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ORCIDAdel Daoud
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2020 – today
- 2024
[j2]Mohammad Kakooei
, Adel Daoud:
Increasing the Confidence of Predictive Uncertainty: Earth Observations and Deep Learning for Poverty Estimation. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024)- [i14]Sourabh Balgi, Adel Daoud, José M. Peña, Geoffrey T. Wodtke, Jesse Zhou:
Deep Learning With DAGs. CoRR abs/2401.06864 (2024) - [i13]Nicolas Audinet de Pieuchon, Adel Daoud, Connor Thomas Jerzak, Moa Johansson, Richard Johansson:
Can Large Language Models (or Humans) Distill Text? CoRR abs/2403.16584 (2024) - [i12]Kazuki Sakamoto, Connor T. Jerzak, Adel Daoud:
Planetary Causal Inference: Implications for the Geography of Poverty. CoRR abs/2406.02584 (2024) - 2023
- [c5]Connor Thomas Jerzak, Fredrik Daniel Johansson, Adel Daoud:
Image-based Treatment Effect Heterogeneity. CLeaR 2023: 531-552 - [c4]Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud:
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. IJCAI 2023: 6165-6173 - [i11]Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud:
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities. CoRR abs/2301.12985 (2023) - [i10]Connor T. Jerzak, Adel Daoud:
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images. CoRR abs/2310.00233 (2023) - 2022
- [j1]Mahdi Bounouni, Louiza Bouallouche-Medjkoune, Abderrahmane Beraza, Adel Daoud:
Eliminating Selective Dropping Attack in Mobile Ad Hoc Network. Wirel. Pers. Commun. 123(4): 3291-3308 (2022) - [c3]Sourabh Balgi, José M. Peña, Adel Daoud:
Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows. AAAI 2022: 11810-11818 - [c2]Adel Daoud, Connor T. Jerzak, Richard Johansson:
Conceptualizing Treatment Leakage in Text-based Causal Inference. NAACL-HLT 2022: 5638-5645 - [i9]Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee:
Using satellites and artificial intelligence to measure health and material-living standards in India. CoRR abs/2202.00109 (2022) - [i8]Sourabh Balgi, Jose M. Peña, Adel Daoud:
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows. CoRR abs/2202.03281 (2022) - [i7]Sourabh Balgi, Jose M. Peña, Adel Daoud:
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows. CoRR abs/2202.09391 (2022) - [i6]Adel Daoud, Connor T. Jerzak, Richard Johansson:
Conceptualizing Treatment Leakage in Text-based Causal Inference. CoRR abs/2205.00465 (2022) - [i5]Connor T. Jerzak, Fredrik Johansson, Adel Daoud:
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa. CoRR abs/2206.06410 (2022) - [i4]Connor T. Jerzak, Fredrik Johansson, Adel Daoud:
Image-based Treatment Effect Heterogeneity. CoRR abs/2206.06417 (2022) - [i3]Sourabh Balgi, José M. Peña, Adel Daoud:
ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders. CoRR abs/2209.07111 (2022) - 2020
- [i2]Adel Daoud, Anders Herlitz, S. V. Subramanian:
Combining distributive ethics and causal Inference to make trade-offs between austerity and population health. CoRR abs/2007.15550 (2020) - [i1]Adel Daoud, Devdatt P. Dubhashi:
Statistical modeling: the three cultures. CoRR abs/2012.04570 (2020)
2010 – 2019
- 2019
- [c1]Joakim Åkerström, Adel Daoud, Richard Johansson:
Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements. NODALIDA 2019: 316-320
Coauthor Index
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