2025
MvWECM: Multi-view Weighted Evidential C-Means clustering.
Pattern Recognit., 2025
2023
BSC: Belief Shift Clustering.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks.
IEEE Trans. Mob. Comput., 2023
A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data.
Reliab. Eng. Syst. Saf., 2023
GeAE: GAE-Embedded Autoencoder Based Causal Representation for Robust Domain Adaptation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Evidential prototype-based clustering based on transfer learning.
Int. J. Approx. Reason., 2022
Causal Transfer Evidential Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2022
2021
Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning.
IEEE Trans. Neural Networks Learn. Syst., 2021
Dynamic evidential clustering algorithm.
Knowl. Based Syst., 2021
Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme.
Entropy, 2021
Evidential Clustering Based on Transfer Learning.
Proceedings of the Belief Functions: Theory and Applications, 2021
Evidential Weighted Multi-view Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2021
Fast Unfolding of Credal Partitions in Evidential Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2021
Credal Clustering for Imbalanced Data.
Proceedings of the Belief Functions: Theory and Applications, 2021
2020
Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring.
Entropy, 2020
2018
SELP: Semi-supervised evidential label propagation algorithm for graph data clustering.
Int. J. Approx. Reason., 2018
A belief combination rule for a large number of sources.
CoRR, 2018
Uncertain Pattern Classification Based on Evidence Fusion in Different Domains.
Proceedings of the 21st International Conference on Information Fusion, 2018
Evidential Community Detection Based on Density Peaks.
Proceedings of the Belief Functions: Theory and Applications, 2018
2017
Evidence combination for a large number of sources.
Proceedings of the 20th International Conference on Information Fusion, 2017
Pattern classification based on the combination of the selected sources of evidence.
Proceedings of the 20th International Conference on Information Fusion, 2017
The advantage of evidential attributes in social networks.
Proceedings of the 20th International Conference on Information Fusion, 2017
2016
ECMdd: Evidential c-medoids clustering with multiple prototypes.
Pattern Recognit., 2016
The Belief Noisy-OR Model Applied to Network Reliability Analysis.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016
Silent Battery Draining Attack against Android Systems by Subverting Doze Mode.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
Evidential Label Propagation Algorithm for Graphs.
Proceedings of the 19th International Conference on Information Fusion, 2016
Semi-supervised Evidential Label Propagation Algorithm for Graph Data.
Proceedings of the Belief Functions: Theory and Applications, 2016
2015
Median evidential c-means algorithm and its application to community detection.
Knowl. Based Syst., 2015
A similarity-based community detection method with multiple prototype representation.
CoRR, 2015
Evidential relational clustering using medoids.
Proceedings of the 18th International Conference on Information Fusion, 2015
2014
Evidential-EM Algorithm Applied to Progressively Censored Observations.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
Evidential Communities for Complex Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
Belief Hierarchical Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2014