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Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction.

, , , , , и . CoRR, (2023)

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Keiko Sakahara

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Keiko Yamane

 

Другие публикации лиц с тем же именем

Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network., , , , , и . CoRR, (2020)Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction., , , , , и . IJCAI, стр. 4541-4547. ijcai.org, (2020)Special Track on AI in FinTech.ASAT: Adaptively scaled adversarial training in time series., , , , , и . Neurocomputing, (2023)Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling., , , , , и . IJCAI, стр. 3764-3770. ijcai.org, (2021)Stock Trading Volume Prediction with Dual-Process Meta-Learning., , , , , и . ECML/PKDD (6), том 13718 из Lecture Notes in Computer Science, стр. 137-153. Springer, (2022)Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction., , , , , и . CoRR, (2019)Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction., , , , и . ECML/PKDD (6), том 13718 из Lecture Notes in Computer Science, стр. 105-120. Springer, (2022)ASAT: Adaptively Scaled Adversarial Training in Time Series., , , , , и . CoRR, (2021)Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction., , , , , и . CoRR, (2023)Incorporating Fine-grained Events in Stock Movement Prediction., , , , , и . CoRR, (2019)