Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Dimensionality reduction to maximize prediction generalization capability | Nature Machine Intelligence
CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction | Nature Genetics
Data-analysis strategies for image-based cell profiling | Nature Methods
Generic decoding of seen and imagined objects using hierarchical visual features | Nature Communications
A generalizable and accessible approach to machine learning with global satellite imagery | Nature Communications
COVID-19 image classification using deep features and fractional-order marine predators algorithm | Scientific Reports
Structure-based protein function prediction using graph convolutional networks | Nature Communications
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning | Nature Communications
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses | Nature Communications
PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients | Scientific Reports
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
SCALE method for single-cell ATAC-seq analysis via latent feature extraction .,Nature Communications - X-MOL
Deep Learning in Label-free Cell Classification | Scientific Reports
CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction | Request PDF
Characterization of deep neural network features by decodability from human brain activity | Scientific Data
Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks | Nature Communications
Multimodal deep learning models for early detection of Alzheimer's disease stage | Scientific Reports
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans | Nature Machine Intelligence
Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning | Scientific Reports
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry | Scientific Reports
A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction | Scientific Reports
Nature Biomedical Engineering on Twitter: "A data-efficient and interpretable deep-learning method for the multi-class classification of whole-slide images that relies only on slide-level labels is applied to the detection of lymph node
A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification | Scientific Reports
العصيان إصرار خائن data feature extraction nature preprocessing physical - triggernauts.com
DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture | Scientific Reports
Towards reconstructing intelligible speech from the human auditory cortex | Scientific Reports
Towards data-driven next-generation transmission electron microscopy | Nature Materials
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning | Scientific Reports
