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_223
245 1 0 _aModeling Decisions for Artificial Intelligence
_h[electronic resource] :
_b21st International Conference, MDAI 2024, Tokyo, Japan, August 27-31, 2024, Proceedings /
_cedited by Vicenç Torra, Yasuo Narukawa, Hiroaki Kikuchi.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIII, 252 p. 76 illus., 64 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14986
505 0 _aInvited 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.
520 _aThis 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.
541 _fUABC ;
_cPerpetuidad
650 0 _aArtificial intelligence.
650 0 _aComputer systems.
650 0 _aComputer networks .
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aComputer science.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer System Implementation.
650 2 4 _aComputer Communication Networks.
650 2 4 _aData Structures and Information Theory.
650 2 4 _aTheory of Computation.
700 1 _aTorra, Vicenç.
_eeditor.
_0(orcid)0000-0002-0368-8037
_1https://orcid.org/0000-0002-0368-8037
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700 1 _aNarukawa, Yasuo.
_eeditor.
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_1https://orcid.org/0000-0001-9928-1444
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKikuchi, Hiroaki.
_eeditor.
_0(orcid)0000-0002-0903-8430
_1https://orcid.org/0000-0002-0903-8430
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031682070
776 0 8 _iPrinted edition:
_z9783031682094
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14986
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-68208-7
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