Daniel Bone

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Leveraging Linguistic Context in Dyadic Interactions to Improve Automatic Speech Recognition for Children

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

Sustainability in Higher Education during the COVID-19 Pandemic: A Systematic Review

Machine learning-based approach: global trends, research directions, and regulatory standpoints

A review of depression and suicide risk assessment using speech analysis

Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech

Deep Learning for Intelligent Human–Computer Interaction

Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI

Intoxicated speech detection: A fusion framework with speaker-normalized hierarchical functionals and GMM supervectors

Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and Promises

Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives]