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JAIR
2002
95views more  JAIR 2002»
15 years 2 months ago
SMOTE: Synthetic Minority Over-sampling Technique
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally repres...
Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hal...
CG
2010
Springer
15 years 2 months ago
A visual analytics approach to diagnosis of breast DCE-MRI data
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast has become an important image modality for early breast cancer detection. In comparison to conventiona...
Sylvia Glaßer, Uta Preim, Klaus D. Tönn...
ACL
2004
15 years 4 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
Mona T. Diab
123
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HVEI
2010
15 years 4 months ago
Tradeoffs in subjective testing methods for image and video quality assessment
An objective quality estimator for either still images or video should accurately estimate the perceived quality scores of a collection of stimuli. New applications and processing...
David M. Rouse, Romuald Pépion, Patrick Le ...
131
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ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
15 years 6 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...