Rumi Chunara

Orcid: 0000-0002-5346-7259

According to our database1, Rumi Chunara authored at least 45 papers between 2004 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Leveraging CLIP for Inferring Sensitive Information and Improving Model Fairness.
CoRR, 2024

Disparate Effect Of Missing Mediators On Transportability of Causal Effects.
CoRR, 2024

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model.
CoRR, 2024

Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge.
CoRR, 2024

Understanding Disparities in Post Hoc Machine Learning Explanation.
CoRR, 2024

2023
A Brief Tutorial on Sample Size Calculations for Fairness Audits.
CoRR, 2023

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
Proceedings of the International Conference on Machine Learning, 2023

Measures of Disparity and their Efficient Estimation.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Fair contrastive pre-training for geographic images.
CoRR, 2022

Data science in public health: building next generation capacity.
CoRR, 2022

ICWSM 2022 Workshop on Data for the Wellbeing of Most Vulnerable: Global Problems, Local Solutions.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

Segmenting across places: The need for fair transfer learning with satellite imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Machine learning and algorithmic fairness in public and population health.
Nat. Mach. Intell., 2021

Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19.
J. Am. Medical Informatics Assoc., 2021

ICWSM 2021 Workshop on Data for the Wellbeing of Most Vulnerable: Promises and Challenges.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Fairness Violations and Mitigation under Covariate Shift.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Causal Multi-level Fairness.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
COVID-19 transforms health care through telemedicine: Evidence from the field.
J. Am. Medical Informatics Assoc., 2020

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
CoRR, 2020

Machine Learning in Population and Public Health.
CoRR, 2020

No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Quasi-Experimental Designs for Assessing Response on Social Media to Policy Changes.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019
Fair Predictors under Distribution Shift.
CoRR, 2019

Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning.
CoRR, 2019

Reports of the Workshops Held at the 2019 International AAAI Conference on Web and Social Media.
AI Mag., 2019

Using Contextual Information to Improve Blood Glucose Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Race, Ethnicity and National Origin-Based Discrimination in Social Media and Hate Crimes across 100 U.S. Cities.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Deep Landscape Features for Improving Vector-borne Disease Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes.
Proc. ACM Hum. Comput. Interact., 2018

Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS.
npj Digit. Medicine, 2018

Population-aware Hierarchical Bayesian Domain Adaptation.
CoRR, 2018

Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts.
CoRR, 2018

Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media.
AI Mag., 2018

From the User to the Medium: Neural Profiling Across Web Communities.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Creating full individual-level location timelines from sparse social media data.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data.
Proc. ACM Hum. Comput. Interact., 2017

Using Sparse Digital Traces to Fill in Individual Level Mobility Timelines.
CoRR, 2017

Assessing Behavior Stage Progression From Social Media Data.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

New data paradigms: From the crowd and back.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Network inference from multimodal data: A review of approaches from infectious disease transmission.
J. Biomed. Informatics, 2016

2014
First Feasibility of a Surveillance Platform Combining Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing.
Proceedings of the AMIA 2014, 2014

2013
Participatory disease surveillance in Latin America.
Proceedings of the 22nd International World Wide Web Conference, 2013

2004
Phased array systems in silicon.
IEEE Commun. Mag., 2004


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