%0 Journal Article %1 journals/eaai/PangWLFL23 %A Pang, Bowen %A Wei, Wei %A Li, Xing %A Feng, Xiangnan %A Li, Chao %D 2023 %J Eng. Appl. Artif. Intell. %K dblp %P 106849 %T A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding. %U http://dblp.uni-trier.de/db/journals/eaai/eaai126.html#PangWLFL23 %V 126

@article{journals/eaai/PangWLFL23, added-at = {2024-04-28T00:00:00.000+0200}, author = {Pang, Bowen and Wei, Wei and Li, Xing and Feng, Xiangnan and Li, Chao}, biburl = {https://www.bibsonomy.org/bibtex/26a700dd419ab8d9b91b4a42e315d040e/dblp}, ee = {https://doi.org/10.1016/j.engappai.2023.106849}, interhash = {212dbab5dd4616156a8cbfd9642e6401}, intrahash = {6a700dd419ab8d9b91b4a42e315d040e}, journal = {Eng. Appl. Artif. Intell.}, keywords = {dblp}, month = {November}, pages = 106849, timestamp = {2024-05-06T07:12:06.000+0200}, title = {A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding.}, url = {http://dblp.uni-trier.de/db/journals/eaai/eaai126.html#PangWLFL23}, volume = 126, year = 2023 }