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124
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MM
2005
ACM
139views Multimedia» more  MM 2005»
15 years 10 months ago
Multimodal affect recognition in learning environments
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...
Ashish Kapoor, Rosalind W. Picard
METRICS
2002
IEEE
15 years 9 months ago
What We Have Learned About Fighting Defects
The Center for Empirically Based Software Engineering helps improve software development by providing guidelines for selecting development techniques, recommending areas for furth...
Forrest Shull, Victor R. Basili, Barry W. Boehm, A...
GI
2009
Springer
15 years 9 months ago
Applying Semantic Technologies for Context-Aware AAL Services: What we can learn from SOPRANO
Abstract: Ambient assisted living (AAL) is a newly emerging term describing a research area with focus on services that support people in their daily life with particular focus on ...
Peter Wolf, Andreas Schmidt, Michael Klein
164
Voted
FORTE
2008
15 years 6 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
SOCIALCOM
2010
15 years 2 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang