Saad Mohammad Abrar
Orcid: 0000-0002-3037-0016
According to our database1,
Saad Mohammad Abrar
authored at least 10 papers
between 2020 and 2024.
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Bibliography
2024
Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models.
CoRR, 2024
COVID-19's Unequal Toll: An assessment of small business impact disparities with respect to ethnorace in metropolitan areas in the US using mobility data.
CoRR, 2024
Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models.
CoRR, 2024
2023
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches.
Comput. Environ. Urban Syst., June, 2023
The BALTO Toolkit - A New Approach to Ethical and Sustainable Data Collection for Equitable Public Transit.
Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2023
2022
Enhancing short-term crime prediction with human mobility flows and deep learning architectures.
EPJ Data Sci., 2022
2021
Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses.
J. Biomed. Informatics, 2021
2020
Text Mining to Identify and Extract Novel Disease Treatments From Unstructured Datasets.
CoRR, 2020