國立虎尾科技大學 |

Modeling Decisions for Artificial Intelligence = 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings /

Record Type:	Language materials, printed : 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 /
other author:	Torra, Vicenç.
Description:	XVIII, 203 p. 58 illus., 42 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-13448-7
ISBN:	9783031134487

Modeling Decisions for Artificial Intelligence = 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings /
Modeling Decisions for Artificial Intelligence19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings /[electronic resource] :edited by Vicenç Torra, Yasuo Narukawa. - 1st ed. 2022. - XVIII, 203 p. 58 illus., 42 illus. in color.online resource. - Lecture Notes in Artificial Intelligence,134082945-9141 ;. - Lecture Notes in Artificial Intelligence,13406.

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.

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.

ISBN: 9783031134487

Standard No.: 10.1007/978-3-031-13448-7doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Modeling Decisions for Artificial Intelligence = 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings /
LDR:03410nam a22004215i 4500 001 1082240
003 DE-He213
005 20221012203656.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031134487 $9 978-3-031-13448-7
024 7 $a 10.1007/978-3-031-13448-7 $2 doi
035 $a 978-3-031-13448-7
050 4 $a Q334-342
050 4 $a TA347.A78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Modeling Decisions for Artificial Intelligence $h [electronic resource] : $b 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 – September 2, 2022, Proceedings / $c edited by Vicenç Torra, Yasuo Narukawa.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XVIII, 203 p. 58 illus., 42 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Artificial Intelligence, $x 2945-9141 ; $v 13408
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computer engineering. $3 569006
650 0 $a Computer networks . $3 1365720
650 0 $a Social sciences—Data processing. $3 1280453
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 1365738
700 1 $a Torra, Vicenç. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1254789
700 1 $a Narukawa, Yasuo. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 768410
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031134470
776 0 8 $i Printed edition: $z 9783031134494
830 0 $a Lecture Notes in Artificial Intelligence, $x 2945-9141 ; $v 13406 $3 1387736
856 4 0 $u https://doi.org/10.1007/978-3-031-13448-7
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)