Articles in Peer-Reviewed Journals
2023
Connor T. Jerzak, Fredrik Johansson, Adel Daoud. Image-based Treatment Effect Heterogeneity. Forthcoming in Proceedings of the Second Conference on Causal Learning and Reasoning (CLeaR), Proceedings of Machine Learning Research (PMLR), 2023 https://arxiv.org/abs/2301.12985
Daoud, Adel, and Devdatt Dubhashi, ‘Statistical Modeling: The Three Cultures,’ Harvard Data Science Review. Vol 5, Issue 1 https://doi.org/10.1162/99608f92.89f6fe66
Connor T. Jerzak, Fredrik Johansson, Adel Daoud. Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities. arXiv:2301.12985. https://arxiv.org/abs/2301.12985
2022
Adel Daoud, Anders Herlitz, S.V. Subramanian, IMF fairness: Calibrating the policies of the International Monetary Fund based on distributive justice, World Development,
Volume 157, 2022, 105924, ISSN 0305-750X, https://doi.org/10.1016/j.worlddev.2022.105924
Daoud, Adel,Connor Jerzak, and Richard Johansson, Conceptualizing Treatment Leakage in Text-based Causal Inference, North American Chapter of the Association for Computational Linguistics (NAACL). https://aclanthology.org/2022.naacl-main.413/
Balgi, S., Peña, J. M., & Daoud, A. (2022). Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 11810-11818. https://doi.org/10.1609/aaai.v36i11.21437
Koichiro Shiba, Hiroyuki Hikichi, Sakurako S. Okuzono,Tyler J. VanderWeele, Mariana Arcaya, Adel Daoud, Richard G. Cowden,Aki Yazawa, David T. Zhu, Jun Aida, Katsunori Kondo,and Ichiro Kawachi. 2022.Long-Term Associations between Disaster-Related Home Loss and Health and Well-Being of Older Survivors: Nine Years after the 2011 Great East Japan Earthquake and Tsunami. Environmental Health Perspectives 130:7 CID: 077001 https://doi.org/10.1289/EHP10903
Connor T. Jerzak, Fredrik Johansson, Adel Daoud. 2022. Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa. arXiv:2206.06410 cs.LG. https://doi.org/10.48550/arXiv.2206.06410
2021
Koichiro Shiba, Adel Daoud, Hiroyuki Hikichi, Aki Yazawa, Jun Aida, Katsunori Kondo, Ichiro Kawachi, Heterogeneity in cognitive decline after a major disaster: a natural experiment study, Science Advances. DOI: 10.1126/sciadv.abj2610
Kino, Shiho, Yu-Tien, Koichiro Shiba, Ichiro Kawachi, and Adel Daoud, A scoping review on the use of machine learning in the research on the social determinants of health: trends and research prospects, Social Science &Medicine – Population Health. https://doi.org/10.1016/j.ssmph.2021.100836
Koichiro Shibaa, Jacqueline M. Torresc, Adel Daoud, Kosuke Inoue; Satoru Kanamori; Taishi Tsuji; Masamitsu Kamada, Katsunori Kondo, and Ichiro Kawachi, Estimating the impact of sustained social participation on depressive symptoms in older adults, Epidemiology DOI: 10.1097/EDE.0000000000001395
Kakooei, Mohammad, Yasser Baleghi, and Meisam Amani. Adaptive thresholding for detecting building facades with or without openings in single-view oblique remote sensing images. Journal of Applied Remote Sensing, 15, no. 3, 036511.
Amani, Meisam, Sahel Mahdavi, Mohammad Kakooei, Arsalan Ghorbanian, Brian Brisco, Evan Delancey, Souleymane Toure, and Eugenio Landeiro Reyes. "Wetland Change Analysis in Alberta, Canada using Four Decades of Landsat Imagery." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
2020
Kakooei, Mohammad, and Yasser Baleghi. "A Two-level Fusion for Building Irregularity Detection in Post-Disaster VHR Oblique Images." Earth Science Informatics. Abstract
Kakooei, Mohammad, and Yasser Baleghi. "Shadow detection in very high resolution RGB images using a special thresholding on a new spectral–spatial index." Journal of Applied Remote Sensing 14, no. 1.
Kakooei, Mohammad, and Yasser Baleghi. "VHR Semantic Labelling by Random Forest Classification and Fusion of Spectral and Spatial Features on Google Earth Engine." Journal of AI and Data Mining.
Amani, Meisam, Mohammad Kakooei, Armin Moghimi, Arsalan Ghorbanian, Babak Ranjgar, Sahel Mahdavi, Andrew Davidson, Thierry Fisette, Patrick Rollin, Brian Brisco, "Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada." Remote Sensing.
