Modeling Decisions for Artificial Intelligence : 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa

• Autore: Torra Vicenç
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (214 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Computer engineering; Computer networks; Social sciences - Data processing; Artificial Intelligence; Computer Engineering and Networks; Computer Application in Social and Behavioral Sciences
• Altri autori: NarukawaYasuo
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Modeling Decisions for Artificial Intelligence
• ISBN: 9783031134487; 3031134486
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910591030103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13408