兰州大学机构库

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Hyperspectral Monitoring Driven by Machine Learning Methods for Grassland Above-Ground Biomass 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 9
Authors:  Huang, Weiye;  Li, Wenlong;  Xu, Jing;  Ma, Xuanlong;  Li, Changhui;  Liu, Chenli
Favorite  |    Submit date:2022/07/01
hyperspectral  alpine grassland  above-ground biomass  machine learning  feature selection  interpretability  Adaptive boosting  Biomass  Data mining  Feature extraction  Remote sensing  Aboveground biomass  Alpine grasslands  Features selection  Gaussian process regression  Growing season  HyperSpectral  Interpretability  Machine learning methods  Machine learning models  Support vectors machine  Feature Selection  
Interpretable deep learning by disentangling features using modified Siamese network 会议论文
2021 International Conference on Electronic Information Engineering and Computer Science (EIECS)
Authors:  K. Guo;  Y. Li;  Y. Lu;  L. Zhao
Favorite  |    Submit date:2021/12/14
School of Information Science and Engineering Lanzhou University,Lanzhou,China  Theoretical interpretability  School of Information Science and Engineering Lanzhou University,Lanzhou,China  Modified Siamese network  School of Information Science and Engineering Lanzhou University,Lanzhou,China  Interpretable features  Gansu ZhiTong Technology Engineering Detection Consulting Co., Ltd Gansu Highway and Bridge Construction Group Co., Ltd,Lanzhou,China  Disentangled features  
Depression recognition base on acoustic speech model of Multi-task emotional stimulus 期刊论文
Biomedical Signal Processing and Control, 2023, 卷号: 85
Authors:  Xing, Yujuan;  Liu, ZY(刘振宇);  Chen, Qiongqiong;  Li, Gang;  Ding, Zhijie;  Feng, Lei;  Hu, B(胡斌)
Favorite  |    Submit date:2023/07/18
Emotion Recognition  Acoustic speech  Bagging  Depression recognition  Emotional stimulus  F1 scores  Features selection  Interpretability  Multi tasks  Objective methods  Speech models  Feature selection  
OTFPF: Optimal transport based feature pyramid fusion network for brain age estimation 期刊论文
Information Fusion, 2023, 卷号: 100
Authors:  Fu, Yu;  Huang, Yanyan;  Zhang, Zhe;  Dong, Shunjie;  Xue, Le;  Niu, Meng;  Li, Yunxin;  Shi, Zhiguo;  Wang, Yalin;  Zhang, Hong...Fu, Yu;  Huang, Yanyan;  Zhang, Zhe;  Dong, Shunjie;  Xue, Le;  Niu, Meng;  Li, Yunxin;  Shi, Zhiguo;  Wang, Yalin;  Zhang, Hong;  Tian, Mei;  Zhuo, Cheng
Favorite  |    Submit date:2023/09/04
Correlation methods  Magnetic resonance  Magnetic resonance imaging  Age estimation  Brain age estimation  Chronological age  Deep learning  Feature pyramid  Feature pyramid fusion  Fusion modules  Interpretability  Optimal transport  T1-weighted  
TraceNet: Tracing and locating the key elements in sentiment analysis 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 277
Authors:  Zhao, Qinghua;  Liu, Junfeng;  Kang, Zhongfeng;  Zhou, Zenghui
Favorite  |    Submit date:2023/09/04
Signal encoding  Interpretability  Key elements  Key item  Language model  Layer-wise  Learn+  Neural architectures  Regularisation  Sentiment analysis  Two-stream  
Interpretability of SurvivalBoost upon Shapley Additive Explanation value on medical data 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022
Authors:  Wang, Yating;  Su, JX(苏锦霞);  Zhao, XJ(赵学靖)
Favorite  |    Submit date:2022/11/08
Bioinformatics  Diagnosis  Machine learning  Regression analysis  Explainability  Feature importance  Interaction  Interpretability  Machine learning methods  Medical data  Shapley  Shapley additive explanation value  Survival analysis  Survivalboost  Shapley Additive Explanation value  SurvivalBoost  
A Visually Interpretable Convolutional-Transformer Model for Assessing Depression from Facial Images 会议论文
IEEE, Brisbane, AUSTRALIA, JUL 10-14, 2023
Authors:  Li, Yutong;  Liu, Zhenyu;  Li, Gang;  Chen, Qiongqiong;  Ding, Zhijie;  Hu, Xiping;  Hu, Bin
Favorite  |    Submit date:2023/11/30
Depression  Convolutional neural networks  Transformer  Visual interpretability  
A wind speed forecasting model based on multi-objective algorithm and interpretability learning 期刊论文
ENERGY, 2023, 卷号: 269
Authors:  Li, M(李敏);  Yang, Y(杨裔);  He, Zhaoshuang;  Guo, Xinbo;  Zhang, RS(张瑞生);  Huang, Bingqing
Favorite  |    Submit date:2023/04/12
Energy utilization  Learning algorithms  Learning systems  Machine learning  Noise abatement  Reliability analysis  Wavelet decomposition  Wind power  Wind speed  Wind turbines  Absolute error  Forecasting models  Interpretability  Interpretable learning  Machine learning algorithms  Multi objective  Partial mutual informations  Perturbation  Search Algorithms  Wind speed forecasting  
The Spatiotemporal Distribution of NO2 in China Based on Refined 2DCNN-LSTM Model Retrieval and Factor Interpretability Analysis 期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 17
Authors:  Chen, Ruming;  Hu, Jiashun;  Song, Zhihao;  Wang, Yixuan;  Zhou, Xingzhao;  Zhao, Lin;  Chen, B(陈斌)
Favorite  |    Submit date:2023/11/28
nitrogen oxide retrieval  2DCNN-LSTM  machine learning  factor interpretability  
Machine learning-driven optimization and application of bimetallic catalysts in peroxymonosulfate activation for degradation of fluoroquinolone antibiotics 期刊论文
Chemical Engineering Journal, 2024, 卷号: 486
Authors:  Jiang, Siyuan;  Zhou, Yuerong;  Xu, Wen;  Xia, Qi;  Yi, Ming;  Cheng, XW(程修文)
Favorite  |    Submit date:2024/04/02
Antibiotics  Catalysts  Chemical activation  Paramagnetic resonance  Particle swarm optimization (PSO)  Bimetallic catalysts  Catboost  Fluoroquinolone antibiotics  Interpretability  Machine-learning  Optimisations  Peroxymonosulfate  Peroxymonosulfate activations  Shapley  Xgboost