Amani, Meisam, Brian Brisco, Sahel Mahdavi, Arsalan Ghorbanian, Armin Moghimi, Evan DeLancey, Michael Merchant, Raymond Jahncke, Lee Fedorchuk, Amy Mui, Marcelle Grenier, Thierry Fisette, Mohammad Kakooei, Seyed Ali Ahmadi, Brigitte Leblon, Amir Behnamian, "Evaluation of the First Canadian Wetland Inventory Map using Multiple Sources: Challenges of Wetland Classification using Remote Sensing." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Amani, Meisam, Arsalan Ghorbanian, Ali Ahmadi, Mohammad Kakooei, Armin Moghimi, S. Mohammad Mirmazloumi, Sayyed Hamed Alizadeh Moghaddam, Sahel Mahdavi, Masoud Ghahramanloo, Saeid Parsian, Qiusheng Wu, Brian Brisco, "Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Literature Review” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Ghorbanian, Arsalan, Mohammad kakooei, Meisam Amani, Sahel Mahdavi, Ali Mohammadzadeh, Mahdi Hasanlou. "Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples." ISPRS Journal of Photogrammetry and Remote Sensing.
2019
Daoud, Adel, Rockli Kim, and S V Subramanian, Evaluating the predictive power of socioeconomic factors in capturing women’s height in 58 low- and middle-income countries: a machine learning approach, Social Science & Medicine, 238 (2019) 112486.
Daoud, Adel and Nandy, Shailen, Implications of the politics of caste and class on child poverty in India, Sociology of Development, Vol. 5, Number 4, pp 428-451, DOI: doi.org/10.1525/sod.2019.5.4.428
Daoud, Adel, Bernhard Reinsberg, Alexander Kentikelenis, Thomas Stubbs, Lawrence King. The International Monetary Fund’s Interventions in Food and Agriculture: An Analysis of Loans and Conditions. Food Policy, Vol 83, pp 204-218. https://doi.org/10.1016/j.foodpol.2019.01.005
Kraamwinkel, N., Ekbrand, H., Davia, S., Daoud, A., The influence of maternal agency on child well-being in conflict-ridden Nigeria: modelling heterogeneous treatment effects with machine learning. PLoS ONE: http://doi.org/10.1371/journal.pone.0208937. (Special issue on machine learning in health and biomedicine).
Kakooei, Mohammad, and Amir Tabatabaei. "A Fast Parallel GPS Acquisition Algorithm Based on Hybrid GPU and Multi-core CPU." Wireless Personal Communications 104, no. 4, pp. 1355-1366. Abstract
2018
Daoud, Adel, and Bernhard Reinsberg, Structural adjustment, state capacity, and child health: Evidence from IMF programs, International Journal of Epidemiology, Volume 48, Issue 2, Pages 445–454. https://doi.org/10.1093/ije/dyy251
Computer Science Peer-Reviewed Conferences
2022
Balgi, Sourabh, Adel Daoud, and Jose Pena, Personalized Public Policy Analysis In Social Sciences Using Causal-Graphical Normalizing Flows, AI for Social Impact Track in Thirty-Sixth AAAI Conference on Artificial Intelligence (Association for the Advancement of Artificial Intelligence).
2019
Joakim Åkerström, Adel Daoud, and Richard Johansson, Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements, Published in the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19)
Kakooei, Mohammad, and Yasser Baleghi. "Spectral Unmixing of Time Series Data to Provide Initial Object Seeds for Change Detection on Google Earth Engine." In 2019 27th Iranian Conference on Electrical Engineering (ICEE), pp. 1402-1407. IEEE. Abstract
Ban, Yifang, Andrea Nascetti, and Mohammad Kakooei. Sentinel-1 SAR and Sentinel-2 MSI Dense Time Series for Urban Extraction in Support of Urban Sustainable Development Goal, Dragon 4 Symposium.
2018
Kakooei, Mohammad, and Yasser Baleghi. "Leaf-Less-Tree feature for semantic labeling applications on Google Earth Engine." In 2018 9th International Symposium on Telecommunications (IST), pp. 609-613. IEEE. Abstract
Kakooei, Mohammad, Andrea Nascetti, and Yifang Ban. "Sentinel-1 Global Coverage Foreshortening Mask Extraction: An Open Source Implementation Based on Google Earth Engine." In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 6836-6839. IEEE. Abstract
Nascetti, Andrea, Mohammad Kakooei, and Yifang Ban. “Urban Extraction Using Sentinel-1 and Sentinel-2 Dense Time Series with Google Earth Engine.” In 2nd mapping urban areas from space, ESA,. Abstract
2014
Kakooei, Mohammad, and Hadi Shahriar Shahhoseini. "A parallel k-means clustering initial center selection and dynamic center correction on GPU." In 2014 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 20-25. IEEE, 2014. Abstract
Zeinali, Behnam, Ahmad Ayatollahi, and Mohammad Kakooei. "A novel method of applying directional filter bank (DFB) for finger-knuckle-print (FKP) recognition." In 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 500-504. IEEE, 2014. Abstract
Other publications (selected)
Kakooei, Mohammad, Arsalan Ghorbanian, Yasser Baleghi, Meisam Amani, and Andrea Nascetti. "Remote Sensing Technology for Post-Disaster Building Damage Assessment." In Computers in Earth and Environmental Sciences, Elsevier. Link
Daoud, Adel, and Devdatt Dubhashi, “Melting together prediction and inference”, Observational Studies, Volume 7, issue 1, Commentary.