Aysha Foster

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aysha Foster trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Rosalind W. Picard (in Artificial Intelligence)
  2. A. Graesser (in Artificial Intelligence)
  3. S. D’Mello (in Artificial Intelligence)
  4. Paul A. Viola (in Computer Vision and Pattern Recognition)

Papers from Aysha Foster's perspective

Ordered by how strongly the researchers Aysha Foster trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A decision-theoretic generalization of on-line learning and an application to boosting
  2. Multimodal affect recognition in learning environments (ACM Multimedia)
  3. Toward an Affect-Sensitive AutoTutor (IEEE Intelligent Systems)
  4. Robust Real-time Object Detection
  5. Comprehensive database for facial expression analysis (Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580))
  6. School Engagement: Potential of the Concept, State of the Evidence
  7. The Andes Physics Tutoring System: Lessons Learned (International Journal of Artificial Intelligence in Education)
  8. Affect-aware tutors: recognising and responding to student affect (International Journal of Learning Technology)
  9. Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features (User modeling and user-adapted interaction)
  10. The development and evaluation of a survey to measure user engagement (J. Assoc. Inf. Sci. Technol.)

Their papers