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

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.