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HCI
2009
13 years 8 months ago
Responding to Learners' Cognitive-Affective States with Supportive and Shakeup Dialogues
This paper describes two affect-sensitive variants of an existing intelligent tutoring system called AutoTutor. The new versions of AutoTutor detect learners' boredom, confusi...
Sidney K. D'Mello, Scotty D. Craig, Karl Fike, Art...
JDCTA
2010
150views more  JDCTA 2010»
13 years 4 months ago
A Knowledge Recommend System Based on User Model
The content and searching method of knowledge base are lack of the consideration of user requirements, it is difficult for the user to select the knowledge satisfy with the user r...
Jiagen Sheng, Sifeng Liu
ICCV
2011
IEEE
12 years 10 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
14 years 10 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
IV
2005
IEEE
105views Visualization» more  IV 2005»
14 years 3 months ago
Learnability of Interactive Coordinated-View Visualizations
This paper examines the Human Computer Interaction issue of learnability of interactive coordinated-view visualizations. We take the case of DataMaps, a Census data visualization ...
Sujatha Krishnamoorthy, Christopher North