Fernando Gaxiola

Orcid: 0000-0002-0556-859X

Affiliations:
  • Autonomous University of Chihuahua, Faculty of Engineering, Mexico


According to our database1, Fernando Gaxiola authored at least 32 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Analysis of the Impact Using Pre-emphasis Filter, Unvoiced Sounds, Frame Size and Feature Vector Size on Human Emotion Recognition by Voice and Machine Learning.
Proceedings of the New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics, 2024

Prediction of Enterprise Financial Health Using Machine Learning and Financial Reasons for Taiwan Economic Companies.
Computación y Sistemas (CyS), 2024

2023
A Cloud-Based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution.
Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023

Interactive floor's impact on gross motor abilities in Mexican children with learning and language disabilities'.
Proceedings of the XI Latin American Conference on Human Computer Interaction, 2023

2022
Analysis of CNN Architectures for Human Action Recognition in Video.
Computación y Sistemas, 2022

A Comparative Study in Machine Learning and Audio Features for Kitchen Sounds Recognition.
Computación y Sistemas, 2022

2019
PSO with Dynamic Adaptation of Parameters for Optimization in Neural Networks with Interval Type-2 Fuzzy Numbers Weights.
Axioms, 2019

A fuzzy fractional-order control of robotic manipulators with PID error manifolds.
Appl. Soft Comput., 2019

Design implications for exergames with moderate activity to improve inter-joint angle for older adults.
Proceedings of the CLIHC '19: IX Latin American Conference on Human Computer Interaction, Panama City, Panama, September 30, 2019

2018
Person Recognition with Modular Deep Neural Network Using the Iris Biometric Measure.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control.
Adv. Fuzzy Syst., 2018

2017
Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks.
Inf., 2017

Optimization of Deep Neural Network for Recognition with Human Iris Biometric Measure.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

2016
Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO.
Appl. Soft Comput., 2016

Ensemble Neural Network with Type-2 Fuzzy Weights Using Response Integration for Time Series Prediction.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Generalized type-2 fuzzy weight adjustment for backpropagation neural networks in time series prediction.
Inf. Sci., 2015

2014
Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning with Gaussian Membership Functions.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction.
Inf. Sci., 2014

Comparison of Neural Networks with Different Membership Functions in the Type-2 Fuzzy Weights.
Proceedings of the Intelligent Systems'2014, 2014

2013
Type-2 Fuzzy Weight Adjustment for Backpropagation in Prediction Time Series and Pattern Recognition.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

Genetic Optimization of Type-2 Fuzzy Weight Adjustment for Backpropagation in Ensemble Neural Network.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Optimization of type-2 fuzzy weight for neural network using genetic algorithm and particle swarm optimization.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

Backpropagation learning method with interval type-2 fuzzy weights in neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neural network with lower and upper type-2 fuzzy weights using the backpropagation learning method.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012
Neural Network with Type-2 Fuzzy Weights Adjustment for Pattern Recognition of the Human Iris Biometrics.
Proceedings of the Advances in Computational Intelligence, 2012

2011
Modular Neural Networks with Type-2 Fuzzy Integration for Pattern Recognition of Iris Biometric Measure.
Proceedings of the Advances in Soft Computing, 2011

2010
Modular Neural Networks for Person Recognition Using the Contour Segmentation of the Human Iris Biometric Measurement.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing.
Proceedings of the International Joint Conference on Neural Networks, 2010


  Loading...