Predictive learning as a network mechanism for extracting low-dimensional latent space representations | Nature Communications
Deep learning in optical metrology: a review | Light: Science & Applications
Deep Reader: Information extraction from Document images via relation extraction and Natural Language: Paper and Code - CatalyzeX
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning | Nature Communications
Face detection in untrained deep neural networks | Nature Communications
Current progress and open challenges for applying deep learning across the biosciences | Nature Communications
Text Data Mining - Javatpoint
A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals | Nature Communications
NLP Preprocessing & Feature Extraction Methods A-Z | Kaggle
Natural-language Processing Feature Extraction Bag-of-words Model Unified Medical Language System PNG, Clipart, Angle,
Peak learning of mass spectrometry imaging data using artificial neural networks | Nature Communications
What is Feature Extraction? Feature Extraction in Image Processing | Great Learning
Feature Extraction and Analysis of Natural Language Processing for Deep Learning English Language | Semantic Scholar
Dynamic gesture recognition based on 2D convolutional neural network and feature fusion | Scientific Reports
Guide to Feature Extraction Approaches for Text Data | by Ruman Khan | Medium
An on-chip photonic deep neural network for image classification | Nature
The Hitchhiker's Guide to Feature Extraction | Deep learning, Dimensionality reduction, Feature extraction
Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning | Nature Communications
Enabling Damage Identification of Structures Using Time Series–Based Feature Extraction Algorithms | Journal of Aerospace Engineering | Vol 32, No 3
Feature Extraction Techniques. An end to end guide on how to reduce a… | by Pier Paolo Ippolito | Towards Data Science
Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data | Nature Communications
Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes | Nature Communications
Feature Extraction in Natural Language Processing with Python | by eiki | Medium
Semantic Control of Feature Extraction from Natural Scenes | Journal of Neuroscience
