Machine Learning

Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing players
The present study aimed to assess the use of technical-tactical variables and machine learning (ML) classifiers in the automatic …
Cite DOI URL
Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders
The study of brain connectivity has been a cornerstone in understanding the complexities of neurological and psychiatric disorders. It …
Cite DOI URL
The PlastOPol system for marine litter monitoring by citizen scientists
Marine plastic pollution has in recent decades become ubiquitous, posing threats to flora, fauna, and potentially human health. Proper …
Cite DOI URL
From micro- to nano- and time-resolved x-ray computed tomography: Bio-based applications, synchrotron, synchrotron capabilities, and data-driven processing
X-ray computed microtomography (μCT) is an innovative and nondestructive versatile technique that has been used extensively to …
Cite DOI URL
Toward characterizing cardiovascular fitness using machine learning based on unobtrusive data
Cardiopulmonary exercise testing (CPET) is a non-invasive approach to measure the maximum oxygen uptake (V˙O2−max), which is an index …
Cite DOI URL
Criterion validity of neural networks to assess lower limb motion during cycling
The use of marker-less methods to automatically obtain kinematics of movement is expanding but validity to high-velocity tasks such as …
Cite DOI URL
Using machine learning pipeline to predict entry into the attack zone in football
Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data …
Cite DOI URL
Classification and determinants of passing difficulty in soccer: a multivariate approach
Introduction Usually, the players’ or teams’ efficiency to perform passes is measured in terms of accuracy. The degree of difficulty of …
Cite DOI URL
Annotat3D: A Modern Web Application for Interactive Segmentation of Volumetric Images at Sirius/LNLS
Recent advances in machine learning and scientific visualization have revolutionized the industry with novel applications and services …
Cite DOI URL
Complex Network Model Reveals the Impact of Inspiratory Muscle Pre-Activation on Interactions among Physiological Responses and Muscle Oxygenation during Running and Passive Recovery
Although several studies have focused on the adaptations provided by inspiratory muscle (IM) training on physical demands, the warm-up …
Cite DOI URL