Fernando Gaxiola
Orcid: 0000-0002-0556-859XAffiliations:
- Autonomous University of Chihuahua, Faculty of Engineering, Mexico
According to our database1,
Fernando Gaxiola
authored at least 30 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
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
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
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