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Malik Yousef :
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Larry M. Manevitz , Malik Yousef Document classification on neural networks using only positive examples. [Citation Graph (0, 0)][DBLP ] SIGIR, 2000, pp:304-306 [Conf ] Malik Yousef , Michael Nebozhyn , Hagit Shatkay , Stathis Kanterakis , Louise C. Showe , Michael K. Showe Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2006, v:22, n:11, pp:1325-1334 [Journal ] Larry M. Manevitz , Malik Yousef One-Class SVMs for Document Classification. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2001, v:2, n:, pp:139-154 [Journal ] Larry M. Manevitz , Malik Yousef A web navigation system based on a neural network user-model trained with only positive web documents. [Citation Graph (0, 0)][DBLP ] Web Intelligence and Agent Systems, 2004, v:2, n:2, pp:137-144 [Journal ] Larry M. Manevitz , Malik Yousef One-class document classification via Neural Networks. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2007, v:70, n:7-9, pp:1466-1481 [Journal ] VISDA: an open-source caBIGTM analytical tool for data clustering and beyond. [Citation Graph (, )][DBLP ] Naïve Bayes for microRNA target predictions - machine learning for microRNA targets. [Citation Graph (, )][DBLP ] Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data. [Citation Graph (, )][DBLP ] Classification and biomarker identification using gene network modules and support vector machines. [Citation Graph (, )][DBLP ] Search in 0.001secs, Finished in 0.002secs