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Evidential Clustering A Distributional Approach for Soft Clustering Comparison and Evaluation
Causal transfer evidential clustering
Jiang A variational Bayesian clustering approach to acoustic emission interpretation including soft labels
Evidential clustering by Competitive Agglomeration
Imperfect Labels with Belief Functions for Active Learning
Machine Learning and Pattern Recognition An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers
Ordinal Classification using Single-model Evidential Extreme Learning Machine
Reliability-based imbalanced data classification with Dempster-Shafer theory
Evidential regression by synthesizing feature selection and parameters learning
Algorithms and Evidential Operators Distributed EK-NN classification
On improving a group of evidential sources with different contextual corrections
Measure of Information Content of Basic Belief Assignments
Belief functions on On Modelling and Solving the Shortest Path Problem with Evidential Weights
Data and Information Fusion Heterogeneous Image Fusion for Target Recognition based on Evidence Reasoning
Cluster Decomposition of the Body of Evidence
Evidential Trustworthiness Estimation for Cooperative Perception
An Intelligent System for Managing Uncertain Temporal Flood events
Statistical Inference - Graphical Models A practical strategy for valid partial prior-dependent possibilistic inference
On Conditional Belief Functions in the Dempster-Shafer Theory
Valid inferential models offer performance and probativeness assurances.Links with Other Uncertainty Theories A qualitative counterpart of belief functions with application to uncertainty propagation in safety cases
The Extension of Dempster's Combination Rule Based on Generalized Credal Sets
A Correspondence between Credal Partitions and Fuzzy Orthopartitions
Toward updating belief functions over Belnap-Dunn logic
Applications Real bird dataset with imprecise and uncertain values
Addressing ambiguity in randomized reinsurance contracts using belief functions
Evidential filtering and spatio-temporal gradient for micro-movements analysis in the context of bedsores prevention
Hybrid Artificial Immune Recognition System with improved belief classification process.
Causal transfer evidential clustering
Jiang A variational Bayesian clustering approach to acoustic emission interpretation including soft labels
Evidential clustering by Competitive Agglomeration
Imperfect Labels with Belief Functions for Active Learning
Machine Learning and Pattern Recognition An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers
Ordinal Classification using Single-model Evidential Extreme Learning Machine
Reliability-based imbalanced data classification with Dempster-Shafer theory
Evidential regression by synthesizing feature selection and parameters learning
Algorithms and Evidential Operators Distributed EK-NN classification
On improving a group of evidential sources with different contextual corrections
Measure of Information Content of Basic Belief Assignments
Belief functions on On Modelling and Solving the Shortest Path Problem with Evidential Weights
Data and Information Fusion Heterogeneous Image Fusion for Target Recognition based on Evidence Reasoning
Cluster Decomposition of the Body of Evidence
Evidential Trustworthiness Estimation for Cooperative Perception
An Intelligent System for Managing Uncertain Temporal Flood events
Statistical Inference - Graphical Models A practical strategy for valid partial prior-dependent possibilistic inference
On Conditional Belief Functions in the Dempster-Shafer Theory
Valid inferential models offer performance and probativeness assurances.Links with Other Uncertainty Theories A qualitative counterpart of belief functions with application to uncertainty propagation in safety cases
The Extension of Dempster's Combination Rule Based on Generalized Credal Sets
A Correspondence between Credal Partitions and Fuzzy Orthopartitions
Toward updating belief functions over Belnap-Dunn logic
Applications Real bird dataset with imprecise and uncertain values
Addressing ambiguity in randomized reinsurance contracts using belief functions
Evidential filtering and spatio-temporal gradient for micro-movements analysis in the context of bedsores prevention
Hybrid Artificial Immune Recognition System with improved belief classification process.