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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 7 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
CVPR
2010
IEEE
16 years 2 months ago
Learning to Recognize Shadows in Monochromatic Natural Images
This paper addresses the problem of recognizing shadows from monochromatic natural images. Without chromatic information, shadow classification is very challenging because the in...
Jiejie Zhu, Kegan Samuel, Syed Zain Masood, Marsha...
CAISE
2009
Springer
16 years 1 months ago
Secure Information Systems Engineering: Experiences and Lessons Learned from Two Health Care Projects
In CAiSE 2006, we had presented a framework to support development of secure information systems. The framework was based on the integration of two security-aware approaches, the S...
Haralambos Mouratidis, Ali Sunyaev, Jan Jürje...
APSEC
2007
IEEE
16 years 1 months ago
Modeling and Learning Interaction-based Accidents for Safety-Critical Software Systems
Analyzing accidents is a vital exercise in the development of safety-critical software systems to prevent past accidents from reoccurring in the future. Current practices such as ...
Tariq Mahmood, Edmund Kazmierczak, Tim Kelly, Denn...
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ICPP
2007
IEEE
16 years 1 months ago
A Meta-Learning Failure Predictor for Blue Gene/L Systems
The demand for more computational power in science and engineering has spurred the design and deployment of ever-growing cluster systems. Even though the individual components use...
Prashasta Gujrati, Yawei Li, Zhiling Lan, Rajeev T...