SUM 2024: SUM 2024: THE 16TH INTERNATIONAL CONFERENCE ON SCALABLE UNCERTAINTY MANAGEMENT

This page contains an index consisting of author-provided keywords.

A
Abstract argumentation	Stability of Extensions in Incomplete Argumentation Frameworks
Access Control	An Ontology-Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models
AGM Revision	Credibility-Limited Revision for Epistemic Spaces
AI	The Milestone of Coherent Probabilities in the AI and Big Data pathway Artificial and human cognition under uncertainty
AI in Law	Judicial Support Tool: Finding the k Most Likely Judicial Worlds
analogical proportion	Frank’s triangular norms in Piaget’s logical proportions
answer set programming	Inconsistency Measurement in LTLf Based on Minimal Inconsistent Sets and Minimal Correction Sets
Antifraud	Machine learning and network techniques to investigate complex systems with an application to antifraud in the insurance sector
Approval voting	Exploring distances for preference-approvals
Argumentation lines	Towards a Dialogue Game-based Semantics for Extended Abstract Argumentation Frameworks based on Indecision-Blocking
Argumentation semantics	Towards a Dialogue Game-based Semantics for Extended Abstract Argumentation Frameworks based on Indecision-Blocking
Attribute concentration	The reverse hypergeometric distribution and entrainment statistics
B
Banzhaf values	Contribution of Subsets of Variables in Global Sensitivity Analysis with Dependent Variables
Bayesian classifier	Robust Discrete Bayesian Classifier under Covariate and Label Noise
Bayesian Networks	Probabilistic Circuits: An Overview
Bel Coalitional Games	Bel Coalitional Games
Belief function	r-ERBFN : an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence
Belief functions	Bel Coalitional Games
Belief revision	Towards a logical framework for reasoning with stereotypes
Boolean algebra	Boolean weighting in possibilistic logic
Bregman divergence	Entropy and extropy for partial probability assessments on arbitrary families of events
C
c-inference	Scaling Up Reasoning From Conditional Belief Bases
Capacity elicitation	User's Preference Modelling with Gödel Integral
causal models	Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs
Choquet expectation	Bel Coalitional Games
Clustering	Exploring distances for preference-approvals
Clustering Categorical Data	Accelerate K-Modes Using The Triangle Inequality
coherence-based probability logic	Artificial and human cognition under uncertainty
coherent range	Elicitation for Decision Problems under severe uncertainties
Completeness	On the Completeness and Complexity of Lifted Temporal Inference
Complex systems	Machine learning and network techniques to investigate complex systems with an application to antifraud in the insurance sector
Complexity	On the Completeness and Complexity of Lifted Temporal Inference
Computational complexity	Stability of Extensions in Incomplete Argumentation Frameworks
conditional belief base	Scaling Up Reasoning From Conditional Belief Bases
Convolutional Neural Networks	Transfer Learning Approach for High-Imbalance and Multi-Class Classification of Fluorescence Images
Counterfactuals	Counterfactuals as Modal Conditionals, and Their Probability
Credibility-Limited Revision	Credibility-Limited Revision for Epistemic Spaces
D
d-Choquet integral	Entropic Regularization Schemes for Learning Fuzzy Similarity Measures based on the d-Choquet Integral
decision	Elicitation for Decision Problems under severe uncertainties
decision aid	Social ranking under incomplete knowledge: elicitation of the lex-cel necessary winners
Decision support	Integrating User Preferences into Gradual Bipolar Argumentation for Personalised Decision Support
Decision theory under risk	Flexible risk aware sequential decision making
Decisive Revision Operators	On Decisive Revision Operators and Totally Ordered Information
Decomposable Dissimilarities	Accelerate K-Modes Using The Triangle Inequality
Dempster's rule	r-ERBFN : an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence
Dependence	r-ERBFN : an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence
Dependent Variables	Contribution of Subsets of Variables in Global Sensitivity Analysis with Dependent Variables
Dialogue game-based semantics	Towards a Dialogue Game-based Semantics for Extended Abstract Argumentation Frameworks based on Indecision-Blocking
Discrete Minimax Classifier	Discrete Minimax Binary Relevance Classifier for Imbalanced Multi-label Classification
Discretization	Robust Discrete Bayesian Classifier under Covariate and Label Noise
Distances	Exploring distances for preference-approvals
DS-bivariate random walk	Imprecise dynamic Value-at-Risk induced by a DS-bivariate random walk
Dynamic p-box	Imprecise dynamic Value-at-Risk induced by a DS-bivariate random walk
E
elicitation	Elicitation for Decision Problems under severe uncertainties
Entropic regularization	Entropic Regularization Schemes for Learning Fuzzy Similarity Measures based on the d-Choquet Integral
