Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2024 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …
applications to human–computer interaction. The expression of human emotion depends on …
MTLFuseNet: a novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning
R Li, C Ren, Y Ge, Q Zhao, Y Yang, Y Shi… - Knowledge-Based …, 2023 - Elsevier
How to extract discriminative latent feature representations from electroencephalography
(EEG) signals and build a generalized model is a topic in EEG-based emotion recognition …
(EEG) signals and build a generalized model is a topic in EEG-based emotion recognition …
[HTML][HTML] A spectral-ensemble deep random vector functional link network for passive brain–computer interface
Randomized neural networks (RNNs) have shown outstanding performance in many
different fields. The superiority of having fewer training parameters and closed-form …
different fields. The superiority of having fewer training parameters and closed-form …
TFCNN-BiGRU with self-attention mechanism for automatic human emotion recognition using multi-channel EEG data
Electroencephalograms (EEG)-based technology for recognizing emotions has attracted a
lot of interest lately. However, there is still work to be done on the efficient fusion of different …
lot of interest lately. However, there is still work to be done on the efficient fusion of different …
TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition
With deep learning (DL) development, EEG-based emotion recognition has attracted
increasing attention. Diverse DL algorithms emerge and intelligently decode human emotion …
increasing attention. Diverse DL algorithms emerge and intelligently decode human emotion …
[HTML][HTML] Electroencephalography based emotion detection using ensemble classification and asymmetric brain activity
Over the past decade, emotion detection using rhythmic brain activity has become a critical
area of research. The asymmetrical brain activity has garnered the most significant level of …
area of research. The asymmetrical brain activity has garnered the most significant level of …
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition
R Li, C Ren, S Zhang, Y Yang, Q Zhao, K Hou… - … Information Science and …, 2023 - Springer
How to use the characteristics of EEG signals to obtain more complementary and
discriminative data representation is an issue in EEG-based emotion recognition. Many …
discriminative data representation is an issue in EEG-based emotion recognition. Many …
Machine learning models for chronic kidney disease diagnosis and prediction
MM Rahman, M Al-Amin, J Hossain - Biomedical Signal Processing and …, 2024 - Elsevier
Background and objective Chronic kidney disease is a severe health problem that affects
people all over the world, particularly in South Asia. Therefore, proper diagnosis and …
people all over the world, particularly in South Asia. Therefore, proper diagnosis and …
Heart disease prediction using stacking model with balancing techniques and dimensionality reduction
Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart
disease is one of the leading causes of mortality worldwide, early detection is crucial …
disease is one of the leading causes of mortality worldwide, early detection is crucial …
Advancing cross-subject olfactory EEG recognition: A novel framework for collaborative multimodal learning between human-machine
X Xia, Y Guo, Y Wang, Y Yang, Y Shi, H Men - Expert Systems with …, 2024 - Elsevier
Odor sensory evaluation is broadly applied in food, clothing, cosmetics, and other fields.
Traditional artificial sensory evaluation has poor repeatability, and the machine olfaction …
Traditional artificial sensory evaluation has poor repeatability, and the machine olfaction …