Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01890-0
Abstract: In order to manufacture products at low cost, machine learning (ML) is increasingly used in production, especially in high wage countries. Therefore, we introduce our PREFERML AutoML system, which is adapted to the production environment.… read more here.
Keywords: automl; cost; algorithms error; prediction manufacturing ... See more keywords
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
Sign Up to like & getrecommendations! Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2020.101822
Abstract: OBJECTIVE This work aims to provide a review of the existing literature in the field of automated machine learning (AutoML) to help healthcare professionals better utilize machine learning models "off-the-shelf" with limited data science expertise.… read more here.
Keywords: machine; automl; machine learning; field ... See more keywords
Automating water quality analysis using ML and auto ML techniques.
Sign Up to like & getrecommendations! Published in 2021 at "Environmental research"
DOI: 10.1016/j.envres.2021.111720
Abstract: Generation of unprocessed effluents, municipal refuse, factory wastes, junking of compostable and non-compostable effluents has hugely contaminated nature-provided water bodies like rivers, lakes and ponds. Therefore, there is a necessity to look into the water… read more here.
Keywords: automl; machine learning; water; automating water ... See more keywords