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SIGKDD
2008
150views more  SIGKDD 2008»
11 years 5 months ago
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Ch...
CIDM
2009
IEEE
12 years 4 days ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
MCS
2010
Springer
11 years 3 months ago
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
Muhammad Atif Tahir, Josef Kittler, Krystian Mikol...
GCB
2003
Springer
164views Biometrics» more  GCB 2003»
11 years 10 months ago
Integrative machine learning approach for multi-class SCOP protein fold classification
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
Aik Choon Tan, David Gilbert, Yves Deville
ICIP
2010
IEEE
11 years 3 months ago
A two-pass random forests classification of airborne lidar and image data on urban scenes
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...
Li Guo, Nesrine Chehata, Samia Boukir
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