Sajila D. Wickramaratne
Orcid: 0000-0003-1045-8616
According to our database1,
Sajila D. Wickramaratne
authored at least 9 papers
between 2020 and 2024.
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Bibliography
2024
Machine Learning Model Combining Ventilatory, Hypoxic, Arousal Domains Across Sleep Better Predicts Adverse Consequences of Obstructive Sleep Apnea.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2021
Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data.
Frontiers Big Data, 2021
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS.
CoRR, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Use of Brain Electrical Activity to Classify People with Concussion: A Deep Learning Approach.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020