Multimodal Emotion Recognition with deep learning: advancements, challenges, and future directions
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …
Disfluency Assessment Using Deep Super Learners
The use of machine learning algorithms for the assessment of speech fluency is increasingly
becoming recognized globally due to their ability to quickly identify speech impairments …
becoming recognized globally due to their ability to quickly identify speech impairments …
Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data
B Amirshahi, S Lahmiri - Expert Systems, 2024 - Wiley Online Library
This study explores the performance of gradient boosting methods in bankruptcy prediction
for a highly imbalanced dataset. We developed different heterogenous ensemble models …
for a highly imbalanced dataset. We developed different heterogenous ensemble models …
Multimodal Emotion Recognition with Deep Learning:: Advancements, challenges, and future directions
G AV, UE - 2024 - dl.acm.org
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …