Shayan Shams

According to our database1, Shayan Shams authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

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

Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research.
CoRR, 2023

Predicting multiple sclerosis disease severity with multimodal deep neural networks.
CoRR, 2023

2021
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates.
J. Biomed. Informatics, 2021

Use of the Deep Learning Approach to Measure Alveolar Bone Level.
CoRR, 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
Social and geographical disparities in Twitter use during Hurricane Harvey.
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
Deep Generative Breast Cancer Screening and Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

GPU-Accelerated Large-Scale Genome Assembly.
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
Hadoop-based replica exchange over heterogeneous distributed cyberinfrastructures.
Concurr. Comput. Pract. Exp., 2017

Evaluation of Deep Learning Frameworks Over Different HPC Architectures.
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


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