@ARTICLE{Krawczyńska-Piechna_A._Modelling_2019,
 author={Krawczyńska-Piechna, A.},
 volume={Vol. 65},
 number={No 3},
 journal={Archives of Civil Engineering},
 pages={87-99},
 howpublished={online},
 year={2019},
 publisher={WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES},
 abstract={Construction planning always requires labour productivity estimation. Often, in the case of monolithic construction works, the available catalogues of productivity rates do not provide a reliable assessment. The paper deals with the problem of labour estimation for reinforcement works. An appropriate model of labour prediction problem is being introduced. It includes, between others, staff experience and reinforcement buildability. In the paper it is proposed, that labour requirements can be estimated with aggregated classifiers. The work is a continuation of earlier studies, in which the possibility of using classifier ensembles to predict productivity in monolithic works was investigated.},
 type={Article},
 title={Modelling labour productivity rates for reinforcement works},
 URL={http://ochroma.man.poznan.pl/Content/115680/PDF-MASTER/07_ace-2019-0036.pdf},
 keywords={reinforcement works, buildability, labour estimation, decision trees, classifier ensembles},
}