LEADER 03971nam 22005535 450 001 9910726273703321 005 20230518084958.0 010 $a9783031334986$b(electronic bk.) 010 $z9783031334979 024 7 $a10.1007/978-3-031-33498-6 035 $a(MiAaPQ)EBC30546049 035 $a(Au-PeEL)EBL30546049 035 $a(OCoLC)1379804810 035 $a(DE-He213)978-3-031-33498-6 035 $a(BIP)091205994 035 $a(PPN)27061236X 035 $a(CKB)26711706300041 035 $a(EXLCZ)9926711706300041 100 $a20230518d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling Decisions for Artificial Intelligence $e20th International Conference, MDAI 2023, Umeå, Sweden, June 19?22, 2023, Proceedings /$fedited by Vicenç Torra, Yasuo Narukawa 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (274 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13890 311 08$aPrint version: Torra, Vicenç Modeling Decisions for Artificial Intelligence Cham : Springer International Publishing AG,c2023 9783031334979 320 $aIncludes bibliographical references and index. 327 $aLogic Aggregators and Their Implementations -- Decision making and uncertainty -- Multi-Target Decision Making under Conditions of Severe Uncertainty -- Constructive set function and extraction of a k-dimensional element -- Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain -- Discrete chain-based Choquet-like operators -- On a new generalization of decomposition integrals -- Bipolar OWA operators with continuous input function -- Machine Learning and data science -- Cost-constrained group feature selection using information theory -- Conformal Prediction for Accuracy Guarantees in Classification with Reject Option -- Adapting the Gini's index for solving Predictive Tasks -- Bayesian logistic model for positive and unlabeled data -- A goal-oriented specification language for reinforcement learning -- Improved Spectral Norm Regularization for Neural Networks -- Preprocessing Matters: Automated Pipeline Selection for Fair Classification -- Predicting Next Whereabouts using Deep Learning -- A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size -- Data privacy -- Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks -- Differential Privacy through Noise-Graph Addition. 330 $aThis book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19?22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13890 606 $aArtificial intelligence 606 $aArtificial Intelligence 610 $aScience 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a929.605 676 $a006.3 702 $aTorra$b Vicenc? 702 $aNarukawa$b Yasuo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910726273703321 996 $aModeling Decisions for Artificial Intelligence$9772296 997 $aUNINA