Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Yaojin Lin"'
Autor:
Yiping Chen, Zhipeng Luo, Wen Li, Haojia Lin, Abdul Nurunnabi, Yaojin Lin, Cheng Wang, Xiao-Ping Zhang, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 110, Iss , Pp 102786- (2022)
Graph convolution networks (GCNs) have been proven powerful in describing unstructured data. Currently, most of existing GCNs aim on more accuracy by constructing deeper models. However, these methods show limited benefits, and they often suffer from
Externí odkaz:
https://doaj.org/article/e20b8738a62b4e87a2d912fc459068bb
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102580- (2021)
Urban vegetation inventory at city-scale using terrestrial light detection and ranging (LiDAR) point clouds is very challenging due to the large quantity of points, varying local density, and occlusion effects, leading to missing features and incompl
Externí odkaz:
https://doaj.org/article/38a5d090ddbc471294b68d4f725addbb
Publikováno v:
Neurocomputing. 524:142-157
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46cb1c24759b175805214e9bb31978c5
https://doi.org/10.1016/j.neucom.2022.11.096
https://doi.org/10.1016/j.neucom.2022.11.096
Publikováno v:
IEEE Transactions on Fuzzy Systems. 31:77-91
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b3ddfc9c3bb34404b99d67795a8076b
https://doi.org/10.1109/tfuzz.2022.3182441
https://doi.org/10.1109/tfuzz.2022.3182441
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 12145 (2021)
In multi-label learning, each object is represented by a single instance and is associated with more than one class labels, where the labels might be correlated with each other. As we all know, exploiting label correlations can definitely improve the
Externí odkaz:
https://doaj.org/article/cbb433b0522f423b8c1694434353c7f1
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:3509-3522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fef8f4536787c8b57c880f969bd053c
https://doi.org/10.1007/s13042-022-01609-4
https://doi.org/10.1007/s13042-022-01609-4
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:2886-2901
Feature evaluation is an important issue in constructing a feature selection algorithm in kernelized fuzzy rough sets, which has been proven to be an effective approach to deal with nonlinear classification tasks and uncertainty in learning problems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78d8c4bff2fa25f46d7958e64eb7f169
https://doi.org/10.1109/tfuzz.2021.3096212
https://doi.org/10.1109/tfuzz.2021.3096212
Publikováno v:
Information Sciences. 608:900-916
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a51f56335db3675b5d2839c58feb7c5f
https://doi.org/10.1016/j.ins.2022.07.015
https://doi.org/10.1016/j.ins.2022.07.015
Publikováno v:
Concurrency and Computation: Practice and Experience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7eb5f256f014939ba4768d945f2554
https://doi.org/10.1002/cpe.7710
https://doi.org/10.1002/cpe.7710
Publikováno v:
International Journal of Software & Informatics; 2023, Vol. 13 Issue 2, p157-176, 20p