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DLGraph: Malware Detection Using Deep Learning and Graph Embedding.

, , and . ICMLA, page 1029-1033. IEEE, (2018)

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Top-k Parametrized Boost., , , , , and . MIKE, volume 8891 of Lecture Notes in Computer Science, page 91-98. Springer, (2014)End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images., , and . IDEAL, volume 13113 of Lecture Notes in Computer Science, page 343-353. Springer, (2021)A link prediction approach to cancer drug sensitivity prediction., and . BMC Syst. Biol., 11 (S-5): 94:1-94:14 (2017)An empirical study of machine learning algorithms for cancer identification.. ICNSC, page 1-5. IEEE, (2018)Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques., and . MLDM, volume 10358 of Lecture Notes in Computer Science, page 63-77. Springer, (2017)A Learning Framework to Improve Unsupervised Gene Network Inference., , and . MLDM, volume 9729 of Lecture Notes in Computer Science, page 28-42. Springer, (2016)Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function., , and . ICMLA, page 761-764. IEEE, (2017)Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction., and . Knowl. Based Syst., (2021)Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods., , and . ICMLA, page 140-145. IEEE Computer Society, (2016)A greedy-based oversampling approach to improve the prediction of mortality in MERS patients., and . SysCon, page 1-5. IEEE, (2016)