Scalable Uncertainty Management 16th International Conference, SUM 2024, Palermo, Italy, November 27–29, 2024, Proceedings /
This 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...
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
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Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Serie: | Lecture Notes in Artificial Intelligence,
15350 |
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| Accesso online: | https://doi.org/10.1007/978-3-031-76235-2 |
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| 245 | 1 | 0 | |a Scalable Uncertainty Management |h [electronic resource] : |b 16th International Conference, SUM 2024, Palermo, Italy, November 27–29, 2024, Proceedings / |c edited by Sébastien Destercke, Maria Vanina Martinez, Giuseppe Sanfilippo. |
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| 490 | 1 | |a Lecture Notes in Artificial Intelligence, |x 2945-9141 ; |v 15350 | |
| 505 | 0 | |a Repair 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. | |
| 520 | |a This 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. | ||
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| 650 | 0 | |a Data mining. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
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| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Computer Communication Networks. |
| 650 | 2 | 4 | |a Computer System Implementation. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 700 | 1 | |a Destercke, Sébastien. |e editor. |0 (orcid)0000-0003-2026-468X |1 https://orcid.org/0000-0003-2026-468X |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Martinez, Maria Vanina. |e editor. |0 (orcid)0000-0003-2819-4735 |1 https://orcid.org/0000-0003-2819-4735 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Sanfilippo, Giuseppe. |e editor. |0 (orcid)0000-0002-0657-3833 |1 https://orcid.org/0000-0002-0657-3833 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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