A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...

Abstract: In this work, performance of 5 different supervised learning algorithms from MATLAB Classification learner toolbox for microwave stroke detection and classification was tested and the ...

Abstract: In this work, performance of 5 different supervised learning algorithms from MATLAB Classification learner toolbox for microwave stroke detection and classification was tested and the ...

Sport has a habit of showcasing rather aptly-named individuals. You could hardly have dreamed of a better denomination for the world’s fastest man than Usain Bolt, nor for Australian former ...

Binary classification of Diabetic Retinopathy using SVM in MATLAB with fundus image features. This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary ...

The field of machine learning (ML) has been developing and expanding since the 1960s, and now we encounter its implementations daily in more than 50 industries. After the AI breakthrough, the demand ...