Predicting Stock Trends Based on Expert Recommendations Using GRU/LSTM Neural Networks
By Przemysław Buczkowski. 2017
13 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Reinforcement Learning, Recommender Systems, Signal Processing, Time-Series & Forecasting
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- M. Ugur Gudelek
- Omer Berat Sezer
- A. Ozbayoglu
- Ze Hu
- Matloob Khushi
- Yiqi Zhao
- Weiwei Jiang
- Longbing Cao
In Reinforcement Learning
In Recommender Systems
In Signal Processing
In Time-Series & Forecasting
- M. Ugur Gudelek
- Omer Berat Sezer
- A. Ozbayoglu
- Ze Hu
- Matloob Khushi
- Yiqi Zhao
- Weiwei Jiang
- Longbing Cao
Citations in the corpus
- Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “[218] ISMIS 2017 Data Mining Competition dataset Expert identifier, class predicted by expert LSTM + GRU + FCNN Accuracy -”
- A Survey of Forex and Stock Price Prediction Using Deep Learning (2021, methodology): “The analysis was based on data and results from the ISMIS 2017 Data Mining Competition[44] .”