001448905 000__ 04103cam\a2200553\a\4500
001448905 001__ 1448905
001448905 003__ OCoLC
001448905 005__ 20230310004303.0
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001448905 008__ 220827s2022\\\\sz\\\\\\o\\\\\101\0\eng\d
001448905 020__ $$a3031134486$$q(electronic bk.)
001448905 020__ $$a9783031134487$$q(electronic bk.)
001448905 020__ $$z9783031134470$$q(print)
001448905 0247_ $$a10.1007/978-3-031-13448-7$$2doi
001448905 035__ $$aSP(OCoLC)1342248094
001448905 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ
001448905 049__ $$aISEA
001448905 050_4 $$aQ334
001448905 08204 $$a006.3$$223/eng/20220901
001448905 1112_ $$aMDAI (Conference)$$n(19th :$$d2022 :$$cSan Cugat del Vallés, Spain)
001448905 24510 $$aModeling decisions for artificial intelligence :$$b19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022, proceedings /$$cVicenç Torra, Yasuo Narukawa (eds.).
001448905 2463_ $$aMDAI 2022
001448905 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001448905 300__ $$a1 online resource
001448905 4901_ $$aLecture notes in artificial intelligence
001448905 4901_ $$aLecture notes in computer science ;$$v13408
001448905 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001448905 500__ $$aIncludes author index.
001448905 5050_ $$aDecision 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.
001448905 506__ $$aAccess limited to authorized users.
001448905 520__ $$aThis 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.
001448905 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 1, 2022).
001448905 650_0 $$aArtificial intelligence$$xMathematical models$$vCongresses.
001448905 650_0 $$aDecision making$$xMathematical models$$vCongresses.
001448905 650_0 $$aComputer simulation$$vCongresses.
001448905 655_0 $$aElectronic books.
001448905 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001448905 7001_ $$aTorra, Vicenç,$$eeditor.
001448905 7001_ $$aNarukawa, Yasuo,$$eeditor.
001448905 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001448905 830_0 $$aLecture notes in computer science ;$$v13408.
001448905 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001448905 852__ $$bebk
001448905 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-13448-7$$zOnline Access$$91397441.1
001448905 909CO $$ooai:library.usi.edu:1448905$$pGLOBAL_SET
001448905 980__ $$aBIB
001448905 980__ $$aEBOOK
001448905 982__ $$aEbook
001448905 983__ $$aOnline
001448905 994__ $$a92$$bISE