885 citations · 3.3k across the 27 of their papers we have counts for
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cs.AI2023★ 1 cited
Competitions in AI -- Robustly Ranking Solvers Using Statistical Resampling
Chris Fawcett, Mauro Vallati, Holger H. Hoos +1
Solver competitions play a prominent role in assessing and advancing the state of the art for solving many problems in AI and beyond. Notably, in many areas of AI, competitions hav…
cs.LG2023★ 1 cited
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
Lennart Purucker, Lennart Schneider, Marie Anastacio +3
Automated machine learning (AutoML) systems commonly ensemble models post hoc to improve predictive performance, typically via greedy ensemble selection (GES). However, we believe…