Gonzalo Nápoles

Orcid: 0000-0003-1936-3701

According to our database1, Gonzalo Nápoles authored at least 111 papers between 2010 and 2024.

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Bibliography

2024
Forward Composition Propagation for Explainable Neural Reasoning.
IEEE Comput. Intell. Mag., February, 2024

REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image.
Inf. Sci., January, 2024

Backpropagation through time learning for recurrence-aware long-term cognitive networks.
Knowl. Based Syst., 2024

A revised cognitive mapping methodology for modeling and simulation.
Knowl. Based Syst., 2024

ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space.
Inf. Fusion, 2024

Sparseness-Optimized Feature Importance.
Proceedings of the Explainable Artificial Intelligence, 2024

A New Symbolic Time Series Representation Method Based on Data Fuzzification.
Proceedings of the Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings), 2024

Long Short-term Cognitive Networks: An Empirical Performance Study.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023
On the interpretability of Fuzzy Cognitive Maps.
Knowl. Based Syst., December, 2023

Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification.
IEEE Trans. Cybern., October, 2023

Presumably correct decision sets.
Pattern Recognit., September, 2023

School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach.
J. Comput. Soc. Sci., April, 2023

Prolog-based agnostic explanation module for structured pattern classification.
Inf. Sci., April, 2023

Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification.
IEEE Trans. Cybern., 2023

Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps.
Proceedings of the Intelligent Systems and Applications, 2023

Feature Importance for Clustering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Presumably Correct Undersampling.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models.
IEEE Trans. Cybern., 2022

A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets.
Pattern Recognit. Lett., 2022

FCMpy: a python module for constructing and analyzing fuzzy cognitive maps.
PeerJ Comput. Sci., 2022

Long short-term cognitive networks.
Neural Comput. Appl., 2022

Evaluating time series similarity using concept-based models.
Knowl. Based Syst., 2022

Modeling implicit bias with fuzzy cognitive maps.
Neurocomputing, 2022

Normalization method for quantitative and qualitative attributes in multiple attribute decision-making problems.
Expert Syst. Appl., 2022

Online learning of windmill time series using Long Short-term Cognitive Networks.
Expert Syst. Appl., 2022

Which is the best model for my data?
CoRR, 2022

Multi-objective Hyperparameter Optimization with Performance Uncertainty.
Proceedings of the Optimization and Learning - 5th International Conference, 2022

Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks.
Proceedings of the Advances in Computational Intelligence, 2022

Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2021

Construction and Supervised Learning of Long-Term Grey Cognitive Networks.
IEEE Trans. Cybern., 2021

Long-term Cognitive Network-based architecture for multi-label classification.
Neural Networks, 2021

Pattern classification with Evolving Long-term Cognitive Networks.
Inf. Sci., 2021

Data quality measures based on granular computing for multi-label classification.
Inf. Sci., 2021

Natural language techniques supporting decision modelers.
Data Min. Knowl. Discov., 2021

Forward Composition Propagation for Explainable Neural Reasoning.
CoRR, 2021

Measuring Wind Turbine Health Using Drifting Concepts.
CoRR, 2021

Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: a review study.
Artif. Intell. Rev., 2021

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

Best Next Preference Prediction Based on LSTM and Multi-level Interactions.
Proceedings of the Intelligent Systems and Applications, 2021

Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Bias Quantification for Protected Features in Pattern Classification Problems.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020
Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches.
Neural Networks, 2020

Recommender system using Long-term Cognitive Networks.
Knowl. Based Syst., 2020

Deep neural network to extract high-level features and labels in multi-label classification problems.
Neurocomputing, 2020

Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting.
Appl. Soft Comput., 2020

Explicit methods for attribute weighting in multi-attribute decision-making: a review study.
Artif. Intell. Rev., 2020

A review on the long short-term memory model.
Artif. Intell. Rev., 2020

Symbolic Explanation Module for Fuzzy Cognitive Map-Based Reasoning Models.
Proceedings of the Artificial Intelligence XXXVII, 2020

Rough Net Approach for Community Detection Analysis in Complex Networks.
Proceedings of the Rough Sets - International Joint Conference, 2020

On the Behavior of Fuzzy Grey Cognitive Maps.
Proceedings of the Rough Sets - International Joint Conference, 2020

