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  • Modeling decisions for artificial intelligence = 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Modeling decisions for artificial intelligence/ edited by Vicenç Torra, Yasuo Narukawa.
    Reminder of title: 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022 : proceedings /
    remainder title: MDAI 2022
    other author: Torra, Vicenç.
    corporate name: MDAI (Conference)
    Published: Cham :Springer International Publishing : : 2022.,
    Description: xviii, 203 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. - Mathematical models -
    Online resource: https://doi.org/10.1007/978-3-031-13448-7
    ISBN: 9783031134487
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