Affective Computing: Theories, Applications, and Predictive Models

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 1 of 4

Musical Features: Emotion & Expression

Explores how music communicates emotions through various features and syntactic structures, impacting listeners' responses and performers' expressions.

Emotions in Learning: Understanding Stress, Sleep, and Self-Regulated Learning

Covers emotions, stress, sleep, and self-regulated learning, highlighting their impact on memory, cognition, and academic achievement.

Emotion & Expression: Mechanisms and Impact

Explores the mechanisms behind emotion and expression in music, covering brain reflexes, rhythmic entrainment, memory, and cultural impact.

Untitled

Understanding Emotions

Explores the definition, adaptive nature, and influence of emotions on behavior and decision-making.

Music and Emotion: Understanding Expressive Communication

Explores the communication differences between music and language, models of emotion, and how emotions can be measured in music.

Deep Learning: Convolutional Neural Networks

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Emotions, Metacognition and Self-Regulated Learning

Delves into emotions' impact on learning, self-efficacy beliefs, and decision-making, exploring categorization and components of emotions.

Deep Learning: Convolutional Neural Networks

Introduces Convolutional Neural Networks, explaining their architecture, training process, and applications in semantic segmentation tasks.

Deep Generative Models: Part 2

Explores deep generative models, including mixtures of multinomials, PCA, deep autoencoders, convolutional autoencoders, and GANs.