázquez (EMBC, 2011)

Sparse representation via ℓ1-minimization for underdetermined systems in classification of tumors with gene expression data. - Reinaldo Sanchez-Arias; Miguel Argáez; Pablo Guillén (EMBC, 2011)

Solving Overdetermined Systems in lp Quasi-Norms. - Miguel Argáez (Reliab. Comput., 2011)

A Hybrid Algorithm for Global Optimization Problems. - Miguel Argáez; Leticia Velázquez; Carlos Quintero; Hector Klie; Mary F. Wheeler (Reliab. Comput., 2011)

Data mining in the process of localization and classification of subcorticals structures. - Pablo Guillén; Miguel Argáez; J. Barrera; Leticia Velázquez; Francisco Javier Martínez de Pisón (EATIS, 2012)

Image inpainting in micrometeorological analysis. - Carlos Ramírez; Miguel Argáez; Aline Jaimes; Craig E. Tweedie (ICIP, 2012)

Sparse fuzzy techniques improve machine learning. - Reinaldo Sanchez; Christian Servin; Miguel Argáez (IFSA/NAFIPS, 2013)

An ℓ1 minimization algorithm for non-smooth regularization in image processing. - Carlos Ramírez; Miguel Argáez (Signal Image Video Process., 2015)

A model reduction for highly non-linear problems using wavelets and the Gauss-Newton method. - Miguel Argáez; Horacio Florez; Osvaldo Mendez (NAFIPS, 2016)

Applications and comparison of model-order reduction methods based on wavelets and POD. - Horacio Florez; Miguel Argáez (NAFIPS, 2016)

The Notion of the Quasicentral Path in Linear Programming. - Miguel Argáez; Osvaldo Mendez; Leticia Velázquez (WEA, 2022)