首页|University College Dublin Reports Findings in Machine Learning (AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors)
University College Dublin Reports Findings in Machine Learning (AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Dublin, Irel and, by NewsRx correspondents, research stated, “Automated machine learning (Aut oML) solutions can bridge the gap between new computational advances and their r eal-world applications by enabling experimental scientists to build their own cu stom models. We examine different steps in the development life-cycle of peptide bioactivity binary predictors and identify key steps where automation cannot on ly result in a more accessible method, but also more robust and interpretable ev aluation leading to more trustworthy models.” Financial supporters for this research include Science Foundation Ireland, Europ ean Union’s Horizon 2020 research and innovation programme.
DublinIrelandEuropeCyborgsEmergi ng TechnologiesMachine Learning
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