A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences. - Maikel León; Gonzalo Nápoles; María M. García; Rafael Bello 001; Koen Vanhoof (Polibits, 2010)

A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System. - Maikel León; Gonzalo Nápoles; Ciro Rodriguez; María M. García; Rafael Bello 001; Koen Vanhoof (IWINAC (2), 2011)

Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning. - Maikel León; Gonzalo Nápoles; María M. García; Rafael Bello 001; Koen Vanhoof (MICAI (2), 2011)

Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems. - Gonzalo Nápoles; Isel Grau; Rafael Bello 001 (ANTS, 2012)

Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance. - Isel Grau; Gonzalo Nápoles; Maikel León; Ricardo Grau (IBERAMIA, 2012)

Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps. - Gonzalo Nápoles; Isel Grau; Maikel León; Ricardo Grau (MICAI (2), 2012)

Constricted Particle Swarm Optimization based Algorithm for Global Optimization. - Gonzalo Nápoles; Isel Grau; Rafael Bello 001 (Polibits, 2012)

Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps. - Isel Grau; Gonzalo Nápoles; María M. García (CIARP (2), 2013)

Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach. - Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof (CIARP (1), 2013)

Self-adaptive differential particle swarm using a ring topology for multimodal optimization. - Gonzalo Nápoles; Isel Grau; Rafael Bello 001; Rafael Falcon; Ajith Abraham (ISDA, 2013)

Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable. - Isel Grau; Gonzalo Nápoles; Isis Bonet; María M. García (Computación y Sistemas, 2013)

Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps. - Maikel León; Gonzalo Nápoles; Rafael Bello 001; Lusine Mkrtchyan; Benoît Depaire; Koen Vanhoof (Int. J. Comput. Intell. Syst., 2013)

Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach. - Gonzalo Nápoles; Isel Grau; Ricardo Pérez-García 002; Rafael Bello 001 (EvoApplications, 2014)

Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making. - Gonzalo Nápoles; Isel Grau; Koen Vanhoof; Rafael Bello 001 (RSEISP, 2014)

Mutación de la proteína proteasa del VIH utilizando optimización basada en colonia de hormigas y mapas cognitivos difusos: análisis de susceptibilidad a fármacos. - Isel Grau García; Gonzalo Nápoles Ruiz (Computación y Sistemas, 2014)

Hacia la diversidad de la bandada: procedimiento RSVN usando una distribución de Lévy. - Gonzalo Nápoles Ruiz; Isel Grau García; Marilyn Bello-García; Rafael Bello Pérez (Computación y Sistemas, 2014)

Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance. - Gonzalo Nápoles; Isel Grau; Rafael Bello 001; Ricardo Grau (Expert Syst. Appl., 2014)

How to improve the convergence on sigmoid Fuzzy Cognitive Maps? - Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof (Intell. Data Anal., 2014)

A computational tool for simulation and learning of Fuzzy Cognitive Maps. - Gonzalo Nápoles; Isel Grau; Rafael Bello 001; Maikel León; Koen Vanhoof; Elpiniki Papageorgiou (FUZZ-IEEE, 2015)

Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem. - Gonzalo Nápoles; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (IWANN (2), 2015)

Modeling and Experimentation Framework for Fuzzy Cognitive Maps. - Maikel León Espinosa; Gonzalo Nápoles Ruiz (AAAI, 2016)

Partitive granular Cognitive Maps to graded multilabel classification. - Gonzalo Nápoles; Rafael Falcon; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (FUZZ-IEEE, 2016)

Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh Optimization. - Frank Vanhoenshoven; Gonzalo Nápoles; Mathijs Creemers; Maikel León Espinosa; Koen Vanhoof (SSCI, 2016)

Detecting malicious URLs using machine learning techniques. - Frank Vanhoenshoven; Gonzalo Nápoles; Rafael Falcon; Koen Vanhoof; Mario Köppen (SSCI, 2016)

Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium. - Gonzalo Nápoles; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Appl. Soft Comput., 2016)

On the convergence of sigmoid Fuzzy Cognitive Maps. - Gonzalo Nápoles; Elpiniki I. Papageorgiou; Rafael Bello 001; Koen Vanhoof (Inf. Sci., 2016)

Rough Cognitive Networks. - Gonzalo Nápoles; Isel Grau; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Knowl. Based Syst., 2016)

