K. Vilches

Training of an Extreme Learning Machine Autoencoder Based on an Iterative Shrinkage-Thresholding Optimization Algorithm

J. Vásquez-Coronel, M. Mora, K. Vilches, 2022, Applied Sciences.

Generating Style-based Palm Vein Synthetic Images for the Creation of Large-Scale Datasets

E. Salazar, M. Mora, A. Vásquez, 2021, 11th International Conference of Pattern Recognition Systems (ICPRS 2021).

Automatic Generation of Synthetic Palm Vein Images: a Nature-based Approach

E. Salazar, M. Mora, A. Vásquez, 2021, 11th International Conference of Pattern Recognition Systems (ICPRS 2021).

Prey herd behavior modeled by a generic non-differentiable functional response

E. González‐Olivares, A. Rojas‐Palma, K. Vilches, 2018 .

Sharp condition for blow-up and global existence in a two species chemotactic Keller–Segel system in 2

Carlos Conca, Karina Vilches, C. Conca, 2012, European Journal of Applied Mathematics.

A new approach to the concept of linearity. Some elements for a multiplicative linear algebra

Fernando Cordova, Rodrigo Del-Valle, Karina Vilches, 2020, Int. J. Comput. Math..

A simultaneous blow-up problem arising in tumor modeling

C. Conca, K. Vilches, Elio Espejo, 2019, Journal of Mathematical Biology.

A Review of multilayer extreme learning machine neural networks

J. Vásquez-Coronel, M. Mora, K. Vilches, 2023, Artificial Intelligence Review.

A comprehensive review of extreme learning machine on medical imaging

M. Mora, K. Vilches, R. Hernández-García, 2023, Neurocomputing.

A New Fast Training Algorithm for Autoencoder Neural Networks based on Extreme Learning Machine

M. Mora, K. Vilches, José A. Vásquez-Coronel, 2022, 2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA).

Remarks on the blowup and global existence for a two species chemotactic Keller–Segel system in 2

Carlos Conca, Karina Vilches, Elio Espejo, 2011, European Journal of Applied Mathematics.