Entropy	Entropy and extropy for partial probability assessments on arbitrary families of events
Epistemic Space	Credibility-Limited Revision for Epistemic Spaces
Epistemic State	Credibility-Limited Revision for Epistemic Spaces
Evidential classification	r-ERBFN : an Extension of the Evidential RBFN Accounting for the Dependence Between Positive and Negative Evidence
Exchangeability	The reverse hypergeometric distribution and entrainment statistics
Expert Systems	The Milestone of Coherent Probabilities in the AI and Big Data pathway
Explainability	Compact Solution Representation in Qualitative Constraint-based Reasoning An Ontology-Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models
eXplainable Artificial Intelligence	User's Preference Modelling with Gödel Integral
Extended	Credibility-Limited Revision for Epistemic Spaces
Extended Abstract Argumentation Frameworks	Towards a Dialogue Game-based Semantics for Extended Abstract Argumentation Frameworks based on Indecision-Blocking
Extropy	Entropy and extropy for partial probability assessments on arbitrary families of events
F
Fluorescence Images	Transfer Learning Approach for High-Imbalance and Multi-Class Classification of Fluorescence Images
Fraud detection	MIP Outer Belief Approximations of Lower Conditional Joint CDFs in Statistical Matching Problems
Fuzzy Logic	SDF-FuzzIA: a Fuzzy-Ontology based plug-in for the intelligent analysis of geo-thematic data
Fuzzy Ontology	SDF-FuzzIA: a Fuzzy-Ontology based plug-in for the intelligent analysis of geo-thematic data
Fuzzy similarity measure	Entropic Regularization Schemes for Learning Fuzzy Similarity Measures based on the d-Choquet Integral
G
Generative Adversarial Network	Extended Boltzmann Machine - Generative Model
Generative approach	Extended Boltzmann Machine - Generative Model
Global Sensitivity Analysis	Contribution of Subsets of Variables in Global Sensitivity Analysis with Dependent Variables
Gradual argumentation	Integrating User Preferences into Gradual Bipolar Argumentation for Personalised Decision Support
Gödel integral	User's Preference Modelling with Gödel Integral
H
Hoeffding Decomposition	Contribution of Subsets of Variables in Global Sensitivity Analysis with Dependent Variables
Hypergeometric Multivariate Distribution	The reverse hypergeometric distribution and entrainment statistics
I
Image Classification	Transfer Learning Approach for High-Imbalance and Multi-Class Classification of Fluorescence Images
Imbalance data	Discrete Minimax Binary Relevance Classifier for Imbalanced Multi-label Classification
Imperfect Data	A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
imprecise probabilities	Elicitation for Decision Problems under severe uncertainties
Incomplete knowledge	Social ranking under incomplete knowledge: elicitation of the lex-cel necessary winners Stability of Extensions in Incomplete Argumentation Frameworks
Inconsistency	An Ontology-Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models Credibility-Limited Revision for Epistemic Spaces
inconsistency measurement	Inconsistency Measurement in LTLf Based on Minimal Inconsistent Sets and Minimal Correction Sets
Inconsistency Resolution	A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
indistinguishability	Lifting Partially Observable Stochastic Games
K
K-Modes	Accelerate K-Modes Using The Triangle Inequality
KM Belief revision	On Decisive Revision Operators and Totally Ordered Information
Kullback-Leibler divergence	Entropy and extropy for partial probability assessments on arbitrary families of events
L
Legal reasoning	Judicial Support Tool: Finding the k Most Likely Judicial Worlds
Lewis Algebras	Counterfactuals as Modal Conditionals, and Their Probability
lifted inference	Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs
Lifted Temporal Inference	On the Completeness and Complexity of Lifted Temporal Inference
lifting	Lifting Partially Observable Stochastic Games
linear temporal logic	Inconsistency Measurement in LTLf Based on Minimal Inconsistent Sets and Minimal Correction Sets
Lower and upper dynamic Value-at-Risk	Imprecise dynamic Value-at-Risk induced by a DS-bivariate random walk
Lower conditional joint CDF	MIP Outer Belief Approximations of Lower Conditional Joint CDFs in Statistical Matching Problems
M
Machine learning	Extended Boltzmann Machine - Generative Model Machine learning and network techniques to investigate complex systems with an application to antifraud in the insurance sector
Markov decision processes	Flexible risk aware sequential decision making
Maximizing Satisfiability	A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
Measures of information	Entropy and extropy for partial probability assessments on arbitrary families of events
Mixed integer programming	MIP Outer Belief Approximations of Lower Conditional Joint CDFs in Statistical Matching Problems
Modal Conditionals	Counterfactuals as Modal Conditionals, and Their Probability
multi-agent decision making	Lifting Partially Observable Stochastic Games
