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Conference and Workshop Papers
- 2020
[c7]Yoonyoung Park, Issa Sylla, Sasha Ballen, Amar K. Das:
Estimating Time Demand for Physicians in a Direct Primary Care Setting. AMIA 2020- [c6]Issa Sylla, Yoonyoung Park, Sasha Ballen, Amar K. Das:
A Visual Analytics Tool for Understanding Provider Networks. AMIA 2020 - [c5]Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das:
A Syntactic Approach for Privacy-Preserving Federated Learning. ECAI 2020: 1762-1769 - 2019
- [c4]Olivia Choudhury, Yoonyoung Park, Theodoros Salonidis, Aris Gkoulalas-Divanis, Issa Sylla, Amar Das:
Predicting Adverse Drug Reactions on Distributed Health Data using Federated Learning. AMIA 2019 - [c3]Olivia Choudhury, Issa Sylla, Noor Fairoza, Amar Das:
A Blockchain Framework for Ensuring Data Quality in Multi-Organizational Clinical Trials. ICHI 2019: 1-9 - 2018
- [c2]Yoonyoung Park, Panagiotis Karampourniotis, Issa Sylla, Amar Das:
Evaluating the Association between Features of Hospital Caregiver Networks and Inpatient Length of Stay. AMIA 2018 - [c1]Olivia Choudhury, Nolan Rudolph, Issa Sylla, Noor Fairoza, Amar Das:
Auto-Generation of Smart Contracts from Domain-Specific Ontologies and Semantic Rules. iThings/GreenCom/CPSCom/SmartData 2018: 963-970
Informal and Other Publications
- 2020
- [i3]Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das:
Anonymizing Data for Privacy-Preserving Federated Learning. CoRR abs/2002.09096 (2020) - 2019
- [i2]Olivia Choudhury, Noor Fairoza, Issa Sylla, Amar Das:
A Blockchain Framework for Managing and Monitoring Data in Multi-Site Clinical Trials. CoRR abs/1902.03975 (2019) - [i1]Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das:
Differential Privacy-enabled Federated Learning for Sensitive Health Data. CoRR abs/1910.02578 (2019)
Coauthor Index
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