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Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression.

, , , , and . CIKM, page 2743-2752. ACM, (2022)

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Optical fiber laser sensor for liquid level measurement based on multimode interference effect., , , and . WOCC, page 1-4. IEEE, (2016)Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application., , , , , , , and . IEEE Internet Things J., 10 (8, April 15): 6742-6755 (2023)Automatic Temporal Relation in Multi-Task Learning., and . KDD, page 3570-3580. ACM, (2023)Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression., , , , and . CIKM, page 2743-2752. ACM, (2022)Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning., , , , and . BIBM, page 2735-2742. IEEE, (2022)Efficient multi-task learning with adaptive temporal structure for progression prediction., , , , and . Neural Comput. Appl., 35 (22): 16305-16320 (August 2023)Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model., , , , and . MSN, page 687-691. IEEE, (2022)Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression., , , , , and . BIBM, page 4444-4451. IEEE, (2023)Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study., , , , and . EMBC, page 979-985. IEEE, (2022)Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning., , , , , , and . MSN, page 366-373. IEEE, (2021)