A Granular Intrusion Detection System Using Rough Cognitive Networks. - Gonzalo Nápoles; Isel Grau; Rafael Falcon; Rafael Bello 001; Koen Vanhoof (Recent Advances in Computational Intelligence in Defense and Security, 2016)

Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges. - Gonzalo Nápoles; Maikel León Espinosa; Isel Grau; Koen Vanhoof; Rafael Bello 001 (Soft Computing Based Optimization and Decision Models, 2017)

Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification. - Gonzalo Nápoles; Maikel León; Isel Grau; Koen Vanhoof (ICTAI, 2017)

Forecasting Social Security Revenues in Jordan Using Fuzzy Cognitive Maps. - Ahmad Zyad Alghzawi; Gonzalo Nápoles; George Sammour; Koen Vanhoof (KES-IDT (1), 2017)

Fuzzy Cognitive Maps Employing ARIMA Components for Time Series Forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Samantha Bielen; Koen Vanhoof (KES-IDT (1), 2017)

Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers. - Mabel Frias Dominguez; Yaima Filiberto; Gonzalo Nápoles; Yadira García-Socarrás; Koen Vanhoof; Rafael Bello 001 (MICAI (1), 2017)

Rough cognitive ensembles. - Gonzalo Nápoles; Rafael Falcon; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Int. J. Approx. Reason., 2017)

Weighted aggregation of partial rankings using Ant Colony Optimization. - Gonzalo Nápoles; Rafael Falcon; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Neurocomputing, 2017)

Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. - Gonzalo Nápoles; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Neural Process. Lett., 2017)

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results. - Gerardo Felix; Gonzalo Nápoles; Rafael Falcon; Rafael Bello 001; Koen Vanhoof (CIVEMSA, 2018)

Customer Segmentation Using Multiple Instance Clustering and Purchasing Behaviors. - Ivett Fuentes; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (IWAIPR, 2018)

Expanding MLkNN Using Extended Rough Set Theory. - Gabriela Pérez; Marilyn Bello-García; Gonzalo Nápoles; María Matilde García Lorenzo; Rafael Bello 001; Koen Vanhoof (IWAIPR, 2018)

FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps. - Gonzalo Nápoles; Maikel León Espinosa; Isel Grau; Koen Vanhoof (Int. J. Artif. Intell. Tools, 2018)

Fuzzy-Rough Cognitive Networks. - Gonzalo Nápoles; Carlos Mosquera; Rafael Falcon; Isel Grau; Rafael Bello 001; Koen Vanhoof (Neural Networks, 2018)

On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps. - Gonzalo Nápoles; Leonardo Concepción; Rafael Falcon; Rafael Bello 001; Koen Vanhoof (IEEE Trans. Fuzzy Syst., 2018)

Reduction Methods for Multi-Label Datasets Based on Granular Computing. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (BNAIC/BENELEARN, 2019)

Prototypes Generation from Multi-label Datasets Based on Granular Computing. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (CIARP, 2019)

Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance. - Marnick Vanloffelt; Gonzalo Nápoles; Koen Vanhoof (ICMLA, 2019)

Synaptic Learning of Long-Term Cognitive Networks with Inputs. - Richar Sosa; Alejandro Alfonso; Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof; Ann Nowé (IJCNN, 2019)

Fuzzy Cognitive Maps: A Business Intelligence Discussion. - Gonzalo Nápoles; Greg Van Houdt; Manal Laghmouch; Wouter Goossens; Quinten Moesen; Benoît Depaire (KES-IDT (1), 2019)

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. - Gonzalo Nápoles; Jose L. Salmeron; Wojciech Froelich; Rafael Falcon; Maikel León Espinosa; Frank Vanhoenshoven; Rafael Bello 001; Koen Vanhoof (KES-IDT (1), 2019)

Multi-agent-Based Decision Support Systems in Smart Microgrids. - Yamisleydi Salgueiro; Marco Rivera; Gonzalo Nápoles (KES-IDT (1), 2019)

Methods to Edit Multi-label Training Sets Using Rough Sets Theory. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (IJCRS, 2019)

A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification. - Mabel Frias Dominguez; Gonzalo Nápoles; Yaima Filiberto; Rafael Bello 001; Koen Vanhoof (WEA, 2019)

A review on methods and software for fuzzy cognitive maps. - Gerardo Felix; Gonzalo Nápoles; Rafael Falcon; Wojciech Froelich; Koen Vanhoof; Rafael Bello 001 (Artif. Intell. Rev., 2019)

Short-term cognitive networks, flexible reasoning and nonsynaptic learning. - Gonzalo Nápoles; Frank Vanhoenshoven; Koen Vanhoof (Neural Networks, 2019)

Customer Interaction Networks Based on Multiple Instance Similarities. - Ivett Fuentes; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (BIS, 2020)

Fast k-Fuzzy-Rough Cognitive Networks. - Gonzalo Nápoles; Wouter Goossens; Quinten Moesen; Carlos Mosquera (IJCNN, 2020)

Evolving Recurrent Neural Networks for Pattern Classification. - Gonzalo Nápoles (IntelliSys (1), 2020)

Outliers Detection in Multi-label Datasets. - Marilyn Bello; Gonzalo Nápoles; Rafael Morera; Koen Vanhoof; Rafael Bello 001 (MICAI (1), 2020)

Feature and Label Association Based on Granulation Entropy for Deep Neural Networks. - Marilyn Bello; Gonzalo Nápoles; Ricardo Sánchez; Koen Vanhoof; Rafael Bello 001 (IJCRS, 2020)

On the Behavior of Fuzzy Grey Cognitive Maps. - Leonardo Concepción; Gonzalo Nápoles; Rafael Bello 001; Koen Vanhoof (IJCRS, 2020)

Rough Net Approach for Community Detection Analysis in Complex Networks. - Ivett Fuentes; Arian Pina; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (IJCRS, 2020)

Symbolic Explanation Module for Fuzzy Cognitive Map-Based Reasoning Models. - Fabian Hoitsma; Andreas Knoben; Maikel León Espinosa; Gonzalo Nápoles (SGAI Conf., 2020)

A review on the long short-term memory model. - Greg Van Houdt; Carlos Mosquera; Gonzalo Nápoles (Artif. Intell. Rev., 2020)

Explicit methods for attribute weighting in multi-attribute decision-making: a review study. - Julio Pena; Gonzalo Nápoles; Yamisleydi Salgueiro (Artif. Intell. Rev., 2020)

Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Wojciech Froelich; Jose L. Salmeron; Koen Vanhoof (Appl. Soft Comput., 2020)

Deep neural network to extract high-level features and labels in multi-label classification problems. - Marilyn Bello; Gonzalo Nápoles; Ricardo Sánchez; Rafael Bello 001; Koen Vanhoof (Neurocomputing, 2020)

Recommender system using Long-term Cognitive Networks. - Gonzalo Nápoles; Isel Grau; Yamisleydi Salgueiro (Knowl. Based Syst., 2020)

Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches. - Gonzalo Nápoles; Agnieszka Jastrzebska; Carlos Mosquera; Koen Vanhoof; Wladyslaw Homenda (Neural Networks, 2020)

Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks. - Gonzalo Nápoles; Frank Vanhoenshoven; Rafael Falcon; Koen Vanhoof (IEEE Trans. Neural Networks Learn. Syst., 2020)

Bias Quantification for Protected Features in Pattern Classification Problems. - Lisa Koutsoviti Koumeri; Gonzalo Nápoles (CIARP, 2021)

Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks. - Mabel Frias Dominguez; Gonzalo Nápoles; Koen Vanhoof; Yaima Filiberto; Rafael Bello 001 (IJCNN, 2021)

Best Next Preference Prediction Based on LSTM and Multi-level Interactions. - Ivett Fuentes; Gonzalo Nápoles; Leticia Arco; Koen Vanhoof (IntelliSys (1), 2021)

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections. - Marilyn Bello; Yaumara Aguilera; Gonzalo Nápoles; María M. García; Rafael Bello 001; Koen Vanhoof (IWAIPR, 2021)

Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: a review study. - Julio Pena; Gonzalo Nápoles; Yamisleydi Salgueiro (Artif. Intell. Rev., 2021)

Measuring Wind Turbine Health Using Drifting Concepts. - Agnieszka Jastrzebska; Alejandro Morales Hernández; Gonzalo Nápoles; Yamisleydi Salgueiro; Koen Vanhoof (CoRR, 2021)

Forward Composition Propagation for Explainable Neural Reasoning. - Isel Grau; Gonzalo Nápoles; Marilyn Bello; Yamisleydi Salgueiro (CoRR, 2021)

