Multiobjective variable mesh optimization. - Yamisleydi Salgueiro; Jorge L. Toro; Rafael Bello 001; Rafael Falcon (Ann. Oper. Res., 2017)

Selective Harmonic Elimination In Cascaded H-Bridge Multilevel Inverter Using Genetic Algorithm Approach. - Mohammad Ali Hosseinzadeh; Maryam Sarbanzadeh; Yamisleydi Salgueiro; Marco Rivera; Patrick W. Wheeler (ICIT, 2019)

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

Control Strategy and Communication Architecture for Power Sharing in Microgrids. - Ricardo Enrique Pérez-Guzmán; Yamisleydi Salgueiro; Marco Rivera; Patrick W. Wheeler (ICIT, 2020)

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

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

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)

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)

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)

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)

Moving Microgrid Hierarchical Control to an SDN-Based Kubernetes Cluster: A Framework for Reliable and Flexible Energy Distribution. - Ricardo Pérez 003; Marco Rivera; Yamisleydi Salgueiro; Carlos R. Baier; Patrick Wheeler 001 (Sensors, 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)

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)

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)

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)

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)

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)