A deep learning framework for financial time series using stacked autoencoders and long-short term memory

Computational Intelligence and Financial Markets: A Survey and Future Directions

(2016) Rodolfo C. Cavalcante et al.   EXPERT SYSTEMS WITH APPLICATIONS

Distributed Compressive Sensing: A Deep Learning Approach

(2016) Hamid Palangi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

The lead–lag relationship between stock index and stock index futures: A thermal optimal path method

(2016) Chen-Chen Gong et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Assessing the Efficacy of Adjustable Moving Averages Using ASEAN-5 Currencies

(2016) Jacinta Chan Phooi M’ng et al.   PLoS One

A deep learning framework for hyperspectral image classification using spatial pyramid pooling

(2016) Jun Yue et al.   Remote Sensing Letters

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

(2016) Hamid Palangi et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

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

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

Scene classification based on single-layer SAE and SVM

(2015) Hongpeng Yin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

(2015) Junshui Ma et al.   Journal of Chemical Information and Modeling

Forecasting exchange rate using deep belief networks and conjugate gradient method

(2015) Furao Shen et al.   NEUROCOMPUTING

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

Deep learning of the tissue-regulated splicing code

(2014) Michael K. K. Leung et al.   BIOINFORMATICS

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

The human splicing code reveals new insights into the genetic determinants of disease

(2014) H. Y. Xiong et al.   SCIENCE

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing

A novel text mining approach to financial time series forecasting

(2011) Baohua Wang et al.   NEUROCOMPUTING

Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm

(2010) Tsung-Jung Hsieh et al.   APPLIED SOFT COMPUTING

Deep Belief Networks Are Compact Universal Approximators

(2010) Nicolas Le Roux et al.   NEURAL COMPUTATION

Financial time series forecasting using independent component analysis and support vector regression

(2009) Chi-Jie Lu et al.   DECISION SUPPORT SYSTEMS

A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling

(2009) Vahid Nourani et al.   WATER RESOURCES MANAGEMENT

Deep, Narrow Sigmoid Belief Networks Are Universal Approximators

(2008) Ilya Sutskever et al.   NEURAL COMPUTATION

Financial time series prediction using polynomial pipelined neural networks

(2007) Abir Jaafar Hussain et al.   EXPERT SYSTEMS WITH APPLICATIONS