@inproceedings{ab2107037c2e49b2b883a20101950be4,
title = "Arbitrated Ensemble for Time Series Forecasting",
author = "V{\'i}tor Cerqueira and Lu{\'i}s Torgo and F{\'a}bio Pinto and Carlos Soares",
note = "Funding Information: Acknowledgements. This work is financed by the ERDF - European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme within project POCI-01-0145-FEDER-006961, and by National Funds through the FCT - Funda¸c{\~a}o para a Ci{\^e}ncia e a Tecnologia (Portuguese Foundation for Science and Technology) as part of project UID/EEA/50014/2013; Project “NORTE-01-0145-FEDER-000036” is financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). This work was partly funded by the ECSEL Joint Undertaking, program for research and innovation horizon 2020 (20142020) under grant agreement number 662189-MANTIS-2014-1. Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2017 ; Conference date: 18-09-2017 Through 22-09-2017",
year = "2017",
doi = "10.1007/978-3-319-71246-8_29",
language = "English",
isbn = "9783319712451",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "478--494",
editor = "Michelangelo Ceci and Jaakko Hollmen and Ljupco Todorovski and Celine Vens and Saso Dzeroski",
booktitle = "Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings",
address = "Germany",
}