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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 2 days ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
IWPSE
2007
IEEE
15 years 6 months ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...
ICIAR
2004
Springer
15 years 5 months ago
Neuro-Fuzzy Method for Automated Defect Detection in Aluminium Castings
The automated flaw detection in aluminium castings consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of pote...
Sergio Hernández, Doris Saez, Domingo Mery
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 3 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
99
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BMCBI
2010
123views more  BMCBI 2010»
14 years 11 months ago
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction
Background: Predicting which molecules can bind to a given binding site of a protein with known 3D structure is important to decipher the protein function, and useful in drug desi...
Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe ...