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» Modeling Learners as Individuals and as Groups
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ICASSP
2011
IEEE
14 years 5 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
IJCAT
2010
87views more  IJCAT 2010»
15 years 11 days ago
Image-based measurement of alveoli volume expansion in an animal model of a diseased lung
Currently, there does not exist reliable MV treatment or protocols in critical care to treat acute respiratory diseases, and thus no proven way to optimise care to minimise the mor...
Christopher E. Hann, Darren Hewett, J. Geoffrey Ch...
WEBI
2010
Springer
14 years 11 months ago
An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors
In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
Jong Gun Lee, Sue Moon, Kavé Salamatian
GROUP
2003
ACM
15 years 7 months ago
How people use orientation on tables: comprehension, coordination and communication
In order to support co-located collaboration, many researchers are now investigating how to effectively augment tabletops with electronic displays. As far back as 1988, orientatio...
Russell Kruger, M. Sheelagh T. Carpendale, Stacey ...
EWSN
2008
Springer
16 years 1 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...