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MICCAI
2008
Springer
16 years 7 months ago
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitz...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 7 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 10 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...
ICPR
2010
IEEE
15 years 11 months ago
On-Line Fmri Data Classification Using Linear and Ensemble Classifiers
The advent of real-time fMRI pattern classification opens many avenues for interactive self-regulation where the brain's response is better modelled by multivariate, rather t...
Catrin Oliver Plumpton, Ludmila I. Kuncheva, David...
ACNS
2009
Springer
113views Cryptology» more  ACNS 2009»
15 years 10 months ago
Fast Packet Classification Using Condition Factorization
Abstract. Rule-based packet classification plays a central role in network intrusion detection systems such as Snort. To enhance performance, these rules are typically compiled int...
Alok Tongaonkar, R. Sekar, Sreenaath Vasudevan