Cited By
View all- Duarte FFröding B(2022)Watch out! Cities as data enginesAI & Society10.1007/s00146-022-01448-538:3(1249-1250)Online publication date: 19-May-2022
We consider the problem of forecasting fine-grained company financials, such as daily revenue, from two input types: noisy proxy signals a la alternative data (e.g. credit card transactions) and sparse ground-truth observations (e.g. quarterly earnings ...
We consider the question of identifying which set of products are purchased and at what prices in a given transaction by observing only the total amount spent in the transaction, and nothing more. The ability to solve such an inverse problem can lead to ...
We consider the question of identifying which set of products are purchased and at what prices in a given transaction by observing only the total amount spent in the transaction, and nothing more. The ability to solve such an inverse problem can lead to ...
Association for Computing Machinery
New York, NY, United States
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