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Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.

A. Gómez-Ríos, S. Tabik, J. Luengo, A. Shihavuddin, B. Krawczyk, and F. Herrera. Expert Syst. Appl., (2019)

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Efficient Data Structure and Highly Scalable Algorithm for Total-Viewshed Computation.S. Tabik, A. Cervilla, E. Zapata, and L. Romero. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (1): 304-310 (2015)A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering.A. Sanchez, L. Romero, S. Tabik, M. Medina-Pérez, and F. Herrera. CAEPIA, volume 11160 of Lecture Notes in Computer Science, page 361-371. Springer, (2018)A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer.Y. Benhammou, S. Tabik, B. Achchab, and F. Herrera. LOPAL, page 47:1-47:6. ACM, (2018)Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.A. Gómez-Ríos, S. Tabik, J. Luengo, A. Shihavuddin, B. Krawczyk, and F. Herrera. Expert Syst. Appl., (2019)A binocular image fusion approach for minimizing false positives in handgun detection with deep learning.R. Olmos, S. Tabik, A. Lamas, F. Pérez-Hernández, and F. Herrera. Information Fusion, (2019)Siting Multiple Observers for Maximum Coverage: An Accurate Approach.A. Cervilla, S. Tabik, and L. Romero. ICCS, volume 51 of Procedia Computer Science, page 356-365. Elsevier, (2015)Anisotropic nonlinear diffusion for filtering 3D images on GPUs.S. Tabik, A. Murarasu, and L. Romero. CLUSTER, page 339-345. IEEE Computer Society, (2014)Filtering 3D images in Structural Biology with Anisotropic Nonlinear Diffusion on SMP Clusters.S. Tabik, E. Garzón, I. García, and J. Fernández. PARCO, volume 33 of John von Neumann Institute for Computing Series, page 727-734. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D Images.S. Tabik, E. Garzón, I. García, and J. Fernández. PDP, page 21-27. IEEE Computer Society, (2006)Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning.A. Safonova, S. Tabik, D. Alcaraz-Segura, A. Rubtsov, Y. Maglinets, and F. Herrera. Remote Sensing, 11 (6): 643 (2019)

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Disambiguation of "Tabik, Siham"

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Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.

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Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.