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Saba Esnaashari
Saba Esnaashari
The Alan Turing Institute
Bestätigte E-Mail-Adresse bei turing.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
A multidomain relational framework to guide institutional AI research and adoption
VJ Straub, D Morgan, Y Hashem, J Francis, S Esnaashari, J Bright
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 512-519, 2023
62023
Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments
J Francis, J Bright, S Esnaashari, Y Hashem, D Morgan, VJ Straub
Scientific Reports 13 (1), 10922, 2023
52023
AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions
VJ Straub, Y Hashem, J Bright, S Bhagwanani, D Morgan, J Francis, ...
arXiv preprint arXiv:2403.14712, 2024
12024
Generative AI is already widespread in the public sector
J Bright, FE Enock, S Esnaashari, J Francis, Y Hashem, D Morgan
arXiv preprint arXiv:2401.01291, 2024
12024
Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review
S Esnaashari, J Bright, J Francis, Y Hashem, V Straub, D Morgan
arXiv preprint arXiv:2310.06475, 2023
2023
Unsupervised feature extraction and clustering of aerial images for understanding hazardous road segments
J Francis, J Bright, S Esnaashari, Y Hashem, D Morgan, VJ Straub
2023
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