Affective interaction: Attentive representation learning for multi-modal sentiment classification
The recent booming of artificial intelligence (AI) applications, eg, affective robots, human-
machine interfaces, autonomous vehicles, and so on, has produced a great number of multi …
machine interfaces, autonomous vehicles, and so on, has produced a great number of multi …
Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations
One-hot labels are commonly employed as ground truth in Emotion Recognition in
Conversations (ERC). However, this approach may not fully encompass all the emotions …
Conversations (ERC). However, this approach may not fully encompass all the emotions …
[PDF][PDF] Prediction of Daily Climate Using Long Short-Term Memory (LSTM) Model
Climate prediction plays a vital role in various sectors, including agriculture, disaster
management, and urban planning. Traditional methods for climate forecasting often rely on …
management, and urban planning. Traditional methods for climate forecasting often rely on …