Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Evaluation metrics for deep learning imputation models
There is growing interest in imputing missing data in tabular datasets using deep learning. A
commonly used metric in evaluating the performance of a deep learning-based imputation …
commonly used metric in evaluating the performance of a deep learning-based imputation …
Evaluation methodology for deep learning imputation models
There is growing interest in imputing missing data in tabular datasets using deep learning.
Existing deep learning–based imputation models have been commonly evaluated using root …
Existing deep learning–based imputation models have been commonly evaluated using root …
Short‐Axis PET Image Quality Improvement by Attention CycleGAN Using Total‐Body PET
The quality of positron emission tomography (PET) imaging is positively correlated with
scanner sensitivity, which is closely related to the axial field of view (FOV). Conventional …
scanner sensitivity, which is closely related to the axial field of view (FOV). Conventional …
Evaluation of Sequential and Temporally Embedded Deep Learning Models for Health Outcome Prediction
Deep learning sequential models are increasingly being used to predict patients' health
outcomes by analyzing their medical histories. In this paper, we investigate the design …
outcomes by analyzing their medical histories. In this paper, we investigate the design …
Evaluation methodology for deep learning imputation models
R Samavi, O Boursalie, TE Doyle - rshare.library.torontomu.ca
There is growing interest in imputing missing data in tabular datasets using deep learning.
Existing deep learning–based imputation models have been commonly evaluated using root …
Existing deep learning–based imputation models have been commonly evaluated using root …
Temporally-Embedded Deep Learning Model for Health Outcome Prediction
O Boursalie - 2021 - macsphere.mcmaster.ca
Deep learning models are increasingly used to analyze health records to model disease
progression. Two characteristics of health records present challenges to developers of deep …
progression. Two characteristics of health records present challenges to developers of deep …