Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance by Chunlai Feng (2228515)

“…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …”

Demographic and echocardiographic measurements of the population. by Fernando De la Garza Salazar (11772628)

Subjects:

Population comorbidities. by Fernando De la Garza Salazar (11772628)

Subjects:

Comparison of the diagnostic utility of standard ECG criteria and the CHCM. by Fernando De la Garza Salazar (11772628)

Subjects:

DataSheet1_A Mine Ventilation System Energy Saving Technique Based on an Improved Equilibrium Optimizer.docx by Bao-cai Yu (13231338)

DataSheet_2_Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm.zip by Xinzhao Zhou (16010912)

DataSheet_1_Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm.docx by Xinzhao Zhou (16010912)

Codes and datasets for AAAI 2021 paper "Learning to Pre-train Graph Neural Networks" by Yuanfu LU (8644788)

Table3_A novel machine learning ensemble forecasting model based on mixed frequency technology and multi-objective optimization for carbon trading price.XLSX by Zejun Li (176523)

“…Finally, the ensemble model based on deep learning strategy can effectively integrate the advantages of high-frequency and low-frequency data in complex datasets. …”

Table2_A novel machine learning ensemble forecasting model based on mixed frequency technology and multi-objective optimization for carbon trading price.XLSX by Zejun Li (176523)

“…Finally, the ensemble model based on deep learning strategy can effectively integrate the advantages of high-frequency and low-frequency data in complex datasets. …”

Table1_A Novel Shale Gas Production Prediction Model Based on Machine Learning and Its Application in Optimization of Multistage Fractured Horizontal Wells.XLSX by Huijun Wang (288634)

Table1_A novel machine learning ensemble forecasting model based on mixed frequency technology and multi-objective optimization for carbon trading price.XLSX by Zejun Li (176523)

“…Finally, the ensemble model based on deep learning strategy can effectively integrate the advantages of high-frequency and low-frequency data in complex datasets. …”

Image_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF... by Huangwei Wei (17011266)

“…The Extreme Gradient Boosting (XGB) was found to be the most optimal diagnostic model for the AD based on the predictive ability and reliability of the models constructed by four machine learning approaches. …”