This book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022.
The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions.
The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science.
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.
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