LEADER 05981nam 22007575 450 001 996630871303316 005 20241111115738.0 010 $a9783031762352 010 $a3031762355 024 7 $a10.1007/978-3-031-76235-2 035 $a(CKB)36549477000041 035 $a(MiAaPQ)EBC31776480 035 $a(Au-PeEL)EBL31776480 035 $a(DE-He213)978-3-031-76235-2 035 $a(EXLCZ)9936549477000041 100 $a20241111d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aScalable Uncertainty Management $e16th International Conference, SUM 2024, Palermo, Italy, November 27?29, 2024, Proceedings /$fedited by Sébastien Destercke, Maria Vanina Martinez, Giuseppe Sanfilippo 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (500 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15350 311 08$a9783031762345 311 08$a3031762347 327 $aRepair Based Semantics for Querying Inconsistent Data From Databases to Knowledge Bases and Back -- Looking at conditionals within the possibilistic framework -- From de Finetti?s coherence to new theories for reasoning under uncertainty -- MIP Outer Belief Approximations of Lower Conditional Joint CDFs in Statistical Matching Problems -- Integrating User Preferences into Gradual Bipolar Argumentation for Personalised Decision Support -- Scaling Up Reasoning From Conditional Belief Bases -- On Decisive Revision Operators and Totally Ordered Information -- Judicial Support Tool Finding the k Most Likely Judicial Worlds -- Flexible risk aware sequential decision making -- Entropy and extropy for partial probability assessments on arbitrary families of events -- Robust Discrete Bayesian Classifier under Covariate and Label Noise -- Imprecise Dynamic Value at Risk Induced by a DS Bivariate Random Walk -- Boolean weighting in possibilistic logic -- Possibilistic provenance -- Towards a logical framework for reasoning with stereotypes -- SDF FuzzIA a Fuzzy Ontology based plug in for the intelligent analysis of geothematic data -- On the Completeness and Complexity of Lifted Temporal Inference -- Bel Coalitional Games -- Lifting Partially Observable Stochastic Games -- Inconsistency Measurement in LTLf Based on Minimal Inconsistent Sets and Minimal Correction Sets -- Contribution of Subsets of Variables in Global Sensitivity Analysis with Dependent Variables -- An Ontology Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models -- Estimating Causal Effects in Partially Directed Parametric CausalFactor Graphs -- Discrete Minimax Binary Relevance Classifier for Imbalanced Multi label Classification -- Entropic Regularization Schemes for Learning Fuzzy Similarity Measures Based on the d Choquet Integral -- Elicitation for Decision Problems under severe uncertainties -- Accelerate K Mode Algorithms Using The Triangle Inequality -- A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks -- r ERBFN an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence -- Frank?s triangular norms in Piaget?s logical proportions -- Social ranking under incomplete knowledge elicitation of the lex-cel necessary winners -- User?s Preference Modelling with Godel Integral -- Extended Boltzmann Machine Generative Model -- Compact Solution Representation in Qualitative Constraint based Reasoning -- Credibility Limited Revision for Epistemic Spaces -- Towards a Dialogue Game based Semantics for Extended Abstract Argumentation Frameworks based on Indecision Blocking -- Transfer Learning Approach for High Imbalance and Multi Class Classification of Fluorescence Images -- Stability of Extensions in Incomplete Argumentation Frameworks. 330 $aThis book constitutes the refereed proceedings of the 16th International Conference on Scalable Uncertainty Management, SUM 2024, held in Palermo, Italy, during November 27?29, 2024. The 28 full and 7 short papers presented in this volume were carefully reviewed and selected from 43 submissions. SUM 2024 solicited three types of paper submissions: Long papers reporting on original research or providing surveys that synthesize current research trends, short papers describing promising work in progress, systems, or positions on controversial issues, and extended abstracts. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15350 606 $aArtificial intelligence 606 $aComputer science$xMathematics 606 $aMachine learning 606 $aComputer networks 606 $aComputer systems 606 $aData mining 606 $aArtificial Intelligence 606 $aMathematics of Computing 606 $aMachine Learning 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aData Mining and Knowledge Discovery 615 0$aArtificial intelligence. 615 0$aComputer science$xMathematics. 615 0$aMachine learning. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aMathematics of Computing. 615 24$aMachine Learning. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aData Mining and Knowledge Discovery. 676 $a006.3 700 $aDestercke$b Sébastien$01782739 701 $aMartinez$b Maria Vanina$01059359 701 $aSanfilippo$b Giuseppe$01782740 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996630871303316 996 $aScalable Uncertainty Management$94309243 997 $aUNISA