An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices

Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation

(2021) Zhongxu Hu et al.   NEUROCOMPUTING

Study on Accuracy Metrics for Evaluating the Predictions of Damage Locations in Deep Piles Using Artificial Neural Networks with Acoustic Emission Data

(2021) Alipujiang Jierula et al.   Applied Sciences-Basel

ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise

(2021) Ewa Chodakowska et al.   Energies

Applications of deep learning in stock market prediction: Recent progress

(2021) Weiwei Jiang   EXPERT SYSTEMS WITH APPLICATIONS

A dynamic predictor selection algorithm for predicting stock market movement

(2021) Shuting Dong et al.   EXPERT SYSTEMS WITH APPLICATIONS

Facial expression recognition with grid-wise attention and visual transformer

(2021) Qionghao Huang et al.   INFORMATION SCIENCES

Financial time series forecasting with multi-modality graph neural network

(2021) Dawei Cheng et al.   PATTERN RECOGNITION

Non-iterative and Fast Deep Learning: Multilayer Extreme Learning Machines

(2020) Jie Zhang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Predicting the Trend of Stock Market Index Using the Hybrid Neural Network Based on Multiple Time Scale Feature Learning

(2020) Yaping Hao et al.   Applied Sciences-Basel

A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting

(2020) Shuai Zhang et al.   INFORMATION SCIENCES

Sailing through the COVID-19 Crisis by Using AI for Financial Market Predictions

(2020) Gagan Deep Sharma et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting

(2020) Salvatore Carta et al.   EXPERT SYSTEMS WITH APPLICATIONS

Two-stage three-way enhanced technique for ensemble learning in inclusive policy text classification

(2020) Decui Liang et al.   INFORMATION SCIENCES

A novel graph convolutional feature based convolutional neural network for stock trend prediction

(2020) Wei Chen et al.   INFORMATION SCIENCES

Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network

(2020) Hamidreza Jahangir et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

(2019) Paweł Pławiak et al.   NEURAL COMPUTING & APPLICATIONS

HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments

(2019) Shreshth Tuli et al.   Future Generation Computer Systems-The International Journal of eScience

YAKE! Keyword extraction from single documents using multiple local features

(2019) Ricardo Campos et al.   INFORMATION SCIENCES

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

(2019) Yeqi Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

(2019) Paweł Pławiak et al.   INFORMATION SCIENCES

Combining contextual neural networks for time series classification

(2019) Amadu Fullah Kamara et al.   NEUROCOMPUTING

Deep learning-based feature engineering for stock price movement prediction

(2018) Wen Long et al.   KNOWLEDGE-BASED SYSTEMS

A new nested ensemble technique for automated diagnosis of breast cancer

(2018) Moloud Abdar et al.   PATTERN RECOGNITION LETTERS