Adel Daoud

Affilierad docent vid Data Science och AI

Källa: chalmers.se

Kontaktuppgifter

Publikationer (11)
Projekt (0)

Visar 11 publikationer

2024

Increasing the confidence of predictive uncertainty: earth observations and deep learning for poverty estimation

Mohammad Kakooei, Adel Daoud

IEEE Transactions on Geoscience and Remote Sensing. Vol. 62, p. 1-13

Artikel i vetenskaplig tidskrift

2024

Can Large Language Models (or Humans) Disentangle Text?

Nicolas Pietro Marie Audinet De Pieuchon, Adel Daoud, Connor T. Jerzak et al

Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024), p. 57-67

Paper i proceeding

2024

The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low- and middle-income countries

Adel Daoud, Fredrik Johansson

Social Science Research. Vol. 118

Artikel i vetenskaplig tidskrift

2023

Using Satellite Images and Deep Learning to Measure Health and Living Standards in India

Adel Daoud, Felipe Jordán, Makkunda Sharma et al

Social Indicators Research. Vol. 167 (1-3), p. 475-505

Artikel i vetenskaplig tidskrift

2023

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

Markus Pettersson, Mohammad Kakooei, Julia Ortheden et al

IJCAI International Joint Conference on Artificial Intelligence. Vol. 2023-August, p. 6165-6173

Paper i proceeding

2022

IMF fairness: Calibrating the policies of the International Monetary Fund based on distributive justice

Adel Daoud, Anders Herlitz, S. V. Subramanian

World Development. Vol. 157

Artikel i vetenskaplig tidskrift

2022

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

Sourabh Balgi, Jose M. Peña, Adel Daoud

Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022. Vol. 36, p. 11810-11818

Paper i proceeding

2022

Uncovering heterogeneous associations of disaster-related traumatic experiences with subsequent mental health problems: A machine learning approach

Koichiro Shiba, Adel Daoud, Shiho Kino et al

Psychiatry and Clinical Neurosciences. Vol. 76 (4), p. 97-105

Artikel i vetenskaplig tidskrift

2021

Heterogeneity in cognitive disability after a major disaster: A natural experiment study

Koichiro Shiba, Adel Daoud, Hiroyuki Hikichi et al

Science advances. Vol. 7 (40)

Artikel i vetenskaplig tidskrift

2021

Melting together prediction and inference

Adel Daoud, Devdatt Dubhashi

Observational Studies. Vol. 7 (1), p. 1-7

Artikel i vetenskaplig tidskrift

2021

A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects

Shiho Kino, Yu Tien Hsu, Koichiro Shiba et al

SSM - Population Health. Vol. 15

Reviewartikel

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