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Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling., , , , , , and . Medical Image Anal., (2019)CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data., , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (1): 792-802 (January 2024)Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition., , , , and . CLEF (Working Notes), volume 1391 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Plant identification using deep neural networks via optimization of transfer learning parameters., , and . Neurocomputing, (2017)FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain., and . CoRR, (2022)Active Transfer Learning for 3D Hippocampus Segmentation., , , , and . MILLanD@MICCAI, volume 14307 of Lecture Notes in Computer Science, page 224-234. Springer, (2023)Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks., , , and . CoRR, (2022)Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19., , , , , and . ISBI, page 1-4. IEEE, (2023)Universal Steganalysis Based on Local Prediction Error in Wavelet Domain., , , and . IIH-MSP, page 165-168. IEEE Computer Society, (2011)Image noise level estimation based on higher-order statistics., and . Multim. Tools Appl., 76 (2): 2379-2397 (2017)