E-LIB Suche - Ergebnisse für: Tan, Qingxiong

1

Improving power ramp rate of a coal-fired power plant by a ..:

Ding, Hongyu ; Ding, Sibian ; Tan, Qingxiong...
Heliyon. 10 (2024) 11 - p. e32412 , 2024

Link: https://doi.org/10.1016/..

2

ifDEEPre: large protein language-based deep learning enable..:

Tan, Qingxiong ; Xiao, Jin ; Chen, Jiayang...
Briefings in Bioinformatics. 25 (2024) 4 - p. , 2024

Link: https://doi.org/10.1093/..

3

AcrNET: predicting anti-CRISPR with deep learning:

Li, Yunxiang ; Wei, Yumeng ; Xu, Sheng...
Bioinformatics. 39 (2023) 5 - p. , 2023

Link: https://doi.org/10.1093/..

4

Unbiased organism-agnostic and highly sensitive signal pept..:

Shen, Junbo ; Yu, Qinze ; Chen, Shenyang...
Nature Computational Science. 4 (2023) 1 - p. 29-42 , 2023

Link: https://doi.org/10.1038/..

5

Novel machine learning models outperform risk scores in pre..:

Wong, Grace Lai-Hung ; Hui, Vicki Wing-Ki ; Tan, Qingxiong...
JHEP Reports. 4 (2022) 3 - p. 100441 , 2022

Link: https://doi.org/10.1016/..

6

Cross-Domain Missingness-Aware Time-Series Adaptation With ..:

Yang, Baoyao ; Ye, Mang ; Tan, Qingxiong.
IEEE Transactions on Cybernetics. 52 (2022) 5 - p. 3394-3407 , 2022

Link: https://doi.org/10.1109/..

7

Importance-aware personalized learning for early risk predi..:

Tan, Qingxiong ; Ye, Mang ; Ma, Andy Jinhua...
Journal of the American Medical Informatics Association. 28 (2021) 4 - p. 713-726 , 2021

Link: https://doi.org/10.1093/..

8

Explainable Uncertainty-Aware Convolutional Recurrent Neura..:

Tan, Qingxiong ; Ye, Mang ; Ma, Andy Jinhua...
IEEE Transactions on Neural Networks and Learning Systems. 32 (2021) 10 - p. 4665-4679 , 2021

Link: https://doi.org/10.1109/..

9

UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural N..:

, In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management,

Tan, Qingxiong ; Ma, Andy Jinhua ; Ye, Mang... - p. 109-118 , 2019

Link: https://dl.acm.org/doi/1..

10

Wind power prediction using hybrid autoregressive fractiona..:

Yuan, Xiaohui ; Tan, Qingxiong ; Lei, Xiaohui..
Energy. 129 (2017) - p. 122-137 , 2017

Link: https://doi.org/10.1016/..

11

Short-Term Wind Speed Prediction Using EEMD-LSSVM Model:

Kang, Aiqing ; Tan, Qingxiong ; Yuan, Xiaohui..
Advances in Meteorology. 2017 (2017) - p. 1-22 , 2017

Link: https://doi.org/10.1155/..

12

Short-term wind power prediction based on LSSVM–GSA model:

Yuan, Xiaohui ; Chen, Chen ; Yuan, Yanbin..
Energy Conversion and Management. 101 (2015) - p. 393-401 , 2015

Link: https://doi.org/10.1016/..

13

Unbiased organism-agnostic and highly sensitive signal pept..:

Shen, Junbo ; Yu, Qinze ; Chen, Shenyang...
http://arxiv.org/abs/2312.08987. , 2023

Link: http://arxiv.org/abs/231..

14

Novel machine learning models outperform risk scores in pre..:

Wong, Grace Lai-Hung ; Hui, Vicki Wing-Ki ; Tan, Qingxiong...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844233/. , 2022

Link: http://www.ncbi.nlm.nih...

15

Interpretable RNA Foundation Model from Unannotated Data fo..:

Chen, Jiayang ; Hu, Zhihang ; Sun, Siqi...
http://arxiv.org/abs/2204.00300. , 2022

Link: http://arxiv.org/abs/220..