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Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data., , , , , and . IEEE J. Biomed. Health Informatics, 25 (6): 1881-1891 (2021)Sequence training of DNN acoustic models with natural gradient., and . ASRU, page 178-184. IEEE, (2017)MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data., , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (5): 101560 (May 2023)Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database., , , , , and . Appl. Soft Comput., (2021)HAS: Heterogeneity-Aware Selective Data Layout Scheme for Parallel File Systems on Hybrid Servers., , and . IPDPS, page 613-622. IEEE Computer Society, (2015)A Heterogeneity-Aware Region-Level Data Layout for Hybrid Parallel File Systems., , , , and . ICPP, page 340-349. IEEE Computer Society, (2015)Optimisation methods for training deep neural networks in speech recognition. University of Cambridge, UK, (2019)British Library, EThOS.Combining Natural Gradient with Hessian Free Methods for Sequence Training., and . INTERSPEECH, page 2918-2922. ISCA, (2018)Exploring deep feature-blending capabilities to assist glaucoma screening., , , , and . Appl. Soft Comput., (January 2023)Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation., , , , , and . IJCNN, page 1-8. IEEE, (2020)