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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
14 years 5 days ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
BMCBI
2010
165views more  BMCBI 2010»
13 years 11 months ago
Multivariate meta-analysis of proteomics data from human prostate and colon tumours
Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of met...
Lina Hultin Rosenberg, Bo Franzén, Gert Aue...
FLAIRS
2008
14 years 1 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
BMCBI
2008
128views more  BMCBI 2008»
13 years 11 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
TMI
2011
182views more  TMI 2011»
13 years 5 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang