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Deep learning with evolutionary and genomic profiles for identifying cancer subtypes.

, , , , , , and . J. Bioinform. Comput. Biol., 17 (3): 1940005:1-1940005:15 (2019)

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Efficient method for AI computing.. VLSI-DAT, page 1. IEEE, (2018)Performance Investigation of Weighted Meta-scheduling Algorithm for Scientific Grid., , , and . GCC, volume 3795 of Lecture Notes in Computer Science, page 1021-1030. Springer, (2005)Models and Heuristics for Resource Co-reservation for Parallel Tasks in Computational Grids., , , and . Neural Parallel Sci. Comput., 12 (3): 261-288 (2004)Deep Transfer Learning Application for Intelligent Marine Debris Detection., , and . EANN, volume 1826 of Communications in Computer and Information Science, page 479-490. Springer, (2023)Deep Learning with Evolutionary and Genomic Profiles for Identifying Cancer Subtypes., , , , , and . BIBE, page 147-150. IEEE, (2018)A GPU Query Accelerator for Geospatial Coordinates Computation., , , and . ICCCRI, page 166-172. IEEE Computer Society, (2015)Understanding Performance Portability of OpenACC for Supercomputers., , , , and . IPDPS Workshops, page 699-707. IEEE Computer Society, (2015)Benchmark Performance on Cluster Grid with NGB., , , , and . IPDPS, IEEE Computer Society, (2004)A Discriminatory Pay-as-Bid Mechanism for Efficient Scheduling in the Sun N1 Grid Engine., , , and . HICSS, page 382. IEEE Computer Society, (2008)IRCasTRF: Inverse Rendering by Optimizing Cascaded Tensorial Radiance Fields, Lighting, and Materials From Multi-view Images., , , and . ACM Multimedia, page 2644-2653. ACM, (2023)