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Continuous diagnosis and prognosis by controlling the update process of deep neural networks.

, , , , , and . Patterns, 4 (2): 100687 (February 2023)

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Time pattern reconstruction for classification of irregularly sampled time series., , , , , and . Pattern Recognit., (March 2024)Continuous diagnosis and prognosis by controlling the update process of deep neural networks., , , , , and . Patterns, 4 (2): 100687 (February 2023)TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data., , , , , , and . CoRR, (2021)Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning., , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 45 (December 2021)SPL-LDP: a label distribution propagation method for semi-supervised partial label learning., , , , and . Appl. Intell., 53 (18): 20785-20796 (September 2023)A Systematic Review of Echo State Networks From Design to Application., , , , , and . IEEE Trans. Artif. Intell., 5 (1): 23-37 (January 2024)A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making., , , and . Int. J. Intell. Syst., 32 (6): 631-644 (2017)Classifying vaguely labeled data based on evidential fusion., , , , and . Inf. Sci., (2022)A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data., , , and . CoRR, (2020)Adaptive model training strategy for continuous classification of time series., , , , , and . Appl. Intell., 53 (15): 18821-18839 (August 2023)