Luping Fang
Orcid: 0000-0001-7752-4839
According to our database1,
Luping Fang
authored at least 17 papers
between 2005 and 2023.
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Bibliography
2023
Int. J. Multim. Inf. Retr., December, 2023
Robust multimedia recommender system based on dynamic collaborative filtering and directed adversarial learning.
Int. J. Mach. Learn. Cybern., November, 2023
IEEE J. Biomed. Health Informatics, August, 2023
IEEE Trans. Cogn. Commun. Netw., February, 2023
Comprehensive breathing variability indices enhance the prediction of extubation failure in patients on mechanical ventilation.
Comput. Biol. Medicine, February, 2023
2022
Neural Process. Lett., 2022
IEEE Access, 2022
2021
Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning.
Sensors, 2021
An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation.
Comput. Methods Programs Biomed., 2021
2020
Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls.
Comput. Math. Methods Medicine, 2020
Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network.
Comput. Biol. Medicine, 2020
A novel data augmentation method to enhance deep neural networks for detection of atrial fibrillation.
Biomed. Signal Process. Control., 2020
2017
Resampling the RR tachogram enhances the deceleration capacity of heart rate in the assessment of chronic heart failure.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
Do the deceleration/acceleration capacities of heart rate reflect cardiac sympathetic or vagal activity? A model study.
Medical Biol. Eng. Comput., 2016
The degree of heart rate asymmetry is crucial for the validity of the deceleration and acceleration capacity indices of heart rate: A model-based study.
Comput. Biol. Medicine, 2016
Controlling the Inspiration/Expiration Ratio Benefits the Deceleration Capacity Index of Heart Rate in Assessing the Sympatho-vagal Balance.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005