Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yiqiao Mao"'
Autor:
Liyuan Zhang, Xiuxia Yuan, Xue Li, Xiaoyun Zhang, Yiqiao Mao, Shaohua Hu, Ole A. Andreassen, Yunpeng Wang, Xueqin Song
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
BackgroundSchizophrenia (SCZ) is a heritable disorder with a polygenic architecture, and the gut microbiota seems to be involved in its development and outcome. In this study, we investigate the interplay between genetic risk and gut microbial marker
Externí odkaz:
https://doaj.org/article/c90434168fdc40f897cafdcdad8473b3
Publikováno v:
IEEE Access, Vol 7, Pp 36045-36056 (2019)
Recently, the cross-modal analysis has drawn much attention due to the rapid growth and widespread emergence of multimodal data. It integrates multiple modalities to improve learning and generalization performance. However, most previous methods just
Externí odkaz:
https://doaj.org/article/c81a00be9fd149ebb999d0b1e45dc93e
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Publikováno v:
IEEE Transactions on Cybernetics. :1-14
Publikováno v:
Information Sciences. 593:1-16
Publikováno v:
Neurocomputing. 448:106-129
Multi-view learning (MVL) has attracted increasing attention and achieved great practical success by exploiting complementary information of multiple features or modalities. Recently, due to the remarkable performance of deep models, deep MVL has bee
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:8893-8901
Cross-modal clustering (CMC) aims to enhance the clustering performance by exploring complementary information from multiple modalities. However, the performances of existing CMC algorithms are still unsatisfactory due to the conflict of heterogeneou
Publikováno v:
IEEE Access, Vol 7, Pp 36045-36056 (2019)
Yan, X, Ye, Y, Mao, Y & Yu, H 2019, ' Shared-private information bottleneck method for cross-modal clustering ', IEEE Access, vol. 7, pp. 36045-36056 . https://doi.org/10.1109/ACCESS.2019.2904554
Yan, X, Ye, Y, Mao, Y & Yu, H 2019, ' Shared-private information bottleneck method for cross-modal clustering ', IEEE Access, vol. 7, pp. 36045-36056 . https://doi.org/10.1109/ACCESS.2019.2904554
Recently, the cross-modal analysis has drawn much attention due to the rapid growth and widespread emergence of multimodal data. It integrates multiple modalities to improve learning and generalization performance. However, most previous methods just