Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zekang Bian"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2070 (2024)
Increasing research has shown that the abnormal expression of microRNA (miRNA) is associated with many complex diseases. However, biological experiments have many limitations in identifying the potential disease-miRNA associations. Therefore, we deve
Externí odkaz:
https://doaj.org/article/83c1634ef695452b9e98c395b255d6ef
Publikováno v:
PeerJ, Vol 10, p e13848 (2022)
Background Efficient identification of microbe-drug associations is critical for drug development and solving problem of antimicrobial resistance. Traditional wet-lab method requires a lot of money and labor in identifying potential microbe-drug asso
Externí odkaz:
https://doaj.org/article/0687ffbbb25d46ddb920354c5e70f2a6
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::752148dc092a4033ce03fee2b02ee64e
https://doi.org/10.1109/tnnls.2023.3242049
https://doi.org/10.1109/tnnls.2023.3242049
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:4369-4383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4d1fb217e867a329b1ff9802223172
https://doi.org/10.1109/tfuzz.2022.3149395
https://doi.org/10.1109/tfuzz.2022.3149395
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:3267-3283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::322ad45f9a1e7b4c218ea35024cd20bd
https://doi.org/10.1007/s13042-022-01593-9
https://doi.org/10.1007/s13042-022-01593-9
Publikováno v:
IEEE Transactions on Cybernetics. 52:5380-5393
Due to its strong performance in handling uncertain and ambiguous data, the fuzzy k -nearest-neighbor method (FKNN) has realized substantial success in a wide variety of applications. However, its classification performance would be heavily deteriora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e3fee12076f9a40044db9ba6fbf20a3
https://doi.org/10.1109/tcyb.2020.3031610
https://doi.org/10.1109/tcyb.2020.3031610
Publikováno v:
Information Fusion. 98:101845
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::086d6321860bec34be5ee3c87dd7dba6
https://doi.org/10.1016/j.inffus.2023.101845
https://doi.org/10.1016/j.inffus.2023.101845
Publikováno v:
IEEE Transactions on Fuzzy Systems. 29:1725-1738
As an exemplar-based clustering method, the well-known density peaks clustering (DPC) heavily depends on the computation of kernel-based density peaks, which incurs two issues: first, whether kernel-based density can facilitate a large variety of dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f5bd66ba9b4848423a7b15183f0ddc5
https://doi.org/10.1109/tfuzz.2020.2985004
https://doi.org/10.1109/tfuzz.2020.2985004
Publikováno v:
International Journal of Machine Learning and Cybernetics. 11:525-543
When handling special multi-view scenarios where data from each view keep the same features, we may perhaps encounter two serious challenges: (1) samples from different views of the same class are less similar than those from the same view but differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef5f2e87cc3ae349f7f45c2bde611e32
https://doi.org/10.1007/s13042-019-00992-9
https://doi.org/10.1007/s13042-019-00992-9
Publikováno v:
IEEE Transactions on Fuzzy Systems. 27:31-44
When spectral clustering analysis is applied, a similarity matrix of data plays a vital role in both clustering performance and stability of clustering results. In order to enhance the clustering performance and maintain the stability of the clusteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee771f380b82570ea27273e37f658ec7
https://doi.org/10.1109/tfuzz.2018.2856081
https://doi.org/10.1109/tfuzz.2018.2856081