Fractal oscillation and its frequency-amplitude property JH He, SJ Kou, CH He, ZW Zhang, KA Gepreel Fractals 29 (04), 2150105, 2021 | 94 | 2021 |
Unsupervised change detection from heterogeneous data based on image translation ZG Liu, ZW Zhang, Q Pan, LB Ning IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 56 | 2021 |
A new incomplete pattern belief classification method with multiple estimations based on KNN Z Ma, H Tian, Z Liu, Z Zhang Applied Soft Computing 90, 106175, 2020 | 38 | 2020 |
A new pattern classification improvement method with local quality matrix based on K-NN Z Liu, Z Zhang, Y Liu, J Dezert, Q Pan Knowledge-based systems 164, 336-347, 2019 | 38 | 2019 |
Orientational distribution learning with hierarchical spatial attention for open set recognition Z Liu, Y Fu, Q Pan, Z Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8757-8772, 2022 | 32 | 2022 |
Dynamic evidential clustering algorithm Z Zhang, Z Liu, A Martin, Z Liu, K Zhou Knowledge-Based Systems 213, 106643, 2021 | 30 | 2021 |
BSC: Belief Shift Clustering ZW Zhang, Z Liu, A Martin, K Zhou IEEE Trans. Syst. Man Cybern. Syst. 53 (3), 1748-1760, 2023 | 23 | 2023 |
Evidence integration credal classification algorithm versus missing data distributions Z Zhang, Z Liu, Z Ma, J He, X Zhu Information Sciences 569, 39-54, 2021 | 15 | 2021 |
Learning a credal classifier with optimized and adaptive multiestimation for missing data imputation ZW Zhang, HP Tian, LZ Yan, A Martin, K Zhou IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (7), 4092-4104, 2021 | 15 | 2021 |
A new progressive multisource domain adaptation network with weighted decision fusion ZG Liu, LB Ning, ZW Zhang IEEE Transactions on neural networks and learning systems 35 (1), 1062-1072, 2022 | 10 | 2022 |
A new belief-based incomplete pattern unsupervised classification method ZW Zhang, Z Liu, ZF Ma, Y Zhang, H Wang IEEE Transactions on Knowledge and Data Engineering 34 (11), 5084-5097, 2021 | 10 | 2021 |
Belief combination of classifiers for incomplete data Z Zhang, S Ye, Y Zhang, W Ding, H Wang IEEE/CAA Journal of Automatica Sinica 9 (4), 652-667, 2022 | 8 | 2022 |
Progressive learning vision transformer for open set recognition of fine-grained objects in remote sensing images Y Fu, Z Liu, Z Zhang IEEE Transactions on Geoscience and Remote Sensing, 2023 | 5 | 2023 |
Deep hyperspherical clustering for skin lesion medical image segmentation Z Zhang, S Ye, Z Liu, H Wang, W Ding IEEE Journal of Biomedical and Health Informatics 27 (8), 3770-3781, 2023 | 5 | 2023 |
Representation of imprecision in deep neural networks for image classification Z Zhang, Z Liu, L Ning, A Martin, J Xiong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
On computing evidential centroid through conjunctive combination: an impossibility theorem Y Zhang, S Destercke, Z Zhang, T Bouadi, A Martin IEEE Transactions on Artificial Intelligence 4 (3), 487-496, 2022 | 4 | 2022 |
Reliability-Based Imbalanced Data Classification with Dempster-Shafer Theory H Tian, Z Zhang, A Martin, Z Liu International Conference on Belief Functions, 77-86, 2022 | 3 | 2022 |
基于 DS 证据理论的不完整数据混合分类算法 段中兴, 毕瀚元, 张作伟 信息与控制 49 (4), 455-463, 471, 2020 | 3 | 2020 |
Mining and reasoning of data uncertainty-induced imprecision in deep image classification Z Zhang, L Ning, Z Liu, Q Yang, W Ding Information Fusion 96, 202-213, 2023 | 2 | 2023 |
Credal Clustering for Imbalanced Data Z Zhang, Z Liu, K Zhou, A Martin, Y Zhang International Conference on Belief Functions, 13-21, 2021 | 1 | 2021 |