Episodic learning is a popular practice among researchers and practitioners interested in
few-shot learning. It consists of organising training in a series of learning problems (or …

Autism research is primarily targeted toward children and at normalizing autistic traits. We
conducted a literature review of computing research on adult autism, focusing on identifying …

Advancements in wearable sensor technologies and the digitization of medical records have
contributed to the unprecedented ubiquity of biomedical time series data. Data-driven …

For practical motor imagery (MI) brain-computer interface (BCI) applications, generating a
reliable model for a target subject with few MI trials is important since the data collection …

Abstract Early Intervention Behavioral Therapy as a method has been shown to aid children
diagnosed with Autism in adjusting behavior through Applied Behavior Analysis. While there …

Objective To determine the diagnostic accuracy of the applied machine learning algorithms
for the diagnosis of autism spectrum disorder (ASD) based on structural magnetic resonance …

With the world heading towards big data, insurmountable amounts of data are being
generated from Internet of Things devices around the world. Within the healthcare paradigm …

Deep learning (DL) has emerged as an outstanding processing tool for predictive analytics
and decision-making in electroencephalogram (EEG)-based motor imagery brain-computer …