GONZALO
OLIVARES RUIZ
PROFESOR TITULAR DE UNIVERSIDAD
Argitalpenak (165) GONZALO OLIVARES RUIZ argitalpenak
2026
-
Enhancing quasi-nonlinear long-term cognitive networks with temporal attention for pattern classification
Neurocomputing, Vol. 659
-
Graph based transfer learning with orthogonal tunning for functionality size insights
Automated Software Engineering, Vol. 33, Núm. 1
2025
-
Classic Fuzzy Cognitive Maps Are Not Universal Approximators
IEEE Transactions on Fuzzy Systems
-
Data Augmentation Techniques for fMRI Data: A Technical Survey
IEEE Access, Vol. 13, pp. 66529-66556
-
Data Augmentation Techniques for fMRI Data: A Technical Survey
IEEE Access
-
Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis
IEEE Access, Vol. 13, pp. 86746-86767
-
Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps
Applied Soft Computing, Vol. 169
-
Harnessing Firm Similarities with Graph Neural Networks for Superior Stock Predictions
Studies in Computational Intelligence
-
Inverse simulation learning of Quasi-Nonlinear Fuzzy Cognitive Maps
Neurocomputing, Vol. 650
-
Learning of Fuzzy Cognitive Map models without training data
Neurocomputing, Vol. 623
-
Learning of Quasi-nonlinear Long-term Cognitive Networks using iterative numerical methods
Knowledge-Based Systems, Vol. 317
-
Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps
Neurocomputing, Vol. 626
-
Macroeconomic nowcasting (st)ability: Evidence from vintages of time-series data
Expert Systems with Applications, Vol. 269
-
Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification
AI and Society, Vol. 40, Núm. 4, pp. 2551-2570
-
Prediction of cart abandonment using imbalanced clickstream data in online shopping
Electronic Commerce Research
2024
-
A revised cognitive mapping methodology for modeling and simulation
Knowledge-Based Systems, Vol. 299
-
Addressing Accuracy Issues of Fuzzy Cognitive Map-Based Classifiers
Fuzzy Cognitive Maps: Best Practices and Modern Methods (Springer Nature), pp. 193-215
-
Backpropagation through time learning for recurrence-aware long-term cognitive networks
Knowledge-Based Systems, Vol. 295
-
Feature Importance for Clustering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Fuzzy Cognitive Maps: Best Practices and Modern Methods
Springer Nature, pp. 1-219