Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey

Z Zhang, X Ding, X Liang, Y Zhou… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Deep learning (DL) is increasingly viewed as a foundational methodology for advancing
Artificial Intelligence (AI). However, its interpretability remains limited, and it often …

A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis

X Xu, J Li, Z Zhu, L Zhao, H Wang, C Song, Y Chen… - Bioengineering, 2024 - mdpi.com
Disease diagnosis represents a critical and arduous endeavor within the medical field.
Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to …

You have interrupted me again!: making voice assistants more dementia-friendly with incremental clarification

A Addlesee, A Eshghi - Frontiers in Dementia, 2024 - frontiersin.org
In spontaneous conversation, speakers seldom have a full plan of what they are going to say
in advance: they need to conceptualise and plan incrementally as they articulate each word …

Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders Research

E Mancini, A Tanevska, A Galassi, A Galatolo… - arXiv preprint arXiv …, 2024 - arxiv.org
Current research in machine learning and artificial intelligence is largely centered on
modeling and performance evaluation, less so on data collection. However, recent research …

Machine Learning, Features, and Computational Approaches to Discourse Analysis

N Clarke, P Garrard - Spoken Discourse Impairments in the Neurogenic …, 2024 - Springer
The advent of machine-readable text revolutionized discourse analysis, ensuring
computation of myriad linguistic features, spanning vocabulary to semantics, quickly and at …

Comparison of classification performance between adult and elderly using acoustic and linguistic features from spontaneous speech

SH Han, BO Kang, S Dong - KIPS Transactions on Software and …, 2023 - koreascience.kr
This paper aims to compare the performance of speech data classification into two groups,
adult and elderly, based on the acoustic and linguistic characteristics that change due to …

[PDF][PDF] ML4CMH: First Workshop on Machine Learning for Cognitive and Mental Health

M Stanojevic - 2024 - ceur-ws.org
With a COVID-19 magnified mental health crisis and growing old population (10.7% of
population aged over 65 is diagnosed with Alzheimer's disease and 18% is diagnosed with …