Ioannis Pierros, Ioannis P. Vlahavas. Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting. In Elias Pimenidis, Plamen P. Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin 0001, editors, Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III. Volume 13531 of Lecture Notes in Computer Science, pages 556-568, Springer, 2022. [doi]
@inproceedings{PierrosV22,
title = {Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting},
author = {Ioannis Pierros and Ioannis P. Vlahavas},
year = {2022},
doi = {10.1007/978-3-031-15934-3_46},
url = {https://doi.org/10.1007/978-3-031-15934-3_46},
researchr = {https://researchr.org/publication/PierrosV22},
cites = {0},
citedby = {0},
pages = {556-568},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III},
editor = {Elias Pimenidis and Plamen P. Angelov and Chrisina Jayne and Antonios Papaleonidas and Mehmet Aydin 0001},
volume = {13531},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-15934-3},
}