- Learning Deep Hierarchical Features with Spatial Regularization for ...🔍
- Emotion Recognition Using EEG Signals and Audiovisual Features ...🔍
- [Article]Transformers for EEG|Based Emotion Recognition🔍
- Temporal Neural Network Model for EEG Emotion Recognition🔍
- Masters and PhD Topics in Multimodal Emotion Recognition🔍
- "From Regional to Global Brain🔍
- Emotion|Recognition|Papers/README.md at main🔍
- Hierarchical attention|based temporal convolutional networks for ...🔍
Emotion recognition using hierarchical spatial|temporal learning ...
Learning Deep Hierarchical Features with Spatial Regularization for ...
We develop a Hierarchical Spatial One Class Facial Expression Recognition Network (HS-OCFER) which can construct the decision boundary of a given expression ...
Emotion Recognition Using EEG Signals and Audiovisual Features ...
... learning robust to expression intensity variations for ... Hierarchical attention-based temporal convolutional networks for eeg-based emotion recognition.
[Article]Transformers for EEG-Based Emotion Recognition - Reddit
[Article]Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model ... Learning in MATLAB using Object- ...
Temporal Neural Network Model for EEG Emotion Recognition
The proposed method, denoted by R2G-STNN, consists of spatial and temporal neural network models with regional to global hierarchical feature learning process ...
Masters and PhD Topics in Multimodal Emotion Recognition - S-Logix
Multimodal Emotion Recognition Using a Hierarchical Fusion Convolutional Neural Network | S-Logix ; Research Area: Machine Learning ; Keywords: deep learning
"From Regional to Global Brain: A Novel Hierarchical Spatial ...
IEEE In this paper, we propose a novel Electroencephalograph (EEG) emotion recognition method inspired by neuroscience with respect to the brain response to ...
Emotion-Recognition-Papers/README.md at main - GitHub
This repo contains a list of papers for emotion recognition using machine learning/deep learning. ... EEG-Based Emotion Recognition Using Hierarchical Network ...
Hierarchical attention-based temporal convolutional networks for ...
Dive into the research topics of 'Hierarchical attention-based temporal convolutional networks for EEG-based emotion recognition'. ... Attention (Machine Learning) ...
A novel spatial-temporal information learning network for EEG ...
... Emotion Recognition Using Domain Adaptive Few-Shot Learning ... Wang, Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning ...
Spoken emotion recognition using hierarchical classifiers
... emotion-related user states in speech. Computer Speech & Language. v25 i1. 4-28. Crossref · Google Scholar. [4]. Pattern Recognition and Machine Learning.
EEG-Based Emotion Recognition With Emotion Localization via ...
We propose a hierarchical self-attention network to jointly model local and global temporal information, so as to localize most related segments.
Design of Hierarchical Classifier to Improve Speech Emotion ...
... emotion recognition using unsupervised learning [34]. Our research aim is to ... Evers, “Learning spectro-temporal features with 3D CNNs for speech emotion ...
TSception: Capturing Temporal Dynamics and Spatial Asymmetry ...
In order to effectively learn temporal-spatial information from EEG for emotion recognition, several neuro-physiological signatures should be considered. For ...
EEG-based emotion recognition using graph convolutional neural ...
Transformers for EEG-based emotion recognition: a hierarchical spatial information learning model. IEEE Sensors J. 22, 4359–4368. doi ...
Sparse Spatial‐Temporal Emotion Graph Convolutional Network for ...
In this study, we propose a sparse spatial-temporal emotion graph convolutional network-based video emotion recognition method (SE-GCN).
EEG-based emotion recognition using a temporal-difference ...
Adam was used with a learning rate of 0.001. The model ... Hierarchical convolutional neural networks for EEG-based emotion recognition.
A comprehensive review of deep learning in EEG-based emotion ...
Transformers for EEG-based emotion recognition: a hierarchical spatial information learning model. IEEE Sensors Journal. 22(5):4359–4368 ...
Learning from hierarchical spatiotemporal descriptors for micro ...
Micro-expression recognition aims to infer genuine emotions that people try to conceal from facial video clips.
Instead, we employ a newly developed single-hidden-layer neural network, called extreme learning machine (ELM) [6], to conduct utterance-level emotion ...
Spatial-temporal network for fine-grained-level emotion EEG ...
Spatial-temporal network for fine-grained-level emotion EEG recognition, Youshuo Ji, Fu Li, Boxun Fu, Yang Li, Yijin Zhou, Yi Niu, ...