Shayan Shams
According to our database1,
Shayan Shams
authored at least 19 papers
between 2016 and 2023.
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Bibliography
2023
Non-invasive arterial blood pressure measurement and SpO<sub>2</sub> estimation using PPG signal: a deep learning framework.
BMC Medical Informatics Decis. Mak., December, 2023
CoRR, 2023
CoRR, 2023
2021
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates.
J. Biomed. Informatics, 2021
HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data.
CoRR, 2021
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Fighting for Information Credibility: AnEnd-to-End Framework to Identify FakeNews during Natural Disasters.
Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020
2019
Int. J. Digit. Earth, 2019
Deep Learning-Based Spatial Analytics for Disaster-Related Tweets: An Experimental Study.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
Concurr. Comput. Pract. Exp., 2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID).
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
A Scalable Pipeline for Transcriptome Profiling Tasks with On-Demand Computing Clouds.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016