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E-grāmata: Scalable Uncertainty Management: 16th International Conference, SUM 2024, Palermo, Italy, November 27-29, 2024, Proceedings

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This book constitutes the refereed proceedings of the 16th International Conference on Scalable Uncertainty Management, SUM 2024, held in Palermo, Italy, during November 2729, 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 Finettis 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.- Franks triangular norms in Piagets
logical proportions.- Social ranking under incomplete knowledge elicitation
of the lex-cel necessary winners.- Users 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.
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