Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data

MM Graña Romay, M Silva - 2021 - addi.ehu.es
Autism Spectrum Disorder (ASD) is a largely prevalent neurodevelopmental condition with a
big social and economical impact affecting the entire life of families. There is an intense …

[PDF][PDF] of Classification Systems by Sparse Dictionary Methods

A Apicella, F Isgro, R Prevete, G Tamburrini - academia.edu
Machine learning (ML) systems are affected by a pervasive lack of transparency. The
eXplainable Artificial Intelligence (XAI) research area addresses this problem and the …

Drone-based Computer Vision-Enabled Self-Calibrated Traffic Flow Parameter Estimation and Analysis Using Machine Learning Approaches

R Yuan - 2020 - search.proquest.com
The acquisition of traffic system information, especially the vehicle speed and trajectory
information, is of great significance to the study of the characteristics and management of the …

[PDF][PDF] Sudden Cardiac Arrest (SCA) Prediction Using ECG Morphological

M Murugappan, L Murugesan, S Jerritta, H Adeli - 2020 - kcst.edu.kw
Sudden cardiac arrest (SCA) prediction using electrocardiogram (ECG) and heart rate
variability (HRV) signals has received the attention of researchers in recent years …

A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning

I Pérez Hurtado de Mendoza… - … -Aided Engineering, 27 …, 2020 - idus.us.es
In recent years, incremental sampling-based motion planning algorithms have been widely
used to solve robot motion planning problems in high-dimensional configuration spaces. In …

A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning

G Zhang, F Neri - Integrated Computer-Aided … - nottingham-repository.worktribe.com
© 2020-IOS Press and the authors. All rights reserved. In recent years, incremental sampling-
based motion planning algorithms have been widely used to solve robot motion planning …