Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy | npj Computational Materials
Structure-based protein function prediction using graph convolutional networks | Nature Communications
A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity | Scientific Reports
A deep learning based framework for the registration of three dimensional multi-modal medical images of the head | Scientific Reports
Procedure of data preprocessing, feature extraction, classification,... | Download Scientific Diagram
How to apply machine learning and deep learning methods to audio analysis | by Gideon Mendels | Towards Data Science
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks | npj Computational Materials
Remote Sensing | Free Full-Text | Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review
A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks
Overview preprocessing, feature extraction and classification. | Download Scientific Diagram
Sensors | Free Full-Text | New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition
Data-driven identification of 2D Partial Differential Equations using extracted physical features - ScienceDirect
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets | Nature Communications
An ensemble learning approach to digital corona virus preliminary screening from cough sounds | Scientific Reports
A flow feature detection method for modeling pressure distribution around a cylinder in non-uniform flows by using a convolutional neural network | Scientific Reports
The role of demographic and academic features in a student performance prediction | Scientific Reports
Training confounder-free deep learning models for medical applications | Nature Communications
Flowchart of preprocessing, feature extraction and data splitting applied. | Download Scientific Diagram
Peak learning of mass spectrometry imaging data using artificial neural networks | Nature Communications
Applications of deep-learning approaches in horticultural research: a review | Horticulture Research
Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data | Nature Communications
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning | Nature Communications
Pre-processing and feature extraction - ScienceDirect
Feature Extraction Techniques. An end to end guide on how to reduce a… | by Pier Paolo Ippolito | Towards Data Science
Deep learning approach for chemistry and processing history prediction from materials microstructure | Scientific Reports
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Democratising deep learning for microscopy with ZeroCostDL4Mic | Nature Communications
Parsimonious neural networks learn interpretable physical laws | Scientific Reports
Analysis of task-based functional MRI data preprocessed with fMRIPrep | Nature Protocols
