Moxian Song
Orcid: 0000-0002-3847-6384
According to our database1,
Moxian Song
authored at least 25 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Pattern Recognit., March, 2024
IEEE Trans. Artif. Intell., January, 2024
2023
SPL-LDP: a label distribution propagation method for semi-supervised partial label learning.
Appl. Intell., September, 2023
Appl. Intell., August, 2023
Continuous diagnosis and prognosis by controlling the update process of deep neural networks.
Patterns, February, 2023
2022
Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment.
Inf. Sci., 2022
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning.
BMC Medical Informatics Decis. Mak., December, 2021
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.
CoRR, 2021
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.
Biomed. Signal Process. Control., 2021
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
An improved evidential DEMATEL identify critical success factors under uncertain environment.
J. Ambient Intell. Humaniz. Comput., 2020
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.
Neurocomputing, 2020
CoRR, 2020
2018
Int. J. Fuzzy Syst., 2018
2017
Int. J. Intell. Syst., 2017