The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

A common view in current machine learning research is that machine learning itself can be used to improve the quality of AI ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

It largely depends on what you’re trying to build and your background. With that said, the most popular machine learning language, without a doubt, is Python. Around 57% of data scientists and machine ...

MLNI is a python package that performs various tasks using neuroimaging data: i) binary classification for disease diagnosis, following good practice proposed in AD-ML; ii) regression prediction, such ...

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, ...

Objective: To build a machine learning (ML) prediction model for prostate cancer ... We performed feature selection using programs written in Python (Version 3.8.8, Python Software Foundation). First, ...