Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis
Electroencephalogram (EEG)-based emotion computing has become a hot topic of brain-
computer fusion. EEG signals have inherent temporal and spatial characteristics. However …
computer fusion. EEG signals have inherent temporal and spatial characteristics. However …
Hybrid densenet with long short-term memory model for multi-modal emotion recognition from physiological signals
A Pradhan, S Srivastava - Multimedia Tools and Applications, 2024 - Springer
Recognition of emotions from multi-modal physiological signals is one among the toughest
tasks prevailing amid the research communities. Most existing works have focused on …
tasks prevailing amid the research communities. Most existing works have focused on …
Toward extracting and exploiting generalizable knowledge of deep 2D transformations in computer vision
Existing deep learning models suffer from out-of-distribution (ood) performance drop in
computer vision tasks. In comparison, humans have a remarkable ability to interpret images …
computer vision tasks. In comparison, humans have a remarkable ability to interpret images …
Organic changes in the brain, sleep loss, and sleep modulation with aging: A review
The sleep loss (SL) are one of the important diseases that endanger the health of aging
individuals. This study evaluated SL in aging individuals, and explored the relationship …
individuals. This study evaluated SL in aging individuals, and explored the relationship …
Explainable data poison attacks on human emotion evaluation systems based on EEG signals
The major aim of this paper is to explain the data poisoning attacks using label-flipping
during the training stage of the electroencephalogram (EEG) signal-based human emotion …
during the training stage of the electroencephalogram (EEG) signal-based human emotion …
Spectrum-based channel attention cooperating with time continuity encoding in transformer for EEG emotion analysis
G Peng, H Zhang, K Zhao, M Hu - Biomedical Signal Processing and …, 2024 - Elsevier
Recently, electroencephalogram (EEG) emotion analysis has attracted increasing attention
in many fields, such as neuroscience and brain-computer fusion. Due to the spatial channel …
in many fields, such as neuroscience and brain-computer fusion. Due to the spatial channel …
Emotion Detection from Text: Classification and Prediction of Moods in Real-Time Streaming Text
P Juyal, A Kundalya - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
Emotion detection is a method which can be used to determine publics' attitudes, feelings,
and feelings towards a specific target, such as persons, groups, organizations, various …
and feelings towards a specific target, such as persons, groups, organizations, various …
Data poisoning attacks on EEG signal-based risk assessment systems
Industrial insider risk assessment using electroencephalogram (EEG) signals has
consistently attracted a lot of research attention. However, EEG signal-based risk …
consistently attracted a lot of research attention. However, EEG signal-based risk …
Retrieval‐Based Factorization Machines for Human Click Behavior Prediction
Y Tang, S Wang, Y Huang, X Zhao… - Computational …, 2022 - Wiley Online Library
Human click behavior prediction is crucial for recommendation scenarios such as online
commodity or advertisement recommendation, as it is helpful to improve the quality and user …
commodity or advertisement recommendation, as it is helpful to improve the quality and user …
Optimizing Hyperparameters of CNN and DNN for Emotion Classification Based on EEG Signals
EEG emotion is a research topic that has gained significant attention in the development of
emotion classification systems. This study focuses on optimizing the hyperparameters of …
emotion classification systems. This study focuses on optimizing the hyperparameters of …