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On the limits of algorithmic prediction across the globe

On the limits of algorithmic prediction across the globe

28 March 2021
Xingyu Li
Difan Song
Miaozhe Han
Yu Zhang
René F. Kizilcec
ArXiv (abs)PDFHTML

Papers citing "On the limits of algorithmic prediction across the globe"

2 / 2 papers shown
Advancing Pavement Distress Detection in Developing Countries: A Novel
  Deep Learning Approach with Locally-Collected Datasets
Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets
Blessing Agyei Kyem
Eugene Kofi Okrah Denteh
Joshua Kofi Asamoah
Kenneth A. Tutu
Armstrong Aboah
213
9
0
10 Aug 2024
Cross-Institutional Transfer Learning for Educational Models:
  Implications for Model Performance, Fairness, and Equity
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and EquityConference on Fairness, Accountability and Transparency (FAccT), 2023
Joshua Gardner
Renzhe Yu
Quan Nguyen
Christopher A. Brooks
René F. Kizilcec
FedML
241
24
0
01 May 2023
1
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