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2020 – today
- 2022
[c16]Boshu Ru, Stephanie Kujawski, Amar Das, Nelson Afanador, Richard Baumgartner, Manjiri Pawaskar:
Unsupervised Learning to Profile Measles Outbreak Risk for US Counties. AMIA 2022- 2020
- [c15]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 - [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)
2010 – 2019
- 2019
- [c14]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 - [c13]Tsung-Ting Kuo, Amar Das, Kim Augustine, Peng Dana Zhang, Lucila Ohno-Machado:
Current Applications of Blockchain Technology in Biomedical Research and Healthcare. AMIA 2019 - [c12]Jeff L. Sokolov, Morgan Foreman, Yoonyoung Park, Sarah Miller, Amar Das, Paul C. Tang:
Designing for the Information Needs of Primary Care Physicians. AMIA 2019 - [c11]Olivia Choudhury, Issa Sylla, Noor Fairoza, Amar Das:
A Blockchain Framework for Ensuring Data Quality in Multi-Organizational Clinical Trials. ICHI 2019: 1-9 - [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) - 2018
- [c10]Yoonyoung Park, Panagiotis Karampourniotis, Issa Sylla, Amar Das:
Evaluating the Association between Features of Hospital Caregiver Networks and Inpatient Length of Stay. AMIA 2018 - [c9]Hillol Sarker, Allison Tam, Morgan Foreman, Nicholas Fay, Murtaza Dhuliawala, Amar Das:
Detection of Stereotypical Motor Movements in Autism using a Smartwatch-based System. AMIA 2018 - [c8]Jonah Casebeer, Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Mary Pietrowicz
, Amar Das:
Verbal Protest Recognition in Children with Autism. ICASSP 2018: 301-305 - [c7]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 - 2017
- [c6]Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Amar Das:
vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers. SMM4H@AMIA 2017: 32-39 - 2016
- [c5]Alexander Titus, Rebecca Faill, Amar Das:
Automatic Identification of Co-Occuring Patient Events. BCB 2016: 579-586 - 2015
- [c4]Roy Williams, Scott Williams, Amar Das:
Using agent-based simulation to understand populatation dynamics and coevolution in host-pathogen relationships. WSC 2015: 3110-3111 - 2011
- [c3]Richard J. Waldinger, Daniel G. Bobrow, Cleo Condoravdi, Kyle Richardson, Amar Das:
Accessing Structured Health Information through English Queries and Automatic Deduction. AAAI Spring Symposium: AI and Health Communication 2011 - [c2]Daniel G. Bobrow, Cleo Condoravdi, Kyle Richardson, Richard J. Waldinger, Amar Das:
Deducing answers to english questions from structured data. IUI 2011: 299-302 - [c1]Kyle Richardson, Daniel G. Bobrow, Cleo Condoravdi, Richard J. Waldinger, Amar Das:
English Access to Structured Data. ICSC 2011: 13-20
Coauthor Index
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