Adel Daoud

According to our database, Adel Daoud authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Increasing the Confidence of Predictive Uncertainty: Earth Observations and Deep Learning for Poverty Estimation.

Mohammad Kakooei, Adel Daoud

IEEE Trans. Geosci. Remote. Sens., 2024

Planetary Causal Inference: Implications for the Geography of Poverty.

Kazuki Sakamoto, Connor T. Jerzak, Adel Daoud

CoRR, 2024

Can Large Language Models (or Humans) Distill Text?

Nicolas Audinet de Pieuchon, Adel Daoud, Connor Thomas Jerzak, Moa Johansson, Richard Johansson

CoRR, 2024

Deep Learning With DAGs.

Sourabh Balgi, Adel Daoud, José M. Peña, Geoffrey T. Wodtke, Jesse Zhou

CoRR, 2024

2023

CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images.

Connor T. Jerzak, Adel Daoud

CoRR, 2023

Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities.

Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud

CoRR, 2023

Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa.

Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Image-based Treatment Effect Heterogeneity.

Connor Thomas Jerzak, Fredrik Daniel Johansson, Adel Daoud

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Eliminating Selective Dropping Attack in Mobile Ad Hoc Network.

Mahdi Bounouni, Louiza Bouallouche-Medjkoune, Abderrahmane Beraza, Adel Daoud

Wirel. Pers. Commun., 2022

ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders.

Sourabh Balgi, José M. Peña, Adel Daoud

CoRR, 2022

Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa.

Connor T. Jerzak, Fredrik Johansson, Adel Daoud

CoRR, 2022

Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows.

Sourabh Balgi, Jose M. Peña, Adel Daoud

CoRR, 2022

Using satellites and artificial intelligence to measure health and material-living standards in India.

Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee

CoRR, 2022

Conceptualizing Treatment Leakage in Text-based Causal Inference.

Adel Daoud, Connor T. Jerzak, Richard Johansson

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows.

Sourabh Balgi, José M. Peña, Adel Daoud

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Statistical modeling: the three cultures.

Adel Daoud, Devdatt P. Dubhashi

CoRR, 2020

Combining distributive ethics and causal Inference to make trade-offs between austerity and population health.

Adel Daoud, Anders Herlitz, S. V. Subramanian

CoRR, 2020

2019

Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements.

Joakim Åkerström, Adel Daoud, Richard Johansson

Proceedings of the 22nd Nordic Conference on Computational Linguistics, NoDaLiDa 2019, Turku, Finland, September 30, 2019