Multi-armed Bandit	A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
Multi-Class Classification	Transfer Learning Approach for High-Imbalance and Multi-Class Classification of Fluorescence Images
Multi-label classification	Discrete Minimax Binary Relevance Classifier for Imbalanced Multi-label Classification
Multidimensional relationship	Extended Boltzmann Machine - Generative Model
Multionomial distribution	The reverse hypergeometric distribution and entrainment statistics
Multiple agent logic	Boolean weighting in possibilistic logic
N
Neural Networks	Probabilistic Circuits: An Overview
Non-Prioritized Revision	Credibility-Limited Revision for Epistemic Spaces
Nonmonotonic reasoning	Scaling Up Reasoning From Conditional Belief Bases Artificial and human cognition under uncertainty
O
online reasoning platform	Scaling Up Reasoning From Conditional Belief Bases
Ontology	An Ontology-Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models
ordinal preferences	Social ranking under incomplete knowledge: elicitation of the lex-cel necessary winners
Outer belief approximation	MIP Outer Belief Approximations of Lower Conditional Joint CDFs in Statistical Matching Problems
P
Partial MaxSAT	Scaling Up Reasoning From Conditional Belief Bases
partially observable stochastic games	Lifting Partially Observable Stochastic Games
Penalty criterion	Entropy and extropy for partial probability assessments on arbitrary families of events
possibilistic logic	Possibilistic provenance Boolean weighting in possibilistic logic
Preference modeling	Flexible risk aware sequential decision making
Preference relation	User's Preference Modelling with Gödel Integral
Preference-Approvals	Exploring distances for preference-approvals
Preferences	Integrating User Preferences into Gradual Bipolar Argumentation for Personalised Decision Support Social ranking under incomplete knowledge: elicitation of the lex-cel necessary winners Exploring distances for preference-approvals
Probabilistic circuits	Probabilistic Circuits: An Overview
Probabilistic reasoning	Judicial Support Tool: Finding the k Most Likely Judicial Worlds
probabilistic relational models	Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs
Proper scoring rules	Entropy and extropy for partial probability assessments on arbitrary families of events
provenance calculus	Possibilistic provenance
Q
Qualitative Constraints	Compact Solution Representation in Qualitative Constraint-based Reasoning A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
R
RBM	Extended Boltzmann Machine - Generative Model
Reinforcement Learning	A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
Restricted Boltzmann Machines	Extended Boltzmann Machine - Generative Model
Robustness	Compact Solution Representation in Qualitative Constraint-based Reasoning Robust Discrete Bayesian Classifier under Covariate and Label Noise
S
SAT solver	Scaling Up Reasoning From Conditional Belief Bases
SDV	Extended Boltzmann Machine - Generative Model
Sequential decision making	Flexible risk aware sequential decision making
Similarity learning	Entropic Regularization Schemes for Learning Fuzzy Similarity Measures based on the d-Choquet Integral
SMT solver	Scaling Up Reasoning From Conditional Belief Bases
social ranking	Social ranking under incomplete knowledge: elicitation of the lex-cel necessary winners
Soft Computing	SDF-FuzzIA: a Fuzzy-Ontology based plug-in for the intelligent analysis of geo-thematic data
Solution Representation	Compact Solution Representation in Qualitative Constraint-based Reasoning
Spatial and Temporal Reasoning	Compact Solution Representation in Qualitative Constraint-based Reasoning A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks
Stability	Stability of Extensions in Incomplete Argumentation Frameworks
Stereotypes	Towards a logical framework for reasoning with stereotypes
Subjective probability	Entropy and extropy for partial probability assessments on arbitrary families of events The Milestone of Coherent Probabilities in the AI and Big Data pathway
Support Vector Machine	Transfer Learning Approach for High-Imbalance and Multi-Class Classification of Fluorescence Images
system P	Scaling Up Reasoning From Conditional Belief Bases
system W	Scaling Up Reasoning From Conditional Belief Bases
system Z	Scaling Up Reasoning From Conditional Belief Bases
T
Totally Ordered Information	On Decisive Revision Operators and Totally Ordered Information
Transfer Learning	Transfer Learning Approach for High-Imbalance and Multi-Class Classification of Fluorescence Images
Triangle Inequality	Accelerate K-Modes Using The Triangle Inequality
triangular co-norm	Frank’s triangular norms in Piaget’s logical proportions
triangular norm	Frank’s triangular norms in Piaget’s logical proportions
U
uncertain database	Possibilistic provenance
Uncertainty	Towards a logical framework for reasoning with stereotypes
Urn model	The reverse hypergeometric distribution and entrainment statistics

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