Elaine O. Nsoesie

24 papers A* 1A 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Content Exposure: Systemic Factors Driving Moderators' Mental Health Crisis in Africa. CHI Nuredin Ali Abdelkadir, Tianling Yang, Shivani Kapania, Kauna Ibrahim Malgwi, Fasica Berhane Gebrekidan, Adio-Adet Dinika, Elaine O. Nsoesie, Milagros Miceli, Stevie Chancellor
2025	J	`jnl`	Global Health in the Age of AI: Charting a Course for Ethical Implementation and Societal Benefit. Minds Mach. Jessica Morley, Emmie Hine, Huw Roberts, Renee Sirbu, Hutan Ashrafian, Charlotte Blease, Marisha Boyd, John L. Chen, Alexandre Chiavegatto Filho, Enrico W. Coiera, Glenn I. Cohen, Amelia Fiske, Nandini Jayakumar, Angeliki Kerasidou, Federica Mandreoli, Melissa D. McCradden, Stella Namuganza, Elaine O. Nsoesie, Ravi B. Parikh, Sandeep Reddy, Jana Sedlakova, Tamara Sunbul, Sophie van Baalen, Hannah van Kolfschooten, Luciano Floridi
2024	J	`jnl`	Length of stay prediction for hospital management using domain adaptation. Eng. Appl. Artif. Intell. Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers, Bart De Moor
2024	J	`jnl`	Using labels to limit AI misuse in health. Nat. Comput. Sci. Elaine O. Nsoesie, Marzyeh Ghassemi
2023	J	`jnl`	Length of Stay prediction for Hospital Management using Domain Adaptation. CoRR Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers, Bart De Moor
2022	J	`jnl`	Diet during the COVID-19 pandemic: An analysis of Twitter data. Patterns Mark A. Hernandez, Shagun Modi, Kanisha Mittal, Pallavi Dwivedi, Quynh C. Nguyen, Nina L. Cesare, Elaine O. Nsoesie
2022	J	`jnl`	In medicine, how do we machine learn anything real? Patterns Marzyeh Ghassemi, Elaine O. Nsoesie
2021	J	`jnl`	Privacy-first health research with federated learning. npj Digit. Medicine 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
2020	J	`jnl`	Use of Technology and Innovations in the COVID-19 Pandemic Response in Africa. CoRR Adyasha Maharana, Morine Amutorine, Moinina David Sengeh, Elaine O. Nsoesie
2019	—	`conf`	Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. MADiMa @ ACM Multimedia Mona Jalal, Kaihong Wang, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke
2019	J	`jnl`	Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. CoRR Kaihong Wang, Mona Jalal, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke
2019	—	`conf`	Understanding Demographic Bias and Representation in Social Media Health Data. WebSci (Companion) Nina L. Cesare, Christan Grant, Elaine O. Nsoesie
2018	—	`conf`	Multi-stage Collaborative filtering for Tweet Geolocation. LocalRec@SIGSPATIAL Keerti Banweer, Austin Graham, Joe Ripberger, Nina L. Cesare, Elaine O. Nsoesie, Christan Grant
2017	J	`jnl`	Demographics in Social Media Data for Public Health Research: Does it matter? CoRR Nina L. Cesare, Christan Grant, Jared B. Hawkins, John S. Brownstein, Elaine O. Nsoesie
2017	J	`jnl`	Detection of User Demographics on Social Media: A Review of Methods and Recommendations for Best Practices. CoRR Nina L. Cesare, Christan Grant, Elaine O. Nsoesie
2017	J	`jnl`	Forecasting rare disease outbreaks from open source indicators. Stat. Anal. Data Min. Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
2017	J	`jnl`	Using Deep Learning and Satellite Imagery to Quantify the Impact of the Built Environment on Neighborhood Crime Rates. CoRR Adyasha Maharana, Quynh C. Nguyen, Elaine O. Nsoesie
2017	J	`jnl`	Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence. CoRR Adyasha Maharana, Elaine O. Nsoesie
2016	J	`jnl`	Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. CoRR Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan
2015	J	`jnl`	Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein
2015	J	`jnl`	Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren A. 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
2015	A	`conf`	SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. SDM Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
2014	A	`conf`	Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. SDM 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
2014	J	`jnl`	Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak? Computer Patrick Butler, Naren Ramakrishnan, Elaine O. Nsoesie, John S. Brownstein