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20132021
most citedMachine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

17 citations · 62 across the 8 of their papers we have counts for

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stat.ML2017★ 12 cited

Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes

Franz J. Király, Zhaozhi Qian

Prediction and modelling of competitive sports outcomes has received much recent attention, especially from the Bayesian statistics and machine learning communities. In the real wo…

stat.ML2013

Obtaining error-minimizing estimates and universal entry-wise error bounds for low-rank matrix completion

Franz J. Király, Louis Theran

We propose a general framework for reconstructing and denoising single entries of incomplete and noisy entries. We describe: effective algorithms for deciding if and entry can be r…