[HTML][HTML] Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis
H Lin, J Fang, J Zhang, X Zhang, W Piao, Y Liu - Sensors, 2024 - mdpi.com
The global prevalence of Major Depressive Disorder (MDD) is increasing at an alarming
rate, underscoring the urgent need for timely and accurate diagnoses to facilitate effective …
rate, underscoring the urgent need for timely and accurate diagnoses to facilitate effective …
A graph-based neural approach to linear sum assignment problems
C Aironi, S Cornell, S Squartini - International Journal of Neural …, 2024 - iris.univpm.it
Linear assignment problems are well-known combinatorial optimization problems involving
domains such as logistics, robotics, and telecommunications. In general, obtaining an …
domains such as logistics, robotics, and telecommunications. In general, obtaining an …
Anomaly detection in virtual machine logs against irrelevant attribute interference
H Zhang, Y Zhou, H Xu, J Shi, X Lin, Y Gao - PloS one, 2025 - journals.plos.org
Virtual machine logs are generated in large quantities. Virtual machine logs may contain
some abnormal logs that indicate security risks or system failures of the virtual machine …
some abnormal logs that indicate security risks or system failures of the virtual machine …
Simultaneous EEG-fMRI Investigation of Rhythm-Dependent Thalamo-Cortical Circuits Alteration in Schizophrenia.
Schizophrenia is accompanied by aberrant interactions of intrinsic brain networks. However,
the modulatory effect of electroencephalography (EEG) rhythms on the functional …
the modulatory effect of electroencephalography (EEG) rhythms on the functional …
A novel method of cognitive overload assessment based on a fusion feature selection using EEG signals
Z Li, L Tong, Y Zeng, Y Gao, D Gong… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Cognitive overload, as an overload state of cognitive workload, negatively
impacts individuals' task performance and mental health. Cognitive overload assessment …
impacts individuals' task performance and mental health. Cognitive overload assessment …
Multi-Semantic Decoding of Visual Perception with Graph Neural Networks
R Li, J Li, C Wang, H Liu, T Liu… - … journal of neural …, 2024 - pubmed.ncbi.nlm.nih.gov
Constructing computational decoding models to account for the cortical representation of
semantic information plays a crucial role in understanding visual perception. The human …
semantic information plays a crucial role in understanding visual perception. The human …
Discriminative power of handwriting and drawing features in depression
This study contributes knowledge on the detection of depression through
handwriting/drawing features, to identify quantitative and noninvasive indicators of the …
handwriting/drawing features, to identify quantitative and noninvasive indicators of the …
Detection of Depression in EEG Signals Based on Convolutional Transformer and Adaptive Transfer Learning
Q Tan, M Miao - International Conference on Intelligence Science, 2024 - Springer
Electroencephalography (EEG) signals provide an objective reflection of the inner workings
of the brain, making them a promising tool for the diagnosis of depression. However, the …
of the brain, making them a promising tool for the diagnosis of depression. However, the …