Feature and Label Association Based on Granulation Entropy for Deep Neural Networks.
Proceedings of the Rough Sets - International Joint Conference, 2020

Outliers Detection in Multi-label Datasets.
Proceedings of the Advances in Soft Computing, 2020

Evolving Recurrent Neural Networks for Pattern Classification.
Proceedings of the Intelligent Systems and Applications, 2020

Fast k-Fuzzy-Rough Cognitive Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Customer Interaction Networks Based on Multiple Instance Similarities.
Proceedings of the Business Information Systems - 23rd International Conference, 2020

2019
Short-term cognitive networks, flexible reasoning and nonsynaptic learning.
Neural Networks, 2019

A review on methods and software for fuzzy cognitive maps.
Artif. Intell. Rev., 2019

A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification.
Proceedings of the Applied Computer Sciences in Engineering, 2019

Methods to Edit Multi-label Training Sets Using Rough Sets Theory.
Proceedings of the Rough Sets - International Joint Conference, 2019

Multi-agent-Based Decision Support Systems in Smart Microgrids.
Proceedings of the Intelligent Decision Technologies 2019, 2019

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations.
Proceedings of the Intelligent Decision Technologies 2019, 2019

Fuzzy Cognitive Maps: A Business Intelligence Discussion.
Proceedings of the Intelligent Decision Technologies 2019, 2019

Synaptic Learning of Long-Term Cognitive Networks with Inputs.
Proceedings of the International Joint Conference on Neural Networks, 2019

Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Prototypes Generation from Multi-label Datasets Based on Granular Computing.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Reduction Methods for Multi-Label Datasets Based on Granular Computing.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2018

Fuzzy-Rough Cognitive Networks.
Neural Networks, 2018

FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps.
Int. J. Artif. Intell. Tools, 2018

Expanding MLkNN Using Extended Rough Set Theory.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Customer Segmentation Using Multiple Instance Clustering and Purchasing Behaviors.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2018

2017
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition.
Neural Process. Lett., 2017

Weighted aggregation of partial rankings using Ant Colony Optimization.
Neurocomputing, 2017

Rough cognitive ensembles.
Int. J. Approx. Reason., 2017

Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers.
Proceedings of the Advances in Soft Computing, 2017

Fuzzy Cognitive Maps Employing ARIMA Components for Time Series Forecasting.
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Forecasting Social Security Revenues in Jordan Using Fuzzy Cognitive Maps.
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges.
Proceedings of the Soft Computing Based Optimization and Decision Models, 2017

2016
A Granular Intrusion Detection System Using Rough Cognitive Networks.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Rough Cognitive Networks.
Knowl. Based Syst., 2016

On the convergence of sigmoid Fuzzy Cognitive Maps.
Inf. Sci., 2016

Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium.
Appl. Soft Comput., 2016

Detecting malicious URLs using machine learning techniques.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Partitive granular Cognitive Maps to graded multilabel classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Modeling and Experimentation Framework for Fuzzy Cognitive Maps.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem.
Proceedings of the Advances in Computational Intelligence, 2015

A computational tool for simulation and learning of Fuzzy Cognitive Maps.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
How to improve the convergence on sigmoid Fuzzy Cognitive Maps?
Intell. Data Anal., 2014

Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance.
Expert Syst. Appl., 2014

Hacia la diversidad de la bandada: procedimiento RSVN usando una distribución de Lévy.
Computación y Sistemas, 2014

Mutación de la proteína proteasa del VIH utilizando optimización basada en colonia de hormigas y mapas cognitivos difusos: análisis de susceptibilidad a fármacos.
Computación y Sistemas, 2014

Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps.
Int. J. Comput. Intell. Syst., 2013

Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable.
Computación y Sistemas, 2013

Self-adaptive differential particle swarm using a ring topology for multimodal optimization.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Constricted Particle Swarm Optimization based Algorithm for Global Optimization.
Polibits, 2012

Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps.
Proceedings of the Advances in Computational Intelligence, 2012

Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011
Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning.
Proceedings of the Advances in Soft Computing, 2011

A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System.
Proceedings of the New Challenges on Bioinspired Applications, 2011

2010
A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences.
Polibits, 2010


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