Decision making and uncertainty
Optimality Analysis for Stochastic LP Problems
A Multi-Perceptual-Based Approach for Group Decision Aiding
Probabilistic Judgement Aggregation by Opinion Update
Semiring-valued fuzzy rough sets and colour segmentation
Data privacy
Bistochastic privacy
Improvement of Estimate Distribution with Local Differential Privacy
Geolocated Data Generation and Protection Using Generative Adversarial Net-works
Machine Learning and data science
A Strategic Approach based on AND-OR Recommendation Trees for Updating Obsolete Information
Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors
Measuring Fairness in Machine Learning models via Counterfactual Examples
Re-Calibrating Machine Learning Models using Confidence Interval Bounds
An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning
Effective Early Stopping of Point Cloud Neural Networks
Representation and Interpretability of IE Integral Neural Networks
Deep Attributed Graph Embeddings
Estimation of Prediction Error with Regression Trees.