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Elaine O. Nsoesie
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2020 – today
- 2024
- [j8]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) - 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 2024-06-10 21:23 CEST by the dblp team
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