Keiko Harimoto

According to our database1, Keiko Harimoto authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM.
CoRR, 2024

2023
ASAT: Adaptively scaled adversarial training in time series.
Neurocomputing, 2023

Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction.
CoRR, 2023

2022
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Stock Trading Volume Prediction with Dual-Process Meta-Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.
CoRR, 2021

ASAT: Adaptively Scaled Adversarial Training in Time Series.
CoRR, 2021

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network.
CoRR, 2020

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Incorporating Fine-grained Events in Stock Movement Prediction.
CoRR, 2019

Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.
CoRR, 2019


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