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2020 – today
- 2024
[c21]Vishwali Mhasawade
, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara:
Understanding Disparities in Post Hoc Machine Learning Explanation. FAccT 2024: 2374-2388- [i24]Vishwali Mhasawade, Salman Rahman, Zoe Haskell-Craig, Rumi Chunara:
Understanding Disparities in Post Hoc Machine Learning Explanation. CoRR abs/2401.14539 (2024) - [i23]Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara:
Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge. CoRR abs/2402.06059 (2024) - [i22]Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara:
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model. CoRR abs/2402.10965 (2024) - [i21]Vishwali Mhasawade, Rumi Chunara:
Disparate Effect Of Missing Mediators On Transportability of Causal Effects. CoRR abs/2403.08638 (2024) - [i20]Miao Zhang, Rumi Chunara:
Leveraging CLIP for Inferring Sensitive Information and Improving Model Fairness. CoRR abs/2403.10624 (2024) - 2023
- [c20]Harvineet Singh, Rumi Chunara:
Measures of Disparity and their Efficient Estimation. AIES 2023: 927-938 - [c19]Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell:
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023: 31969-31989 - [i19]Harvineet Singh, Fan Xia, Mi-Ok Kim, Romain Pirracchio, Rumi Chunara, Jean Feng:
A Brief Tutorial on Sample Size Calculations for Fairness Audits. CoRR abs/2312.04745 (2023) - 2022
- [c18]Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara:
Segmenting across places: The need for fair transfer learning with satellite imagery. CVPR Workshops 2022: 2915-2924 - [c17]Yelena Mejova, Kyriaki Kalimeri, Daniela Paolotti, Rumi Chunara:
ICWSM 2022 Workshop on Data for the Wellbeing of Most Vulnerable: Global Problems, Local Solutions. ICWSM Workshops 2022 - [i18]Miao Zhang, Harvineet Singh, Lazarus Chok, Rumi Chunara:
Segmenting across places: The need for fair transfer learning with satellite imagery. CoRR abs/2204.04358 (2022) - [i17]Nicholas Mirin, Heather Mattie, Latifa Jackson, Zainab Samad, Rumi Chunara:
Data science in public health: building next generation capacity. CoRR abs/2208.03461 (2022) - [i16]Miao Zhang, Rumi Chunara:
Fair contrastive pre-training for geographic images. CoRR abs/2211.08672 (2022) - 2021
- [j10]Rumi Chunara, Yuan Zhao, Ji Chen, Katharine Lawrence, Paul A. Testa, Oded Nov, Devin M. Mann:
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19. J. Am. Medical Informatics Assoc. 28(1): 33-41 (2021) - [j9]Vishwali Mhasawade, Yuan Zhao, Rumi Chunara:
Machine learning and algorithmic fairness in public and population health. Nat. Mach. Intell. 3(8): 659-666 (2021) - [c16]Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES 2021: 401-413 - [c15]Vishwali Mhasawade, Rumi Chunara:
Causal Multi-level Fairness. AIES 2021: 784-794 - [c14]Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara:
Fairness Violations and Mitigation under Covariate Shift. FAccT 2021: 3-13 - [c13]Yelena Mejova, Kyriaki Kalimeri, Daniela Paolotti, Rumi Chunara:
ICWSM 2021 Workshop on Data for the Wellbeing of Most Vulnerable: Promises and Challenges. ICWSM Workshops 2021 - 2020
- [j8]Devin M. Mann, Ji Chen, Rumi Chunara, Paul A. Testa, Oded Nov:
COVID-19 transforms health care through telemedicine: Evidence from the field. J. Am. Medical Informatics Assoc. 27(7): 1132-1135 (2020) - [c12]Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara:
Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning. CHIL 2020: 182-192 - [c11]Yijun Tian, Rumi Chunara:
Quasi-Experimental Designs for Assessing Response on Social Media to Policy Changes. ICWSM 2020: 671-682 - [c10]Caitlin Kuhlman, Latifa Jackson, Rumi Chunara:
No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity. KDD 2020: 3593 - [e1]Munmun De Choudhury, Rumi Chunara, Aron Culotta, Brooke Foucault Welles:
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, ICWSM 2020, Held Virtually, Original Venue: Atlanta, Georgia, USA, June 8-11, 2020. AAAI Press 2020, ISBN 978-1-57735-823-7 [contents] - [i15]Caitlin Kuhlman, Latifa Jackson, Rumi Chunara:
No computation without representation: Avoiding data and algorithm biases through diversity. CoRR abs/2002.11836 (2020) - [i14]Yijun Tian, Rumi Chunara:
Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes. CoRR abs/2003.13783 (2020) - [i13]Vishwali Mhasawade, Yuan Zhao, Rumi Chunara:
Machine Learning in Population and Public Health. CoRR abs/2008.07278 (2020) - [i12]Vishwali Mhasawade, Rumi Chunara:
Causal Multi-Level Fairness. CoRR abs/2010.07343 (2020) - [i11]Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR abs/2011.07586 (2020)
2010 – 2019
- 2019
- [j7]Diego Alburez-Gutierrez, Eshwar Chandrasekharan, Rumi Chunara, Sofia Gil-Clavel, Aniko Hannak, Roberto Interdonato, Kenneth Joseph, Kyriaki Kalimeri, Momin M. Malik, Katja Mayer, Yelena Mejova, Daniela Paolotti, Emilio Zagheni:
Reports of the Workshops Held at the 2019 International AAAI Conference on Web and Social Media. AI Mag. 40(4): 78-82 (2019) - [c9]Nabeel Abdur Rehman, Umar Saif, Rumi Chunara:
Deep Landscape Features for Improving Vector-borne Disease Prediction. CVPR Workshops 2019: 44-51 - [c8]Kunal Relia, Zhengyi Li, Stephanie H. Cook, Rumi Chunara:
Race, Ethnicity and National Origin-Based Discrimination in Social Media and Hate Crimes across 100 U.S. Cities. ICWSM 2019: 417-427 - [c7]Mohammad Akbari, Rumi Chunara:
Using Contextual Information to Improve Blood Glucose Prediction. MLHC 2019: 91-108 - [i10]Kunal Relia, Zhengyi Li, Stephanie H. Cook, Rumi Chunara:
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities. CoRR abs/1902.00119 (2019) - [i9]Nabeel Abdur Rehman, Umar Saif, Rumi Chunara:
Deep Landscape Features for Improving Vector-borne Disease Prediction. CoRR abs/1904.01994 (2019) - [i8]Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara:
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning. CoRR abs/1908.09222 (2019) - [i7]Mohammad Akbari, Rumi Chunara:
Using Contextual Information to Improve Blood Glucose Prediction. CoRR abs/1909.01735 (2019) - [i6]Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara:
Fair Predictors under Distribution Shift. CoRR abs/1911.00677 (2019) - 2018
- [j6]Jisun An, Rumi Chunara, David J. Crandall, Darian Frajberg, Megan French, Bernard J. Jansen, Juhi Kulshrestha, Yelena Mejova, Daniel M. Romero, Joni Salminen, Amit Sharma, Amit P. Sheth, Chenhao Tan, Samuel Hardman Taylor, Sanjaya Wijeratne:
Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media. AI Mag. 39(4): 36-44 (2018) - [j5]Shuo Feng, Karen A. Grépin, Rumi Chunara:
Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS. npj Digit. Medicine 1 (2018) - [j4]Kunal Relia, Mohammad Akbari, Dustin Duncan, Rumi Chunara:
Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes. Proc. ACM Hum. Comput. Interact. 2(CSCW): 145:1-145:23 (2018) - [c6]Nabeel Abdur Rehman, Kunal Relia, Rumi Chunara:
Creating full individual-level location timelines from sparse social media data. SIGSPATIAL/GIS 2018: 379-388 - [c5]Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara:
From the User to the Medium: Neural Profiling Across Web Communities. ICWSM 2018: 552-555 - [i5]Kunal Relia, Mohammad Akbari, Dustin Duncan, Rumi Chunara:
Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes. CoRR abs/1803.09002 (2018) - [i4]Nabeel Abdur Rehman, Maxwell Matthaios Aliapoulios, Disha Umarwani, Rumi Chunara:
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts. CoRR abs/1806.08835 (2018) - [i3]Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara:
Population-aware Hierarchical Bayesian Domain Adaptation. CoRR abs/1811.08579 (2018) - [i2]Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara:
From the User to the Medium: Neural Profiling Across Web Communities. CoRR abs/1812.00912 (2018) - 2017
- [j3]Tom Huang, Anas Elghafari, Kunal Relia, Rumi Chunara:
High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data. Proc. ACM Hum. Comput. Interact. 1(CSCW): 54:1-54:26 (2017) - [c4]Rumi Chunara:
New data paradigms: From the crowd and back. IEEE BigData 2017: 3979-3980 - [c3]Jiaxin Liu, Elissa R. Weitzman, Rumi Chunara:
Assessing Behavior Stage Progression From Social Media Data. CSCW 2017: 1320-1333 - [i1]Nabeel Abdur Rehman, Kunal Relia, Rumi Chunara:
Using Sparse Digital Traces to Fill in Individual Level Mobility Timelines. CoRR abs/1710.02475 (2017) - 2016
- [j2]Bisakha Ray, Elodie Ghedin, Rumi Chunara:
Network inference from multimodal data: A review of approaches from infectious disease transmission. J. Biomed. Informatics 64: 44-54 (2016) - 2014
- [c2]Jennifer Goff, Aaron A. Rowe, Rumi Chunara:
First Feasibility of a Surveillance Platform Combining Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing. AMIA 2014 - 2013
- [c1]Michael A. Johansson, Oktawia Wojcik, Rumi Chunara, Mark Smolinski, John S. Brownstein:
Participatory disease surveillance in Latin America. WWW (Companion Volume) 2013: 695-696
2000 – 2009
- 2004
- [j1]Ali Hajimiri, Abbas Komijani, Arun Natarajan, Rumi Chunara, Xiang Guan, Hossein Hashemi:
Phased array systems in silicon. IEEE Commun. Mag. 42(8): 122-130 (2004)
Coauthor Index
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last updated on 2024-08-08 20:14 CEST by the dblp team
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