Seuraa
Meizhu Li
Meizhu Li
Vahvistettu sähköpostiosoite verkkotunnuksessa ugent.be
Nimike
Viittaukset
Viittaukset
Vuosi
Measure the structure similarity of nodes in complex networks based on relative entropy
Q Zhang, M Li, Y Deng
Physica A: Statistical Mechanics and its Applications 491, 749-763, 2018
1472018
Evidential identification of influential nodes in network of networks
M Li, Q Zhang, Y Deng
Chaos, Solitons & Fractals 117, 283-296, 2018
982018
A novel distance function of D numbers and its application in product engineering
M Li, Y Hu, Q Zhang, Y Deng
Engineering Applications of Artificial Intelligence 47, 61-67, 2016
452016
Tsallis information dimension of complex networks
Q Zhang, C Luo, M Li, Y Deng, S Mahadevan
Physica A: Statistical Mechanics and its Applications 419, 707-717, 2015
362015
A new structure entropy of complex networks based on nonextensive statistical mechanics
Q Zhang, M Li, Y Deng
International Journal of Modern Physics C 27 (10), 1650118, 2016
322016
A betweenness structural entropy of complex networks
Q Zhang, M Li
Chaos, Solitons & Fractals 161, 112264, 2022
242022
Local structure entropy of complex networks
Q Zhang, M Li, Y Du, Y Deng
arXiv preprint arXiv:1412.3910, 2014
222014
Multiscale probability transformation of basic probability assignment
M Li, X Lu, Q Zhang, Y Deng
Mathematical Problems in Engineering 2014 (1), 319264, 2014
192014
A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
M Li, S Huang, J De Bock, G De Cooman, A Pižurica
Sensors 20 (18), 5262, 2020
182020
A new probability transformation based on the ordered visibility graph
M Li, Q Zhang, Y Deng
International Journal of Intelligent Systems 31 (1), 44-67, 2016
162016
Robust dynamic classifier selection for remote sensing image classification
M Li, S Huang, A Piˇzurica
2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP …, 2019
92019
Dynamic classifier selection based on imprecise probabilities: A case study for the naive bayes classifier
M Li, J De Bock, G De Cooman
Uncertainty Modelling in Data Science 9, 149-156, 2019
42019
A study on the label noise impact on the hyperspectral image classification
M Li, S Huang, A Pizurica
IEICE Information and Communication Technology Forum 2020 (ICTF 2020) 64, 2021
32021
Developing environmental indices using fuzzy numbers power average (FN-PA) operator
L Cao, M Li, R Sadiq, S Mahadevan, Y Deng
International Journal of System Assurance Engineering and Management 6, 139-149, 2015
32015
Identification of influential nodes in network of networks
M Li, Q Zhang, Q Liu, Y Deng
arXiv preprint arXiv:1501.05714, 2015
32015
ETPT: A data fusion based topology prediction of transmembrane
M Li, X Deng, Y Deng
JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE 11 (3), 945-952, 2014
22014
Structural analysis and the sum of nodes' betweenness centrality in complex networks
R Deng, M Li, Q Zhang
arXiv preprint arXiv:2402.13507, 2024
12024
The Impact of Non-uniform Label Noise on the Classification of Hyperspectral Images
M Li, S Huang, A Pižurica
2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP …, 2021
12021
The impact of label noise on the classification models for hyperspectral images
M Li, S Huang, A Pizurica
IMAGE PROCESSING & COMMUNICATIONS 24 (1), 1-9, 2021
12021
A new distance measure between two basic probability assignments based on penalty coefficient
M Li, L Li, Q Zhang
Information Sciences, 120883, 2024
2024
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Artikkelit 1–20