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CSB
2004
IEEE
115views Bioinformatics» more  CSB 2004»
15 years 4 months ago
PoPS: A Computational Tool for Modeling and Predicting Protease Specificity
Proteases play a fundamental role in the control of intra- and extracellular processes by binding and cleaving specific amino acid sequences. Identifying these targets is extremel...
Sarah E. Boyd, Maria J. García de la Banda,...
APIN
2008
305views more  APIN 2008»
15 years 22 days ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao
ESEM
2008
ACM
15 years 2 months ago
An empirical model to predict security vulnerabilities using code complexity metrics
Complexity is often hypothesized to be the enemy of software security. If this hypothesis is true, complexity metrics may be used to predict the locale of security problems and ca...
Yonghee Shin, Laurie Williams
108
Voted
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
15 years 7 months ago
Local Probabilistic Models for Link Prediction
One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented ...
Chao Wang, Venu Satuluri, Srinivasan Parthasarathy
106
Voted
AIME
2007
Springer
15 years 6 months ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....