Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi. Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. In Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Volume 14173 of Lecture Notes in Computer Science, pages 139-155, Springer, 2023. [doi]
@inproceedings{ParkLCSKCC23,
title = {Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density},
author = {Junwoo Park and Jungsoo Lee and Youngin Cho and Woncheol Shin and Dongmin Kim and Jaegul Choo and Edward Choi},
year = {2023},
doi = {10.1007/978-3-031-43424-2_9},
url = {https://doi.org/10.1007/978-3-031-43424-2_9},
researchr = {https://researchr.org/publication/ParkLCSKCC23},
cites = {0},
citedby = {0},
pages = {139-155},
booktitle = {Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V},
editor = {Danai Koutra and Claudia Plant and Manuel Gomez-Rodriguez and Elena Baralis and Francesco Bonchi},
volume = {14173},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-43424-2},
}