Natural language techniques supporting decision modelers. - Leticia Arco; Gonzalo Nápoles; Frank Vanhoenshoven; Ana Laura Lara; Gladys Casas; Koen Vanhoof (Data Min. Knowl. Discov., 2021)

Data quality measures based on granular computing for multi-label classification. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; Rafael Bello 001 (Inf. Sci., 2021)

Pattern classification with Evolving Long-term Cognitive Networks. - Gonzalo Nápoles; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Inf. Sci., 2021)

Long-term Cognitive Network-based architecture for multi-label classification. - Gonzalo Nápoles; Marilyn Bello; Yamisleydi Salgueiro (Neural Networks, 2021)

Construction and Supervised Learning of Long-Term Grey Cognitive Networks. - Gonzalo Nápoles; Jose L. Salmeron; Koen Vanhoof (IEEE Trans. Cybern., 2021)

Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps. - Leonardo Concepción; Gonzalo Nápoles; Rafael Falcon; Koen Vanhoof; Rafael Bello 001 (IEEE Trans. Fuzzy Syst., 2021)

Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. - Marilyn Bello; Gonzalo Nápoles; Koen Vanhoof; María M. García; Rafael Bello 001 (IJCNN, 2022)

Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks. - Mabel Frias; Gonzalo Nápoles; Yaima Filiberto; Rafael Bello 001; Koen Vanhoof (MICAI (1), 2022)

Multi-objective Hyperparameter Optimization with Performance Uncertainty. - Alejandro Morales Hernández; Inneke Van Nieuwenhuyse; Gonzalo Nápoles (OLA, 2022)

Which is the best model for my data? - Gonzalo Nápoles; Isel Grau; Çiçek Güven; Orçun Özdemir; Yamisleydi Salgueiro (CoRR, 2022)

Online learning of windmill time series using Long Short-term Cognitive Networks. - Alejandro Morales Hernández; Gonzalo Nápoles; Agnieszka Jastrzebska; Yamisleydi Salgueiro; Koen Vanhoof (Expert Syst. Appl., 2022)

Normalization method for quantitative and qualitative attributes in multiple attribute decision-making problems. - Julio Pena; Gonzalo Nápoles; Yamisleydi Salgueiro (Expert Syst. Appl., 2022)

Modeling implicit bias with fuzzy cognitive maps. - Gonzalo Nápoles; Isel Grau; Leonardo Concepción; Lisa Koutsoviti Koumeri; João Paulo Papa (Neurocomputing, 2022)

Evaluating time series similarity using concept-based models. - Agnieszka Jastrzebska; Gonzalo Nápoles; Yamisleydi Salgueiro; Koen Vanhoof (Knowl. Based Syst., 2022)

Long short-term cognitive networks. - Gonzalo Nápoles; Isel Grau; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Neural Comput. Appl., 2022)

FCMpy: a python module for constructing and analyzing fuzzy cognitive maps. - Samvel Mkhitaryan; Philippe J. Giabbanelli; Maciej K. Wozniak; Gonzalo Nápoles; Nanne K. de Vries; Rik Crutzen (PeerJ Comput. Sci., 2022)

A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets. - Gonzalo Nápoles; Lisa Koutsoviti Koumeri (Pattern Recognit. Lett., 2022)

Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models. - Leonardo Concepción; Gonzalo Nápoles; Isel Grau; Witold Pedrycz (IEEE Trans. Cybern., 2022)

Presumably Correct Undersampling. - Gonzalo Nápoles; Isel Grau (CIARP, 2023)

Feature Importance for Clustering. - Gonzalo Nápoles; Niels Griffioen; Samaneh Khoshrou; Çiçek Güven (CIARP, 2023)

Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps. - Isel Grau; Gonzalo Nápoles; Fabian Hoitsma; Lisa Koutsoviti Koumeri; Koen Vanhoof (IntelliSys (1), 2023)

Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering. - Gonzalo Nápoles; Leonardo Concepción; Büsra Özgöde Yigin; Görkem Saygili; Koen Vanhoof; Rafael Bello 001 (IWAIPR, 2023)

Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification. - Agnieszka Jastrzebska; Gonzalo Nápoles; Wladyslaw Homenda; Koen Vanhoof (IEEE Trans. Cybern., 2023)

