Pre-processing and feature extraction - ScienceDirect
Deep learning for the design of photonic structures | Nature Photonics
A deep learning based framework for the registration of three dimensional multi-modal medical images of the head | Scientific Reports
A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks
Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data | Nature Communications
Deep neural networks for the evaluation and design of photonic devices | Nature Reviews Materials
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments | Scientific Reports
Remote Sensing | Free Full-Text | Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review
Deep learning in mental health outcome research: a scoping review | Translational Psychiatry
Steps for classification of DNA sequence: feature extraction, feature... | Download Scientific Diagram
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning | Nature Communications
Feature Extraction Techniques. An end to end guide on how to reduce a… | by Pier Paolo Ippolito | Towards Data Science
Analysis of task-based functional MRI data preprocessed with fMRIPrep | Nature Protocols
Data Preprocessing and Data Wrangling in Machine Learning
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
Heterogeneous graph construction and HinSAGE learning from electronic medical records | Scientific Reports
Genetic algorithm for the optimization of features and neural networks in ECG signals classification | Scientific Reports
Sensors | Free Full-Text | New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition
Peak learning of mass spectrometry imaging data using artificial neural networks | Nature Communications
The role of demographic and academic features in a student performance prediction | Scientific Reports
Parsimonious neural networks learn interpretable physical laws | Scientific Reports
Deep learning approach for chemistry and processing history prediction from materials microstructure | Scientific Reports
Data-driven identification of 2D Partial Differential Equations using extracted physical features - ScienceDirect
