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Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area 期刊论文
OCEAN ENGINEERING, 2022, 卷号: 266, 页码: 20
作者:  Yang, Yang;  Shao, Zheping;  Hu, Yu;  Mei, Qiang;  Pan, Jiacai;  Song, Rongxin;  Wang, Peng
收藏  |  浏览/下载：12/0  |  提交时间：2023/07/12
Geographical spatial analysis  Maritime accident  Fujian sea area  Machine learning  Accident prediction  
Comparison of logistic regression and machine learning methods for predicting postoperative delirium in elderly patients: A retrospective study 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2022, 页码: 10
作者:  Song, Yu-Xiang;  Yang, Xiao-Dong;  Luo, Yun-Gen;  Ouyang, Chun-Lei;  Yu, Yao;  Ma, Yu-Long;  Li, Hao;  Lou, Jing-Sheng;  Liu, Yan-Hong;  Chen, Yi-Qiang;  Cao, Jiang-Bei;  Mi, Wei-Dong
收藏  |  浏览/下载：11/0  |  提交时间：2023/07/12
aged  delirium  machine learning  nomograms  risk assessment  
A Clinical-Radiomic Model for Predicting Indocyanine Green Retention Rate at 15 Min in Patients With Hepatocellular Carcinoma 期刊论文
FRONTIERS IN SURGERY, 2022, 卷号: 9, 页码: 9
作者:  Wu, Ji;  Xie, Feng;  Ji, Hao;  Zhang, Yiyang;  Luo, Yi;  Xia, Lei;  Lu, Tianfei;  He, Kang;  Sha, Meng;  Zheng, Zhigang;  Yong, Junekong;  Li, Xinming;  Zhao, Di;  Yang, Yuting;  Xia, Qiang;  Xue, Feng
收藏  |  浏览/下载：17/0  |  提交时间：2022/12/07
indocyanine green retention rate at 15 min  radiomics  machine learning  post hepatectomy liver failure  hepatocellular carcinoma  
Disagreement-based class incremental random forest for sensor-based activity recognition 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 239, 页码: 15
作者:  Hu, Chunyu;  Chen, Yiqiang;  Hu, Lisha;  Yu, Han;  Lu, Dianjie
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Class incremental learning  Activity recognition  Random forest  Semi-supervised learning  
ncFANs v2.0: an integrative platform for functional annotation of non-coding RNAs 期刊论文
NUCLEIC ACIDS RESEARCH, 2021, 卷号: 49, 期号: W1, 页码: W459-W468
作者:  Zhang, Yuwei;  Bu, Dechao;  Huo, Peipei;  Wang, Zhihao;  Rong, Hao;  Li, Yanguo;  Liu, Jingjia;  Ye, Meng;  Wu, Yang;  Jiang, Zheng;  Liao, Qi;  Zhao, Yi
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks 期刊论文
BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: 1, 页码: 17
作者:  Yang, Yingxi;  Wang, Hui;  Li, Wen;  Wang, Xiaobo;  Wei, Shizhao;  Liu, Yulong;  Xu, Yan
收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01
Post-translational modification  Deep learning  Generative adversarial networks  Random forest  
A novel multidimensional signature predicts prognosis in hepatocellular carcinoma patients 期刊论文
JOURNAL OF CELLULAR PHYSIOLOGY, 2019, 卷号: 234, 期号: 7, 页码: 11610-11619
作者:  Wang, Song;  Zhang, Jian-Hua;  Wang, Huan;  Yang, Lu;  Hong, Shuai;  Yu, Bo;  Guo, Jin-Cheng;  Liu, Jing;  Zhu, Yan-Bing
收藏  |  浏览/下载：247/0  |  提交时间：2019/08/16
hepatocellular carcinoma  microRNAs  prognostic  protein-coding genes  signature  
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: 31, 期号: 6, 页码: 1038-1050
作者:  Hu, Chunyu;  Chen, Yiqiang;  Peng, Xiaohui;  Yu, Han;  Gao, Chenlong;  Hu, Lisha
收藏  |  浏览/下载：266/0  |  提交时间：2019/08/16
Feature incremental learning  activity recognition  random forest  
Grid-based DBSCAN: Indexing and inference 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 页码: 271-284
作者:  Boonchoo, Thapana;  Ao, Xiang;  Liu, Yang;  Zhao, Weizhong;  Zhuang, Fuzhen;  He, Qing
收藏  |  浏览/下载：204/0  |  提交时间：2019/08/16
Density-based clustering  Grid-based DBSCAN  Union-find algorithm  
Lysine Malonylation Identification in E-coli with Multiple Features 期刊论文
CURRENT PROTEOMICS, 2019, 卷号: 16, 期号: 3, 页码: 166-174
作者:  Xu, Yan;  Yang, Yingxi;  Wang, Hui;  Shao, Yuanhai
收藏  |  浏览/下载：65/0  |  提交时间：2019/04/03
Malonylation  support vector machine  post translational modification  E. coli  Receive Operating Character (ROC)  Prokaryotes