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Multi-level gene/MiRNA feature selection using deep belief nets and active learning.

, , , and . EMBC, page 3957-3960. IEEE, (2014)

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miRNA and Gene Expression based Cancer Classification using Self- Learning and Co-Training Approaches., , , and . CoRR, (2014)Fuzzy outlier analysis a combined clustering - outlier detection approach., , and . SMC, page 412-418. IEEE, (2007)Adaptive similarity search in metric trees., , and . SMC, page 419-424. IEEE, (2007)A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities., , and . Pattern Recognit., 42 (7): 1193-1209 (2009)Associating functional groups to multiple clinical types using combined t-test scores and contingency-based measures: a study on breast cancer genes., and . Int. J. Comput. Biol. Drug Des., 5 (3/4): 261-283 (2012)A scoping review of artificial intelligence-based methods for diabetes risk prediction., , , , and . npj Digit. Medicine, (2023)Wiki-rec: A semantic-based recommendation system using Wikipedia as an ontology., , , , , and . ISDA, page 1465-1470. IEEE, (2010)Discovering Clusters with Arbitrary Shapes and Densities in Data Streams., , and . ICMLA (1), page 279-282. IEEE Computer Society, (2011)Corrigendum to Ä distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities" Pattern Recognition 42 (2009) 1193-1209., , and . Pattern Recognit., 45 (9): 3580-3582 (2012)Pattern Cores And Connectedness in Cancer Gene Expression., , and . BIBE, page 100-107. IEEE Computer Society, (2007)