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Document classification on neural networks using only positive examples.

, and . SIGIR, page 304-306. ACM, (2000)

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One-Class SVMs for Document Classification., and . J. Mach. Learn. Res., (2001)Naïve Bayes for microRNA target predictions - machine learning for microRNA targets., , , , and . Bioinform., 23 (22): 2987-2992 (2007)Editorial: Computational miRNomics., and . J. Integr. Bioinform., (2016)Detecting Semantic Similarity of Diseases based Machine Learning., , , and . BIBM, page 3118-3124. IEEE, (2023)Distinguishing between MicroRNA Targets from Diverse Species using Sequence Motifs and K-mers., , , and . BIOINFORMATICS, page 133-139. SciTePress, (2017)Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies., , and . BIOINFORMATICS, page 216-225. SciTePress, (2016)Classification and biomarker identification using gene network modules and support vector machines., , , , and . BMC Bioinform., (2009)Learning from positive examples when the negative class is undetermined- microRNA gene identification., , , and . Algorithms Mol. Biol., (2008)Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME., , , , , and . F1000Research, (2020)Sequence-based information-theoretic features for gene essentiality prediction., , , and . BMC Bioinform., 18 (1): 473 (2017)