Searched for: subject%3A%22methodology%22
(1 - 2 of 2)
document
Samiotis, I.P. (author), Qiu, S. (author), Mauri, A. (author), Liem, C.C.S. (author), Lofi, C. (author), Bozzon, A. (author)
Human annotation is still an essential part of modern transcription workflows for digitizing music scores, either as a standalone approach where a single expert annotator transcribes a complete score, or for supporting an automated Optical Music Recognition (OMR) system. Research on human computation has shown the effectiveness of crowdsourcing...
conference paper 2020
document
Liem, C.C.S. (author), Langer, Markus (author), Demetriou, A.M. (author), Hiemstra, Annemarie M.F. (author), Achmadnoer Sukma Wicaksana, Sukma (author), Born, Marise Ph. (author), König, Cornelis J. (author)
In a rapidly digitizing world, machine learning algorithms are increasingly employed in scenarios that directly impact humans. This also is seen in job candidate screening. Data-driven candidate assessment is gaining interest, due to high scalability and more systematic assessment mechanisms. However, it will only be truly accepted and trusted...
book chapter 2018