2 code implementations • 30 Jan 2023 • Connor T. Jerzak, Fredrik Johansson, Adel Daoud
Via simulation, we also explore the sensitivity of satellite image-based observational inference to image resolution and to misspecification of the image-associated confounder.
1 code implementation • 13 Jun 2022 • Connor T. Jerzak, Fredrik Johansson, Adel Daoud
Randomized controlled trials (RCTs) are considered the gold standard for estimating the average treatment effect (ATE) of interventions.
1 code implementation • 13 Jun 2022 • Connor T. Jerzak, Fredrik Johansson, Adel Daoud
Observational studies of causal effects require adjustment for confounding factors.
no code implementations • 27 Dec 2021 • Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik Johansson, Devdatt Dubhashi, Sourabh Paul, Subhashis Banerjee
In this paper, we use deep learning to estimate living conditions in India.
no code implementations • SEMEVAL 2019 • Tim Isbister, Fredrik Johansson
In a world of information operations, influence campaigns, and fake news, classification of news articles as following hyperpartisan argumentation or not is becoming increasingly important.
no code implementations • 31 May 2018 • Omer Gottesman, Fredrik Johansson, Joshua Meier, Jack Dent, Dong-hun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, Finale Doshi-Velez
Much attention has been devoted recently to the development of machine learning algorithms with the goal of improving treatment policies in healthcare.