Fernando Arce

According to our database, Fernando Arce authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission.

Elias Rosenblatt, Jonathan D. Cook, Graziella V. Direnzo, Evan H. Campbell Grant, Fernando Arce, Kim M. Pepin, F. Javiera Rudolph, Michael C. Runge, Susan Shriner, Daniel P. Walsh, Brittany A. Mosher

PLoS Comput. Biol., 2024

2023

Learning an artificial neural network to discover bit-quad-based formulas to compute basic object properties.

Fernando Arce, Wilfrido Gómez-Flores, Uriel Escalona, Humberto Sossa

Pattern Recognit., October, 2023

2022

Training an Artificial Neural Network to Compute the Euler Number of a 2-D Binary Image based on Vertex Chain Codification.

Juan Humberto Sossa Azuela, Fernando Arce, Wilfrido Gómez, Laura Lira

Int. J. Comb. Optim. Probl. Informatics, 2022

2021

Finding the Optimal Bit-Quad Patterns for Computing the Euler Number of 2D Binary Images Using Simulated Annealing.

Wilfrido Gómez-Flores, Humberto Sossa, Fernando Arce

Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021

2019

Dendrite ellipsoidal neurons based on k-means optimization.

Fernando Arce, Erik Zamora, Carolina Fócil Arias, Humberto Sossa

Evol. Syst., 2019

Fully Convolutional Networks for Automatic Pavement Crack Segmentation.

Uriel González Escalona, Fernando Arce, Erik Zamora, Juan Humberto Sossa Azuela

Computación y Sistemas, 2019

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification.

Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Luis G. Hernández, Luis Eduardo Falcón

Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018

Extracting medical events from clinical records using conditional random fields and parameter tuning for hidden Markov models.

Carolina Fócil Arias, Grigori Sidorov, Alexander F. Gelbukh, Fernando Arce

J. Intell. Fuzzy Syst., 2018

Differential evolution training algorithm for dendrite morphological neural networks.

Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón

Appl. Soft Comput., 2018

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons.

Fernando Arce, Erik Zamora, Gerardo Hernández, Javier Mauricio Antelis, Humberto Sossa

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017

Dendrite Ellipsoidal Neuron.

Fernando Arce, Erik Zamora, Humberto Sossa

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Dendrite Morphological Neural Networks trained by Differential Evolution.

Fernando Arce, Erik Zamora, Humberto Sossa, Ricardo Barrón

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2014

Realistic novel breast and breast cancer phantoms for the study of imaging and therapy ultrasound.

Fernando Arce, Lorenzo Leija, Arturo Vera, Mario Francisco Jesús Cepeda Rubio, Geshel David Guerrero López

Proceedings of the 11th International Conference on Electrical Engineering, 2014