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Deep Auto-Encoder Based on Supervised Learning for Damaged Face Reconstruction., , , , and . ICIMCS, volume 819 of Communications in Computer and Information Science, page 290-299. Springer, (2017)Embedded error compensation for energy efficient DSP systems., and . GlobalSIP, page 30-34. IEEE, (2014)A road segmentation method based on the deep auto-encoder with supervised learning., , , , and . Comput. Electr. Eng., (2018)A Triangular Grid Filter Method Based on the Slope Filter., , , , , and . Remote. Sens., 15 (11): 2930 (2023)Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction., , , , , and . Bioinform., 36 (8): 2538-2546 (2020)A Knowledge-based Deep Heterogeneous Graph Matching Model for Multimodal RecipeQA., , , , and . ISWC (Posters/Demos/Industry), volume 2980 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Max Consensus in Sensor Networks: Non-linear Bounded Transmission and Additive Noise., , , and . CoRR, (2016)Probabilistic Error Models for machine learning kernels implemented on stochastic nanoscale fabrics., and . DATE, page 481-486. IEEE, (2016)Effective identification of failure-inducing changes: a hybrid approach., , , and . PASTE, page 77-83. ACM, (2008)Automatically synthesizing SQL queries from input-output examples., and . ASE, page 224-234. IEEE, (2013)