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A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting Journal article
Li, Jiawen, Lin, Binfan, Wang, Peixian, Chen, Yanmei, Zeng, Xianxian, Liu, Xin, Chen, Rongjun. A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting[J]. Foods, 2024, 13(18), 2936.
Authors:  Li, Jiawen;  Lin, Binfan;  Wang, Peixian;  Chen, Yanmei;  Zeng, Xianxian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.7/5.1 | Submit date：2024/10/10
Agricultural Product  Food Waste Reduction  Hierarchical Clustering  Rf-xgboost  Sales Forecasting  
Grain yield prediction model based on the analysis of climate and irrigated area conditions in the wheat grain-filling period Journal article
Gong, Qizhou, Huang, Hongliang, Zhang, Bingjiang. Grain yield prediction model based on the analysis of climate and irrigated area conditions in the wheat grain-filling period[J]. IRRIGATION AND DRAINAGE, 2022, 72(2), 422-438.
Authors:  ; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.6/1.7 | Submit date：2023/01/30
Irrigated Area  Precipitation  Weather  Wheat Production  Xgboost  
SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering Journal article
Zhu, Xian, Chen, Yuanyuan, Gu, Yueming, Xiao, Zhifeng. SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering[J]. Frontiers in Neurorobotics, 2022, 16, 773329.
Authors:  Zhu, Xian;  Chen, Yuanyuan;  Gu, Yueming;  Xiao, Zhifeng
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:2.6/3.1 | Submit date：2022/05/13
Biomedical Question Answering  Roberta  Sentiment Analysis  T5  Transfer Learning  Xgboost  
Application of Ensemble Learning in Breast Cancer Cell Classification Conference paper
Jie, Huan. Application of Ensemble Learning in Breast Cancer Cell Classification[C], 2022.
Authors:  Jie, Huan
Favorite | TC[Scopus]:0 | Submit date：2023/01/30
Breast Cancer Cell  Classification Prediction  Ensemble Learning  Xgboost  
Identification of cancer-related long non-coding RNAs using XGboost with high accuracy Journal article
Zhang,Xuan, Li,Tianjun, Wang,Jun, Li,Jing, Chen,Long, Liu,Changning. Identification of cancer-related long non-coding RNAs using XGboost with high accuracy[J]. Frontiers in Genetics, 2019, 10.
Authors:  Zhang,Xuan;  Li,Tianjun;  Wang,Jun;  Li,Jing;  Chen,Long; et al.
Favorite | TC[WOS]:24 TC[Scopus]:28  IF:2.8/3.3 | Submit date：2021/03/09
Cancer  Long Noncoding Rna  Machine Learning  Synthetic Minority Over-sampling Technique  Xgboost