Data-driven missing data imputation in cluster monitoring system based on deep neural network | SpringerLink
Clinical information extraction applications: A literature review - ScienceDirect
Sensors | Free Full-Text | Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0 | HTML
New data preprocessing trends based on ensemble of multiple preprocessing techniques - ScienceDirect
Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages | Scientific Reports
Phase I: Feature Extraction, Data cleaning, Data pre-processing, Data... | Download Scientific Diagram
Preprocessing - an overview | ScienceDirect Topics
How to Model Human Activity From Smartphone Data
Procedure of data preprocessing, feature extraction, classification,... | Download Scientific Diagram
Data preprocessing for machine learning: options and recommendations
Classification models for heart disease prediction using feature selection and PCA - ScienceDirect
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks | npj Computational Materials
Identifying Resting-State Networks from fMRI Data Using ICAs | by Gili Karni | Towards Data Science
Sensors | Free Full-Text | Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors | HTML
How to apply machine learning and deep learning methods to audio analysis | by Gideon Mendels | Towards Data Science
Analysis of task-based functional MRI data preprocessed with fMRIPrep | Nature Protocols
Frontiers | Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning | Bioengineering and Biotechnology
Proposing feature engineering method based on deep learning and K-NNs for ECG beat classification and arrhythmia detection | SpringerLink