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.

Format:

Book

Contributor:

Torra, Vicenç, Editor.

Narukawa, Yasuo, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13408

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13408

Language:

English

Subjects (All):

Artificial intelligence.

Computer engineering.

Computer networks.

Social sciences-Data processing.

Artificial Intelligence.

Computer Engineering and Networks.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Artificial Intelligence.

Computer Engineering and Networks.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (XVIII, 203 pages) : 58 illustrations, 42 illustrations in color.

Edition:

1st edition 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-031-13448-7

9783031134487

Access Restriction:

Restricted for use by site license.