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Fernando Gaxiola 0001
Person information
- affiliation: Autonomous University of Chihuahua, Faculty of Engineering, Mexico
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2020 – today
- 2024
- [j10]Daniel Ruelas, Fernando Gaxiola, Alain Manzo-Martinez, Raymundo Cornejo Garcia, Jesus Soto-Vega:
Prediction of Enterprise Financial Health Using Machine Learning and Financial Reasons for Taiwan Economic Companies. Computación y Sistemas (CyS) 28(2) (2024) - [p8]Alain Manzo-Martinez, Raydesel Sánchez, Fernando Gaxiola, Fernando Martínez-Reyes, Raymundo Cornejo Garcia:
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. New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics 2024: 373-398 - 2023
- [c14]Raymundo Cornejo
, Fernando Martínez
Interactive floor's impact on gross motor abilities in Mexican children with learning and language disabilities'. CLIHC 2023: 6:1-6:4 - [c13]Javier Rodríguez López, Luis Escamilla, Roberto López-Santillán, Luis Fernando Gaxiola, Luis Carlos González-Gurrola:
A Cloud-Based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution. MCPR 2023: 13-22 - 2022
- [j9]Alain Manzo-Martinez, Fernando Gaxiola, Graciela Ramírez Alonso, Fernando Martínez-Reyes:
A Comparative Study in Machine Learning and Audio Features for Kitchen Sounds Recognition. Computación y Sistemas 26(2) (2022) - [j8]David Silva, Alain Manzo-Martinez, Fernando Gaxiola, Luis Carlos González-Gurrola, Graciela Ramírez Alonso:
Analysis of CNN Architectures for Human Action Recognition in Video. Computación y Sistemas 26(2) (2022)
2010 – 2019
- 2019
- [j7]Aldo-Jonathan Muñoz-Vázquez
A fuzzy fractional-order control of robotic manipulators with PID error manifolds. Appl. Soft Comput. 83 (2019) - [j6]Fernando Gaxiola
PSO with Dynamic Adaptation of Parameters for Optimization in Neural Networks with Interval Type-2 Fuzzy Numbers Weights. Axioms 8(1): 14 (2019) - [c12]Oscar E. Ordoñez Medina, Raymundo Cornejo, Alain Manzo
Design implications for exergames with moderate activity to improve inter-joint angle for older adults. CLIHC 2019: 6:1-6:8 - 2018
- [j5]Fevrier Valdez
Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control. Adv. Fuzzy Syst. 2018: 1274969:1-1274969:19 (2018) - [p7]Fernando Gaxiola
Person Recognition with Modular Deep Neural Network Using the Iris Biometric Measure. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 69-80 - 2017
- [j4]Fernando Gaxiola
Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks. Inf. 8(3): 114 (2017) - [c11]Fernando Gaxiola
Optimization of Deep Neural Network for Recognition with Human Iris Biometric Measure. NAFIPS 2017: 172-180 - [p6]Fernando Gaxiola
Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 39-61 - 2016
- [j3]Fernando Gaxiola
Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO. Appl. Soft Comput. 38: 860-871 (2016) - [c10]Fernando Gaxiola
Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series. FUZZ-IEEE 2016: 2067-2074 - [c9]Gabriela E. Martinez
Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks. FUZZ-IEEE 2016: 2331-2336 - [c8]Fernando Gaxiola
Ensemble Neural Network with Type-2 Fuzzy Weights Using Response Integration for Time Series Prediction. WCSC 2016: 175-189 - 2015
- [j2]Fernando Gaxiola
Generalized type-2 fuzzy weight adjustment for backpropagation neural networks in time series prediction. Inf. Sci. 325: 159-174 (2015) - [p5]Fernando Gaxiola
Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization 2015: 73-87 - 2014
- [j1]Fernando Gaxiola
Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction. Inf. Sci. 260: 1-14 (2014) - [c7]Fernando Gaxiola
Comparison of Neural Networks with Different Membership Functions in the Type-2 Fuzzy Weights. IEEE Conf. on Intelligent Systems (1) 2014: 707-713 - [p4]Fernando Gaxiola
Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning with Gaussian Membership Functions. Recent Advances on Hybrid Approaches for Designing Intelligent Systems 2014: 51-65 - 2013
- [c6]Fernando Gaxiola
Neural network with lower and upper type-2 fuzzy weights using the backpropagation learning method. IFSA/NAFIPS 2013: 637-642 - [c5]Fernando Gaxiola
Backpropagation learning method with interval type-2 fuzzy weights in neural networks. IJCNN 2013: 1-6 - [c4]Fernando Gaxiola
Optimization of type-2 fuzzy weight for neural network using genetic algorithm and particle swarm optimization. NaBIC 2013: 22-28 - [p3]Fernando Gaxiola
Genetic Optimization of Type-2 Fuzzy Weight Adjustment for Backpropagation in Ensemble Neural Network. Recent Advances on Hybrid Intelligent Systems 2013: 159-171 - [p2]Fernando Gaxiola, Patricia Melin, Fevrier Valdez:
Type-2 Fuzzy Weight Adjustment for Backpropagation in Prediction Time Series and Pattern Recognition. Soft Computing Applications in Optimization, Control, and Recognition 2013: 187-213 - 2012
- [c3]Fernando Gaxiola
Neural Network with Type-2 Fuzzy Weights Adjustment for Pattern Recognition of the Human Iris Biometrics. MICAI (2) 2012: 259-270 - 2011
- [c2]Fernando Gaxiola
Modular Neural Networks with Type-2 Fuzzy Integration for Pattern Recognition of Iris Biometric Measure. MICAI (2) 2011: 363-373 - 2010
- [c1]Fernando Gaxiola
Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing. IJCNN 2010: 1-7 - [p1]Fernando Gaxiola
Modular Neural Networks for Person Recognition Using the Contour Segmentation of the Human Iris Biometric Measurement. Soft Computing for Recognition Based on Biometrics 2010: 137-153
Coauthor Index
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