Data preprocessing for machine learning: options and recommendations
Sensors | Free Full-Text | Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors | HTML
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Data preprocessing for machine learning: options and recommendations
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification - ScienceDirect
Data preprocessing and feature extraction. | Download Scientific Diagram
How to apply machine learning and deep learning methods to audio analysis | by Gideon Mendels | Towards Data Science
Data preprocessing and feature extraction. | Download Scientific Diagram
Sensors | Free Full-Text | Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data | HTML
A survey on fish classification techniques - ScienceDirect
How to Model Human Activity From Smartphone Data
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks | npj Computational Materials
Frontiers | A Deep Learning-Based Model for Classification of Different Subtypes of Subcortical Vascular Cognitive Impairment With FLAIR | Neuroscience
New data preprocessing trends based on ensemble of multiple preprocessing techniques - 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
Procedure of data preprocessing, feature extraction, classification,... | Download Scientific Diagram
Data preprocessing for machine learning: options and recommendations
Frontiers | Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning | Bioengineering and Biotechnology
An efficient Concealed Information Test: EEG feature extraction and ensemble classification for lie identification | SpringerLink
Classification models for heart disease prediction using feature selection and PCA - ScienceDirect