The future of wearable EEG: A review of ear-EEG technology and its applications

N Kaongoen, J Choi, JW Choi, H Kwon… - Journal of Neural …, 2023 - iopscience.iop.org
The future of wearable EEG: A review of ear-EEG technology and its applications Page 1 Journal
of Neural Engineering ACCEPTED MANUSCRIPT The future of wearable EEG: A review of …

L-SeqSleepNet: Whole-cycle long sequence modelling for automatic sleep staging

H Phan, KP Lorenzen, E Heremans… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Human sleep is cyclical with a period of approximately 90 minutes, implying long temporal
dependency in the sleep data. Yet, exploring this long-term dependency when developing …

[HTML][HTML] Knowledge distillation in transformers with tripartite attention: Multiclass brain tumor detection in highly augmented MRIs

SM Alzahrani, AM Qahtani - Journal of King Saud University-Computer and …, 2024 - Elsevier
The advent of attention-based architectures in medical imaging has ushered in an era of
precision diagnostics, particularly in the detection and classification of brain tumors. This …

Self-distillation for gaussian process regression and classification

K Borup, LN Andersen - arXiv preprint arXiv:2304.02641, 2023 - arxiv.org
We propose two approaches to extend the notion of knowledge distillation to Gaussian
Process Regression (GPR) and Gaussian Process Classification (GPC); data-centric and …

Self-Supervised Learning for Sleep Stage Classification with Temporal Augmentation and False Negative Suppression

F Shen, Z Zhang, Y Peng, H Guo… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Self-supervised learning has been gaining attention in the field of sleep stage classification.
It learns representations with unlabeled electroencephalography (EEG) signals, which …

Identification of Coffee Leaf Pests and Diseases based on Transfer Learning and Knowledge Distillation

Z Wang, Z Ren, X Li - Frontiers in Computing and Intelligent Systems, 2023 - drpress.org
The yield of coffee has a significant effect on the development of the economy. It is important
to monitor the health status of coffee plants. Leaves can represent the growth of crops …

Domain Adaptation Using Large Scale Databases for Sleep Staging from a Novel In-Ear Sensor

S Waters, J Berent, P Saini, G Clifford - 2024 - researchsquare.com
Background: Sleep disorders and poor sleep quality contribute to serious health problems
and loss of quality of life, however there are few ways to reliably monitor the progression or …