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Modeling Decisions for Artificial Intelligence 21st International Conference, MDAI 2024, Tokyo, Japan, August 27–31, 2024, Proceedings /

This book constitutes the refereed proceedings of the 21st International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2024, held in Umeå, Sweden, during August 27-30, 2024. The 18 full papers were carefully reviewed and selected from 37 submissions. There were organized in topi...

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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Torra, Vicenç (Editor), Narukawa, Yasuo (Editor), Kikuchi, Hiroaki (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edició:1st ed. 2024.
Col·lecció:Lecture Notes in Artificial Intelligence, 14986
Matèries:
Artificial intelligence.
Computer systems.
Computer networks .
Data structures (Computer science).
Information theory.
Computer science.
Artificial Intelligence.
Computer System Implementation.
Computer Communication Networks.
Data Structures and Information Theory.
Theory of Computation.
Accés en línia:https://doi.org/10.1007/978-3-031-68208-7
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Taula de continguts:
  • Invited paper
  • Taste Media Innovative Technology Transforms the Eating Experience
  • Fuzzy measures and integrals
  • An axiomatic definition of non discrete Mbius transform
  • Fuzzy Rough Choquet Distances
  • Uncertainty in AI
  • Entropies from f divergences
  • Comparative Study of Methods for Estimating Interval Priority Weights Focusing on the Accuracy in Selecting the Best Alternative
  • Clustering
  • Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor
  • On Objective Based Clustering from the Perspective of Transportation Problem
  • Data science and data privacy
  • Decision Tree Based Inference of Lightning Network Client Implementations
  • nuggets Data Pattern Extraction Framework in R
  • User centred Argumentation Analysis of Local Explanations in Explainable AI
  • Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification
  • Bistochastically private release of data streams with delay
  • Differentially Private Extreme Learning Machine
  • Studying the impact of edge privacy on link prediction in temporal graphs
  • Dissimilar Similarities Comparing Human and Statistical Similarity Evaluation in Medical AI
  • On the necessity of counterfeits and deletions for continuous data publishing
  • A Poisoning-Resilient LDP schema leveraging Oblivious Transfer with the Hadamard Transform
  • Experimental Evaluation for Risk Assessment of Privacy Preserving Synthetic Data
  • Transforming Stock Price Forecasting Deep Learning Architectures and Strategic Feature Engineering.

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