Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach

A comprehensive review of deterministic models and applications for mean-variance portfolio optimization

(2019) Can B. Kalayci et al.   EXPERT SYSTEMS WITH APPLICATIONS

A constrained portfolio trading system using particle swarm algorithm and recurrent reinforcement learning

(2019) Saud Almahdi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Portfolio formation with preselection using deep learning from long-term financial data

(2019) Wuyu Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

The use of machine learning algorithms in recommender systems: A systematic review

(2018) Ivens Portugal et al.   EXPERT SYSTEMS WITH APPLICATIONS

ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module

(2018) Yujin Baek et al.   EXPERT SYSTEMS WITH APPLICATIONS

Bankruptcy prediction using imaged financial ratios and convolutional neural networks

(2018) Tadaaki Hosaka   EXPERT SYSTEMS WITH APPLICATIONS

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING

Determination of vector error correction models in high dimensions

(2018) Chong Liang et al.   JOURNAL OF ECONOMETRICS

High-order Hidden Markov Model for trend prediction in financial time series

(2018) Mengqi Zhang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Marketing analytics: Methods, practice, implementation, and links to other fields

(2018) Stephen L. France et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modelling and constructing membership function for uncertain portfolio parameters: A credibilistic framework

(2017) Hemant Jalota et al.   EXPERT SYSTEMS WITH APPLICATIONS

Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm

(2017) Kan Li et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Ensemble learning for data stream analysis: A survey

(2017) Bartosz Krawczyk et al.   Information Fusion

A time-delay neural network for solving time-dependent shortest path problem

(2017) Wei Huang et al.   NEURAL NETWORKS

Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm

(2017) Jian Tang et al.   NEUROCOMPUTING

Financial networks based on Granger causality: A case study

(2017) Angeliki Papana et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Continuous Online Sequence Learning with an Unsupervised Neural Network Model

(2016) Yuwei Cui et al.   NEURAL COMPUTATION

A decentralized training algorithm for Echo State Networks in distributed big data applications

(2016) Simone Scardapane et al.   NEURAL NETWORKS

Phase synchronization based minimum spanning trees for analysis of financial time series with nonlinear correlations

(2016) Srinivasan Radhakrishnan et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data

(2016) Boubacar Doucoure et al.   RENEWABLE ENERGY

Prediction of time series of NPP operating parameters using dynamic model based on BP neural network

(2015) Yong-kuo Liu et al.   ANNALS OF NUCLEAR ENERGY

Recurrent neural network and a hybrid model for prediction of stock returns

(2015) Akhter Mohiuddin Rather et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time series forecasting based on wavelet filtering

(2015) Tae Woo Joo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluating multiple classifiers for stock price direction prediction

(2015) Michel Ballings et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach

(2015) Christiane Baumeister et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Partial correlation analysis: applications for financial markets

(2015) Dror Y. Kenett et al.   QUANTITATIVE FINANCE

Performance of state space and ARIMA models for consumer retail sales forecasting

(2015) Patrícia Ramos et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

TOSELM: Timeliness Online Sequential Extreme Learning Machine

(2013) Yang Gu et al.   NEUROCOMPUTING

Connectivity measures applied to human brain electrophysiological data

(2012) R.E. Greenblatt et al.   JOURNAL OF NEUROSCIENCE METHODS

Rényi’s information transfer between financial time series

(2012) Petr Jizba et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Quantized Kernel Least Mean Square Algorithm

(2011) Badong Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming

(2010) Yi-Shian Lee et al.   KNOWLEDGE-BASED SYSTEMS

The Kernel Least-Mean-Square Algorithm

(2008) Weifeng Liu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING