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68
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ICML
2010
IEEE
14 years 10 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld
BMCBI
2006
75views more  BMCBI 2006»
14 years 9 months ago
Improving the specificity of high-throughput ortholog prediction
Background: Orthologs (genes that have diverged after a speciation event) tend to have similar function, and so their prediction has become an important component of comparative g...
Debra L. Fulton, Yvonne Y. Li, Matthew R. Laird, B...
JEI
2008
116views more  JEI 2008»
14 years 8 months ago
Region-of-interest processing for electronic visual prostheses
Electronic visual prostheses, or "bionic eyes," are likely to provide some coarse visual sensations to blind patients who have these systems implanted. The quality of art...
Justin R. Boyle, Anthony J. Maeder, Wageeh W. Bole...
69
Voted
ITIIS
2010
79views more  ITIIS 2010»
14 years 8 months ago
HMM-based Adaptive Frequency-Hopping Cognitive Radio System to Reduce Interference Time and to Improve Throughput
Cognitive Radio is an advanced enabling technology for the efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. It is important to determ...
Sung Hwan Shon, Sung Jeen Jang, Jae Moung Kim
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
14 years 8 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas