Financial time series forecasting with multi-modality graph neural network

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

(2020) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

Implementing transfer learning across different datasets for time series forecasting

(2020) Rui Ye et al.   PATTERN RECOGNITION

Graph Neural Network for Fraud Detection via Spatial-Temporal Attention

(2020) Dawei Cheng et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Encoding of high-frequency order information and prediction of short-term stock price by deep learning

(2019) Daigo Tashiro et al.   QUANTITATIVE FINANCE

Ensemble of deep convolutional neural networks based multi-modality images for Alzheimer's disease diagnosis

(2019) Xusheng Fang et al.   IET Image Processing

Dynamic graph convolutional networks

(2019) Franco Manessi et al.   PATTERN RECOGNITION

Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems

(2019) Alaa Sagheer et al.   Scientific Reports

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Time series feature learning with labeled and unlabeled data

(2018) Haishuai Wang et al.   PATTERN RECOGNITION