A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation: Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017 - IOPscience
Pixel-level aflatoxin detecting in maize based on feature selection and hyperspectral imaging - ScienceDirect
Refit neighborhood component analysis (NCA) model for classification - MATLAB
Working memory load-dependent changes in cortical network connectivity estimated by machine learning - ScienceDirect
PDF) Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies
Sensors | Free Full-Text | Objective Quantification of In-Hospital Patient Mobilization after Cardiac Surgery Using Accelerometers: Selection, Use, and Analysis
Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generation - ScienceDirect
Feature selection using neighborhood component analysis for classification - MATLAB fscnca
PDF) Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies
Rank features for classification using minimum redundancy maximum relevance (MRMR) algorithm - MATLAB fscmrmr - MathWorks United Kingdom
Predmaint Ug | PDF | Matlab | Simulation
Long-term prediction models for vision-threatening diabetic retinopathy using medical features from data warehouse | Scientific Reports
Working memory load-dependent changes in cortical network connectivity estimated by machine learning - ScienceDirect
Long-term prediction models for vision-threatening diabetic retinopathy using medical features from data warehouse | Scientific Reports
A machine learning based exploration of COVID-19 mortality risk | PLOS ONE
Refit neighborhood component analysis (NCA) model for classification - MATLAB
Remote Sensing | Free Full-Text | Application of Supervised Machine Learning Technique on LiDAR Data for Monitoring Coastal Land Evolution
Frontiers | Improved Motion Classification With an Integrated Multimodal Exoskeleton Interface
Feature selection using neighborhood component analysis for classification - MATLAB fscnca
