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)

Predicting the Efficiency with Knowledge Discovery of a Budgeted Company: A Cuban University - Validation through Three Semesters. - Libia I. García; Isel Grau; Ricardo Grau (KDIR, 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)

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)

Bidirectional Recurrent Neural Networks for Biological Sequences Prediction. - Isis Bonet; Abdel Rodríguez; Isel Grau (MICAI (2), 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)

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)

SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers. - Mihail Mihaylov; Sergio Jurado; Narcís Avellana; Iván S. Razo-Zapata; Kristof Van Moffaert; Leticia Arco; Maite Bezunartea; Isel Grau; Adrian Cañadas; Ann Nowé (AAMAS, 2015)

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)

Genomic Variant Classifier Tool. - Isel Grau; Dipankar Sengupta; Dewan Md. Farid 001; Bernard Manderick; Ann Nowé; María Matilde García Lorenzo; Dorien Daneels; Maryse Bonduelle; Didier Croes; Sonia Van Dooren (IntelliSys (1), 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)

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)

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. - Isel Grau; Dipankar Sengupta; María Matilde García Lorenzo; Ann Nowé (FUZZ-IEEE, 2020)

An interpretable semi-supervised classifier using two different strategies for amended self-labeling. - Isel Grau; Dipankar Sengupta; María Matilde García Lorenzo; Ann Nowé (CoRR, 2020)

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

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

Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. - Mohsen Abbaspour Onari; Marco S. Nobile; Isel Grau; Caro Fuchs; Yingqian Zhang 001; Arjen-Kars Boer; Volkher Scharnhorst (CIBCB, 2022)

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

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

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

Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey. - Mohsen Abbaspour Onari; Isel Grau; Marco S. Nobile; Yingqian Zhang 001 (CIBCB, 2023)

Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring. - Mozhgan Vazifehdoostirani; Mohsen Abbaspour Onari; Isel Grau; Laura Genga; Remco M. Dijkman (ICPM Workshops, 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)

Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model. - Mohsen Abbaspour Onari; Isel Grau; Marco S. Nobile; Yingqian Zhang 001 (CoRR, 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)

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

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

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

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)

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)

Class-Dependent Perturbation Effects in Evaluating Time Series Attributions. - Gregor Baer; Isel Grau; Chao Zhang 071; Pieter Van Gorp (CoRR, 2025)

Why Do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation. - Gregor Baer; Isel Grau; Chao Zhang 071; Pieter Van Gorp (CoRR, 2025)

Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust. - Mohsen Abbaspour Onari; Lucie Charlotte Magister; Yaoxin Wu; Amalia Lupi; Dario Creazzo; Mattia Tordin; Luigi Di Donatantonio; Emilio Quaia; Chao Zhang 071; Isel Grau; Marco S. Nobile; Yingqian Zhang 001; et al. (CoRR, 2025)