Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa F. Polania, Marjorie Sayer, Jake Taylor, Claudionor Nunes Coelho. Boosted Embeddings for Time-Series Forecasting. In Giuseppe Nicosia, Varun Ojha 0001, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Volume 13164 of Lecture Notes in Computer Science, pages 1-14, Springer, 2021. [doi]
@inproceedings{KaringulaRTAJST21,
title = {Boosted Embeddings for Time-Series Forecasting},
author = {Sankeerth Rao Karingula and Nandini Ramanan and Rasool Tahmasbi and Mehrnaz Amjadi and Deokwoo Jung and Ricky Si and Charanraj Thimmisetty and Luisa F. Polania and Marjorie Sayer and Jake Taylor and Claudionor Nunes Coelho},
year = {2021},
doi = {10.1007/978-3-030-95470-3_1},
url = {https://doi.org/10.1007/978-3-030-95470-3_1},
researchr = {https://researchr.org/publication/KaringulaRTAJST21},
cites = {0},
citedby = {0},
pages = {1-14},
booktitle = {Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II},
editor = {Giuseppe Nicosia and Varun Ojha 0001 and Emanuele La Malfa and Gabriele La Malfa and Giorgio Jansen and Panos M. Pardalos and Giovanni Giuffrida and Renato Umeton},
volume = {13164},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-95470-3},
}