A framework based on sparse representation model for time series prediction in smart city

Multi-step ahead time series forecasting via sparse coding and dictionary based techniques

(2018) Ahmed Helmi et al.   APPLIED SOFT COMPUTING

Identifying On-site Users for Social Events: Mobility, Content, and Social Relationship

(2018) Zhiwen Yu et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Statistical and Machine Learning forecasting methods: Concerns and ways forward

(2018) Spyros Makridakis et al.   PLoS One

Cyber-physical-social collaborative sensing: from single space to cross-space

(2018) Fei Yi et al.   Frontiers of Computer Science

Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

(2018) Zongtao Duan et al.   IEEE Access

Sparse Multigraph Embedding for Multimodal Feature Representation

(2017) Shiping Wang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Urban computing: enabling urban intelligence with big data

(2017) Yu Zheng   Frontiers of Computer Science

Forecasting of stock return prices with sparse representation of financial time series over redundant dictionaries

(2016) Roberto Rosas-Romero et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting electricity load by a novel recurrent extreme learning machines approach

(2016) Ömer Faruk Ertugrul   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting

(2016) Souhaib Ben Taieb et al.   IEEE Transactions on Neural Networks and Learning Systems

Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints

(2016) Zhiwen Yu et al.   IEEE Transactions on Human-Machine Systems

A PSO-Optimized Real-Time Fault-Tolerant Task Allocation Algorithm in Wireless Sensor Networks

(2015) Wenzhong Guo et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Multi-hop Mobility Prediction

(2015) Zhiyong Yu et al.   MOBILE NETWORKS & APPLICATIONS

Supporting Serendipitous Social Interaction Using Human Mobility Prediction

(2015) Zhiwen Yu et al.   IEEE Transactions on Human-Machine Systems

A Survey of Sparse Representation: Algorithms and Applications

(2015) Zheng Zhang et al.   IEEE Access

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

A new approach to minimum attribute reduction based on discrete artificial bee colony

(2014) Dongyi Ye et al.   SOFT COMPUTING

Compressed sensing signal recovery via forward–backward pursuit

(2013) Nazim Burak Karahanoglu et al.   DIGITAL SIGNAL PROCESSING

Accelerated regularization based SAR imaging via BCR and reduced Newton skills

(2013) Jinshan Zeng et al.   SIGNAL PROCESSING

Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

(2012) David L. Donoho et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Enhancing sparsity via ℓp (0

(2012) Song Guo et al.   NEUROCOMPUTING

$L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver

(2012) Zongben Xu et al.   IEEE Transactions on Neural Networks and Learning Systems

An Empirical Comparison of Machine Learning Models for Time Series Forecasting

(2010) Nesreen K. Ahmed et al.   Econometric Reviews

A review on time series data mining

(2010) Tak-chung Fu   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Variance-Component Based Sparse Signal Reconstruction and Model Selection

(2010) Kun Qiu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Dictionaries for Sparse Representation Modeling

(2010) Ron Rubinstein et al.   PROCEEDINGS OF THE IEEE

Iteratively reweighted least squares minimization for sparse recovery

(2009) Ingrid Daubechies et al.   COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS

Subspace Pursuit for Compressive Sensing Signal Reconstruction

(2009) Wei Dai et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

Sparsest solutions of underdetermined linear systems via ℓq-minimization for 0<q⩽1

(2008) Simon Foucart et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

(2008) D. Needell et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS