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86
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IEEEARES
2009
IEEE
15 years 7 months ago
An Architectural Foundation for Security Model Sharing and Reuse
Within the field of software security we have yet to find efficient ways on how to learn from past mistakes and integrate security as a natural part of software development. Th...
Per Håkon Meland, Shanai Ardi, Jostein Jense...
93
Voted
BMCBI
2008
136views more  BMCBI 2008»
15 years 27 days ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
119
Voted
ACL
2012
13 years 3 months ago
Prediction of Learning Curves in Machine Translation
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
AIIA
2001
Springer
15 years 4 months ago
A New Machine Learning Approach to Fingerprint Classification
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil...
105
Voted
BMCBI
2008
107views more  BMCBI 2008»
15 years 27 days ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng