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Elaine O. Nsoesie
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2020 – today
- 2024
- [j9]Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers, Bart De Moor:
Length of stay prediction for hospital management using domain adaptation. Eng. Appl. Artif. Intell. 133: 108088 (2024) - [j8]Elaine O. Nsoesie, Marzyeh Ghassemi:
Using labels to limit AI misuse in health. Nat. Comput. Sci. 4(9): 638-640 (2024) - 2023
- [i8]Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers, Bart De Moor:
Length of Stay prediction for Hospital Management using Domain Adaptation. CoRR abs/2306.16823 (2023) - 2022
- [j7]Marzyeh Ghassemi, Elaine O. Nsoesie:
In medicine, how do we machine learn anything real? Patterns 3(1): 100392 (2022) - [j6]Mark A. Hernandez, Shagun Modi, Kanisha Mittal, Pallavi Dwivedi, Quynh C. Nguyen, Nina L. Cesare, Elaine O. Nsoesie:
Diet during the COVID-19 pandemic: An analysis of Twitter data. Patterns 3(8): 100547 (2022) - 2021
- [j5]Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez:
Privacy-first health research with federated learning. npj Digit. Medicine 4 (2021) - 2020
- [i7]Adyasha Maharana, Morine Amutorine, Moinina David Sengeh, Elaine O. Nsoesie:
Use of Technology and Innovations in the COVID-19 Pandemic Response in Africa. CoRR abs/2012.07741 (2020)
2010 – 2019
- 2019
- [c5]Mona Jalal, Kaihong Wang, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke:
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. MADiMa @ ACM Multimedia 2019: 50-59 - [c4]Nina L. Cesare, Christan Grant, Elaine O. Nsoesie:
Understanding Demographic Bias and Representation in Social Media Health Data. WebSci (Companion) 2019: 7-9 - [i6]Kaihong Wang, Mona Jalal, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke:
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. CoRR abs/1909.00134 (2019) - 2018
- [c3]Keerti Banweer, Austin Graham, Joe Ripberger, Nina L. Cesare, Elaine O. Nsoesie, Christan Grant:
Multi-stage Collaborative filtering for Tweet Geolocation. LocalRec@SIGSPATIAL 2018: 4:1-4:4 - 2017
- [j4]Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan:
Forecasting rare disease outbreaks from open source indicators. Stat. Anal. Data Min. 10(2): 136-150 (2017) - [i5]Nina L. Cesare, Christan Grant, Elaine O. Nsoesie:
Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices. CoRR abs/1702.01807 (2017) - [i4]Adyasha Maharana, Quynh C. Nguyen, Elaine O. Nsoesie:
Using Deep Learning and Satellite Imagery to Quantify the Impact of the Built Environment on Neighborhood Crime Rates. CoRR abs/1710.05483 (2017) - [i3]Nina L. Cesare, Christan Grant, Jared B. Hawkins, John S. Brownstein, Elaine O. Nsoesie:
Demographics in Social Media Data for Public Health Research: Does it matter? CoRR abs/1710.11048 (2017) - [i2]Adyasha Maharana, Elaine O. Nsoesie:
Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence. CoRR abs/1711.00885 (2017) - 2016
- [i1]Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan:
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR abs/1606.00411 (2016) - 2015
- [j3]Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski:
Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 4(1): 17 (2015) - [j2]Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein:
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. 11(10) (2015) - [c2]Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan:
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. SDM 2015: 379-387 - 2014
- [j1]Patrick Butler, Naren Ramakrishnan, Elaine O. Nsoesie, John S. Brownstein:
Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak? Computer 47(4): 94-97 (2014) - [c1]Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM 2014: 262-270
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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