Neural decoding of EEG signals with machine learning: a systematic review

M Saeidi, W Karwowski, FV Farahani, K Fiok, R Taiar… - Brain sciences, 2021 - mdpi.com
Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

[HTML][HTML] COVID-19 and urban planning: Built environment, health, and well-being in Greek cities before and during the pandemic

K Mouratidis, A Yiannakou - Cities, 2022 - Elsevier
Abstract The coronavirus disease (COVID-19) pandemic has led to dramatic changes in
quality of life, bringing to the forefront of the debate the question of planning and design of …

Neural decoding of visual information across different neural recording modalities and approaches

YJ Zhang, ZF Yu, JK Liu, TJ Huang - Machine Intelligence Research, 2022 - Springer
Vision plays a peculiar role in intelligence. Visual information, forming a large part of the
sensory information, is fed into the human brain to formulate various types of cognition and …

The impact of weather condition and social activity on COVID-19 transmission in the United States

X Zhang, V Maggioni, P Houser, Y Xue, Y Mei - Journal of Environmental …, 2022 - Elsevier
Abstract The coronavirus disease 2019 (COVID-19) has been first reported in December
2019 and rapidly spread worldwide. As other severe acute respiratory syndromes, it is a …

Patterns and correlates of mental healthcare utilization during the COVID-19 pandemic among individuals with pre-existing mental disorder

H Lee, CJ Kennedy, A Tu, J Restivo, CH Liu… - Plos one, 2024 - journals.plos.org
How did mental healthcare utilization change during the COVID-19 pandemic period among
individuals with pre-existing mental disorder? Understanding utilization patterns of these at …

Assessing pain research: a narrative review of emerging pain methods, their technosocial implications, and opportunities for multidisciplinary approaches

SE Berger, AT Baria - Frontiers in Pain Research, 2022 - frontiersin.org
Pain research traverses many disciplines and methodologies. Yet, despite our
understanding and field-wide acceptance of the multifactorial essence of pain as a sensory …

Protoformer: Embedding prototypes for transformers

A Farhangi, N Sui, N Hua, H Bai, A Huang… - Pacific-Asia Conference …, 2022 - Springer
Transformers have been widely applied in text classification. Unfortunately, real-world data
contain anomalies and noisy labels that cause challenges for state-of-art Transformers. This …

Am I Hurt?: evaluating psychological pain detection in Hindi text using transformer-based models

R Kaur, MPS Bhatia, A Kumar - ACM Transactions on Asian and Low …, 2024 - dl.acm.org
NLP and Deep Learning (DL) have gained popularity, and there is a growing interest in
investigating these technologies to aid in pain diagnosis utilizing textual data. An emerging …

The psychological distress and COVID-19 pandemic during lockdown: A cross-sectional study from United Arab Emirates (UAE)

R Abdelrahman, ME Ismail - Heliyon, 2022 - cell.com
Background The pandemic resulted in the societal changes as conflicts and instability were
the common concerns experienced by families because of the lockdown. However, the …

A cross-modal study of pain across communities in the united states

A Aggarwal, S Rai, S Giorgi, S Havaldar… - … Proceedings of the …, 2023 - dl.acm.org
Pain is one of the most prevalent reasons for seeking medical attention in the United States.
Understanding how different communities report and express pain can aid in directing …