Table of Contents: 1. Multimodal Machine Learning / 2. Classifying Multimodal Data / 3. Learning for Multimodal and Context-sensitive Interfaces / 4. Deep Learning for Multisensorial and Multimodal Interaction / 5. Multimodal User State and Trait Recognition / 6. Multimodal-Multisensor Affect Detection / 7. Multimodal Analysis of Social Signals / 8. Real-time Sensing of Affect and Social Signals in a Multimodal Framwork / 9. How do Users Perceive Multimodal Expressions of Affects? / 10. Multimodal Behavior and Physiological Signals as Indicators of Cognitive Load / 11. Multimodal Learning Analytics / 12. Multimodal Assessment of Depression and Related Disorders Based on Behavioral Signals / 13. Multimodal Deception Detection / 14. Perspectives on Strategic Fusion / 15. Perspectives on Predictive Power of Multimodal Deep Learning