Prolog-based agnostic explanation module for structured pattern classification. - Gonzalo Nápoles; Fabian Hoitsma; Andreas Knoben; Agnieszka Jastrzebska; Maikel León Espinosa (Inf. Sci., 2023)

School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach. - Hazal Colak Oz; Çiçek Güven; Gonzalo Nápoles (J. Comput. Soc. Sci., 2023)

Presumably correct decision sets. - Gonzalo Nápoles; Isel Grau; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Pattern Recognit., 2023)

Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. - Gonzalo Nápoles; Yamisleydi Salgueiro; Isel Grau; Maikel León Espinosa (IEEE Trans. Cybern., 2023)

On the interpretability of Fuzzy Cognitive Maps. - Gonzalo Nápoles; Nevena Rankovic; Yamisleydi Salgueiro (Knowl. Based Syst., 2023)

Long Short-term Cognitive Networks: An Empirical Performance Study. - Gonzalo Nápoles; Isel Grau (EAIS, 2024)

A New Symbolic Time Series Representation Method Based on Data Fuzzification. - Agnieszka Jastrzebska; Zofia Matusiewicz; Gonzalo Nápoles (ISD, 2024)

Sparseness-Optimized Feature Importance. - Isel Grau; Gonzalo Nápoles (xAI (2), 2024)

ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space. - Marilyn Bello; Pablo Costa; Gonzalo Nápoles; Pablo Mesejo; Oscar Cordón (Inf. Fusion, 2024)

A revised cognitive mapping methodology for modeling and simulation. - Gonzalo Nápoles; Isel Grau; Yamisleydi Salgueiro (Knowl. Based Syst., 2024)

Backpropagation through time learning for recurrence-aware long-term cognitive networks. - Gonzalo Nápoles; Agnieszka Jastrzebska; Isel Grau; Yamisleydi Salgueiro (Knowl. Based Syst., 2024)

REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. - Marilyn Bello; Gonzalo Nápoles; Leonardo Concepción; Rafael Bello 001; Pablo Mesejo; Oscar Cordón (Inf. Sci., 2024)

Forward Composition Propagation for Explainable Neural Reasoning. - Isel Grau; Gonzalo Nápoles; Marilyn Bello; Yamisleydi Salgueiro; Agnieszka Jastrzebska (IEEE Comput. Intell. Mag., 2024)

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis. - Ava Mohammadi; Gonzalo Nápoles; Yamisleydi Salgueiro (IEEE Access, 2025)

Data Augmentation Techniques for fMRI Data: A Technical Survey. - Valentina Sánchez; Çiçek Güven; Gonzalo Nápoles; Marie Safár Postma (IEEE Access, 2025)

Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps. - Leonardo Concepción; Gonzalo Nápoles; Agnieszka Jastrzebska; Isel Grau; Yamisleydi Salgueiro (Appl. Soft Comput., 2025)

Macroeconomic nowcasting (st)ability: Evidence from vintages of time-series data. - Elzbieta Jowik; Agnieszka Jastrzebska; Gonzalo Nápoles (Expert Syst. Appl., 2025)

Learning of Fuzzy Cognitive Map models without training data. - Gonzalo Nápoles; Isel Grau; Leonardo Concepción; Yamisleydi Salgueiro; Koen Vanhoof (Neurocomputing, 2025)

Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps. - Gonzalo Nápoles; Isel Grau; Agnieszka Jastrzebska; Yamisleydi Salgueiro (Neurocomputing, 2025)

Inverse simulation learning of Quasi-Nonlinear Fuzzy Cognitive Maps. - Gonzalo Nápoles; Jose L. Salmeron; Yamisleydi Salgueiro (Neurocomputing, 2025)

Learning of Quasi-nonlinear Long-term Cognitive Networks using iterative numerical methods. - Gonzalo Nápoles; Yamisleydi Salgueiro (Knowl. Based Syst., 2025)

AI in Support of Diversity and Inclusion. - Çiçek Güven; Afra Alishahi; Henry Brighton; Gonzalo Nápoles; Juan Sebastian Olier; Marie Safár; Eric O. Postma; Dimitar Shterionov; Mirella De Sisto; Eva Vanmassenhove (CoRR, 2025)

Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification. - Fabian Hoitsma; Gonzalo Nápoles; Çiçek Güven; Yamisleydi Salgueiro (AI Soc., 2025)