Argitalpenak (165) GONZALO OLIVARES RUIZ argitalpenak

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2026

  1. Enhancing quasi-nonlinear long-term cognitive networks with temporal attention for pattern classification

    Neurocomputing, Vol. 659

  2. Graph based transfer learning with orthogonal tunning for functionality size insights

    Automated Software Engineering, Vol. 33, Núm. 1

2025

  1. Classic Fuzzy Cognitive Maps Are Not Universal Approximators

    IEEE Transactions on Fuzzy Systems

  2. Data Augmentation Techniques for fMRI Data: A Technical Survey

    IEEE Access, Vol. 13, pp. 66529-66556

  3. Data Augmentation Techniques for fMRI Data: A Technical Survey

    IEEE Access

  4. Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis

    IEEE Access, Vol. 13, pp. 86746-86767

  5. Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps

    Applied Soft Computing, Vol. 169

  6. Harnessing Firm Similarities with Graph Neural Networks for Superior Stock Predictions

    Studies in Computational Intelligence

  7. Inverse simulation learning of Quasi-Nonlinear Fuzzy Cognitive Maps

    Neurocomputing, Vol. 650

  8. Learning of Fuzzy Cognitive Map models without training data

    Neurocomputing, Vol. 623

  9. Learning of Quasi-nonlinear Long-term Cognitive Networks using iterative numerical methods

    Knowledge-Based Systems, Vol. 317

  10. Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps

    Neurocomputing, Vol. 626

  11. Macroeconomic nowcasting (st)ability: Evidence from vintages of time-series data

    Expert Systems with Applications, Vol. 269

  12. Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification

    AI and Society, Vol. 40, Núm. 4, pp. 2551-2570

  13. Prediction of cart abandonment using imbalanced clickstream data in online shopping

    Electronic Commerce Research

2024

  1. A revised cognitive mapping methodology for modeling and simulation

    Knowledge-Based Systems, Vol. 299

  2. Addressing Accuracy Issues of Fuzzy Cognitive Map-Based Classifiers

    Fuzzy Cognitive Maps: Best Practices and Modern Methods (Springer Nature), pp. 193-215

  3. Backpropagation through time learning for recurrence-aware long-term cognitive networks

    Knowledge-Based Systems, Vol. 295

  4. Feature Importance for Clustering

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Fuzzy Cognitive Maps: Best Practices and Modern Methods

    Springer Nature, pp. 1-219