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 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.

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.