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Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation., , , , , and . Expert Syst. Appl., (2019)Total 3D-viewshed Map: Quantifying the Visible Volume in Digital Elevation Models., , , , and . Trans. GIS, 21 (3): 591-607 (2017)A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer., , , and . LOPAL, page 47:1-47:6. ACM, (2018)Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges., , , , , , , and . CoRR, (2020)Deep learning in video multi-object tracking: A survey., , , , , and . Neurocomputing, (2020)Human pose estimation for mitigating false negatives in weapon detection in video-surveillance., , , , , , and . Neurocomputing, (2022)FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations., , , and . Inf. Fusion, (2020)Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors., , , , , , and . Sensors, 21 (1): 320 (2021)Efficient Data Structure and Highly Scalable Algorithm for Total-Viewshed Computation., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (1): 304-310 (2015)Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance., , , , , and . Knowl. Based Syst., (2020)