0 papers in the Machine Learning Evaluation research area.
Discover 2 peer-reviewed studies in Machine Learning Evaluation (2018–2022). Explore research findings powered by Prolific's diverse participant panel.
This page lists 2 peer-reviewed papers in the research area of Machine Learning Evaluation in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
Authors: HP Cowley, M Natter, K Gray-Roncal, RE Rhodes
Year: 2022
Published in: Scientific Reports, 2022 - nature.com
Institution: Johns Hopkins University Applied Physics Laboratory, University of Oxford, Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory, University of Oxford, Johns Hopkins University
Research Area: Human-AI Interaction, Machine Learning Evaluation, AI Evaluation
Discipline: Human-Computer Interaction
DOI: https://doi.org/10.1038/s41598-022-08078-3
Citations: 34
Authors: JW Vaughan
Year: 2018
Published in: Journal of Machine Learning Research, 2018 - jmlr.org
Institution: Microsoft Research
Research Area: Crowdsourcing for Machine Learning Research, including data generation, model evaluation, hybrid intelligence systems, behavioral experiments.
Discipline: Machine Learning
Citations: 264
Related Disciplines: Human-Computer Interaction, Machine Learning
Related Institutions: Johns Hopkins University Applied Physics Laboratory, University of Oxford, Johns Hopkins University, Microsoft Research
Researchers: HP Cowley, M Natter, K Gray-Roncal, RE Rhodes, JW Vaughan
Publication Years: 2022, 2018
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