Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling.
Sungchul Hong|Seunghwan An|Jong-June Jeon
| Anthology ID: | DBLP:conf/cikm/HongAJ24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4530-4537 |
| URL: | https://doi.org/10.1145/3627673.3680027 |
| DOI: | https://doi.org/10.1145/3627673.3680027 |
| DBLP: | conf/cikm/HongAJ24 |
| BibTeX: |
@inproceedings{hong-2024-cryptocurrency,
author = {Sungchul Hong and
Seunghwan An and
Jong-June Jeon},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Cryptocurrency Price Forecasting using Variational Autoencoder with Versatile Quantile Modeling}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4530--4537},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680027},
doi = {https://doi.org/10.1145/3627673.3680027}
}