Modeling decisions for artificial in...
MDAI (Conference) (2021 :)

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  • Modeling decisions for artificial intelligence = 18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Modeling decisions for artificial intelligence/ edited by Vicenc Torra, Yasuo Narukawa.
    Reminder of title: 18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /
    remainder title: MDAI 2021
    other author: Torra, Vicenc.
    corporate name: MDAI (Conference)
    Published: Cham :Springer International Publishing : : 2021.,
    Description: xiii, 347 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Invited Papers -- Andness-Directed Iterative OWA Aggregators -- New Eliahou semigroups and verification of the Wilf conjecture for genus up to 65 -- Are Sequential Patterns Shareable? Ensuring Individuals' Privacy -- Aggregation Operators and Decision Making -- On Two Generalizations for k-additivity -- Sequential decision-making using hybrid probability-possibility functions -- Numerical comparison of idempotent andness-directed aggregators -- Approximate Reasoning -- Multiple testing of conditional independence hypotheses using information-theoretic approach -- A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty -- How the F-transform can be defined for hesitant, soft or intuitionistic fuzzy sets? Enhancing social recommenders with implicit preferences and fuzzy confidence functions -- A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems -- Machine Learning -- Mass-based Similarity Weighted k-Neighbor for Class Imbalance -- Multinomial-based Decision Synthesis of ML Classification Outputs -- Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems -- Evidential undersampling approach for imbalanced datasets with class-overlapping and noise -- Well-Calibrated and Sharp Interpretable Multi-Class Models -- Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering -- q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data -- Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning -- Network Clustering with Controlled Node Size -- Data Science and Data Privacy -- Fair-ly Private Through Group Tagging and Relation Impact -- MEDICI: A simple to use synthetic social network data generator -- Answer Passage Ranking Enhancement Using Shallow Linguistic Features -- Neural embedded Dirichlet Processes for topic modeling -- Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts -- Explaining Image Misclassification in Deep Learning via Adversarial Examples -- Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control --.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. - Mathematical models -
    Online resource: https://doi.org/10.1007/978-3-030-85529-1
    ISBN: 9783030855291
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