Gonzalo Nápoles
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A review on the long short-term memory model
G Van Houdt, C Mosquera, G Nápoles
Artificial Intelligence Review 53 (8), 5929-5955, 2020
A review on methods and software for fuzzy cognitive maps
G Felix, G Nápoles, R Falcon, W Froelich, K Vanhoof, R Bello
Artificial intelligence review 52, 1707-1737, 2019
Detecting malicious URLs using machine learning techniques
F Vanhoenshoven, G Nápoles, R Falcon, K Vanhoof, M Köppen
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
On the convergence of sigmoid fuzzy cognitive maps
G Nápoles, E Papageorgiou, R Bello, K Vanhoof
Information Sciences 349, 154-171, 2016
Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance
G Nápoles, I Grau, R Bello, R Grau
Expert Systems with Applications 41 (3), 821-830, 2014
Learning and convergence of fuzzy cognitive maps used in pattern recognition
G Nápoles, E Papageorgiou, R Bello, K Vanhoof
Neural Processing Letters 45, 431-444, 2017
Fuzzy cognitive maps based models for pattern classification: Advances and challenges
G Nápoles, M Leon Espinosa, I Grau, K Vanhoof, R Bello
Soft Computing Based Optimization and Decision Models: To Commemorate the …, 2018
FCM expert: software tool for scenario analysis and pattern classification based on fuzzy cognitive maps
G Nápoles, ML Espinosa, I Grau, K Vanhoof
International Journal on Artificial Intelligence Tools 27 (07), 1860010, 2018
Rough cognitive networks
G Nápoles, I Grau, E Papageorgiou, R Bello, K Vanhoof
Knowledge-Based Systems 91, 46-61, 2016
Fuzzy-rough cognitive networks
G Nápoles, C Mosquera, R Falcon, I Grau, R Bello, K Vanhoof
Neural Networks 97, 19-27, 2018
On the accuracy–convergence tradeoff in sigmoid fuzzy cognitive maps
G Nápoles, L Concepción, R Falcon, R Bello, K Vanhoof
IEEE Transactions on Fuzzy Systems 26 (4), 2479-2484, 2017
How to improve the convergence on sigmoid fuzzy cognitive maps?
G Nápoles, R Bello, K Vanhoof
Intelligent Data Analysis 18 (6S), S77-S88, 2014
Deep neural network to extract high-level features and labels in multi-label classification problems
M Bello, G Nápoles, R Sánchez, R Bello, K Vanhoof
Neurocomputing 413, 259-270, 2020
Constricted Particle Swarm Optimization based algorithm for global optimization
G Nápoles, I Grau, R Bello
Polibits, 05-11, 2012
Pseudoinverse learning of fuzzy cognitive maps for multivariate time series forecasting
F Vanhoenshoven, G Nápoles, W Froelich, JL Salmeron, K Vanhoof
Applied Soft Computing 95, 106461, 2020
Explicit methods for attribute weighting in multi-attribute decision-making: a review study
J Pena, G Nápoles, Y Salgueiro
Artificial Intelligence Review 53, 3127-3152, 2020
Short-term cognitive networks, flexible reasoning and nonsynaptic learning
G Nápoles, F Vanhoenshoven, K Vanhoof
Neural Networks 115, 72-81, 2019
Data quality measures based on granular computing for multi-label classification
M Bello, G Nápoles, K Vanhoof, R Bello
Information Sciences 560, 51-67, 2021
Nonsynaptic error backpropagation in long-term cognitive networks
G Nápoles, F Vanhoenshoven, R Falcon, K Vanhoof
IEEE Transactions on Neural Networks and Learning Systems 31 (3), 865-875, 2019
Fuzzy cognitive maps tool for scenario analysis and pattern classification
G Nápoles, M Leon, I Grau, K Vanhoof
2017 IEEE 29th International Conference on Tools with Artificial …, 2017
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