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Investigation of association estimators in network inference algorithms on breast cancer proteomic data., , and . SIU, page 1-4. IEEE, (2017)Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?, , and . CoRR, (2021)A comprehensive comparison of association estimators for gene network inference algorithms., , and . Bioinform., 30 (15): 2142-2149 (2014)Gen ağı çıkarım algoritmaları için en uygun ilişki kestirimcilerinin belirlenmesi (Determining the most suitable correlation estimators for gene network inference algorithms). Yıldız Technical University, Turkey, (2013)Searching Optimal Sigma Parameter in Radial Basis Kernel Support Vector Machine for Classification of HIV Sub-type Viruses., and . SIGMAP, page 163-166. SciTePress, (2010)Global feature based female facial beauty decision system., , and . EUSIPCO, page 1945-1949. IEEE, (2007)CosmosDSR - a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filter., , and . CoRR, (2023)DepEst: an R package of important dependency estimators for gene network inference algorithms, , , and . bioRxiv, (2017)Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer., , and . CoRR, (2022)Impacts of the different spline orders on the B-spline association estimator., , and . BIBE, page 1-6. IEEE Computer Society, (2013)