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

Author:   Vicenç Torra ,  Yasuo Narukawa ,  Hiroaki Kikuchi
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   14986
ISBN:  

9783031682070


Pages:   252
Publication Date:   17 August 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Modeling Decisions for Artificial Intelligence: 21st International Conference, MDAI 2024, Tokyo, Japan, August 27–31, 2024, Proceedings


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Overview

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 topical headings as follows: Fuzzy measures and integrals; uncertainty in AI; clustering; and data science and data privacy.

Full Product Details

Author:   Vicenç Torra ,  Yasuo Narukawa ,  Hiroaki Kikuchi
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   14986
ISBN:  

9783031682070


ISBN 10:   3031682076
Pages:   252
Publication Date:   17 August 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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