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} }