Lipopolysaccharide-induced model of neuroinflammation: mechanisms of action, research application and future directions for its use
A Skrzypczak-Wiercioch, K Sałat - Molecules, 2022 - mdpi.com
Despite advances in antimicrobial and anti-inflammatory therapies, inflammation and its
consequences still remain a significant problem in medicine. Acute inflammatory responses …
consequences still remain a significant problem in medicine. Acute inflammatory responses …
Facial emotion recognition using transfer learning in the deep CNN
Human facial emotion recognition (FER) has attracted the attention of the research
community for its promising applications. Map** different facial expressions to the …
community for its promising applications. Map** different facial expressions to the …
ViTFER: facial emotion recognition with vision transformers
In several fields nowadays, automated emotion recognition has been shown to be a highly
powerful tool. Map** different facial expressions to their respective emotional states is the …
powerful tool. Map** different facial expressions to their respective emotional states is the …
Multi-modal emotion recognition using EEG and speech signals
Abstract Automatic Emotion Recognition (AER) is critical for naturalistic Human–Machine
Interactions (HMI). Emotions can be detected through both external behaviors, eg, tone of …
Interactions (HMI). Emotions can be detected through both external behaviors, eg, tone of …
Modulation spectral features for speech emotion recognition using deep neural networks
This work explores the use of constant-Q transform based modulation spectral features (CQT-
MSF) for speech emotion recognition (SER). The human perception and analysis of sound …
MSF) for speech emotion recognition (SER). The human perception and analysis of sound …
Emonet: A transfer learning framework for multi-corpus speech emotion recognition
In this manuscript, the topic of multi-corpus Speech Emotion Recognition (SER) is
approached from a deep transfer learning perspective. A large corpus of emotional speech …
approached from a deep transfer learning perspective. A large corpus of emotional speech …
Speech emotion recognition using clustering based GA-optimized feature set
Speech Emotion Recognition (SER) is a hot topic in academia and industry. Feature
engineering plays a pivotal role in building an efficient SER. Although researchers have …
engineering plays a pivotal role in building an efficient SER. Although researchers have …
Modulation spectral signal representation for quality measurement and enhancement of wearable device data: A technical note
Wearable devices are burgeoning, and applications across numerous verticals are
emerging, including human performance monitoring, at-home patient monitoring, and health …
emerging, including human performance monitoring, at-home patient monitoring, and health …
Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech
Continuous dimensional emotion recognition from speech helps robots or virtual agents
capture the temporal dynamics of a speaker's emotional state in natural human–robot …
capture the temporal dynamics of a speaker's emotional state in natural human–robot …
MIA-Net: Multi-modal interactive attention network for multi-modal affective analysis
When a multi-modal affective analysis model generalizes from a bimodal task to a trimodal
or multi-modal task, it is usually transformed into a hierarchical fusion model based on every …
or multi-modal task, it is usually transformed into a hierarchical fusion model based on every …