Year  Title  Author 
2017

Autoregressive Convolutional Neural Networks for Asynchronous Time Series 
M Binkowski, G Marti, P Donnat

2017

Modelfree prediction of noisy chaotic time series by deep learning 
K Yeo

2017

Deep Neural Networks as Time Series Forecasters of Energy Demand 
G Merkel

2017

A Literature Survey of Early Time Series Classification and Deep Learning 
T Santos, R Kern

2017

Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform 
S Kanarachos, SRG Christopoulos, A Chroneos

2017

Conditional Time Series Forecasting with Convolutional Neural Networks 
A Borovykh, S Bohte, CW Oosterlee

2017

Deep Convolutional Factor Analyser for Multivariate Time Series Modeling 
C Yuan, A Chakraborty

2017

The Decomposition Issue of a Time Series in the Forecasting Process 
D Grzesica

2017

Financial Time Series Prediction Using Deep Learning 
A Navon, Y Keller

2017

Deep Learning in Multiple Multistep Time Series Prediction 
C Zang

2017

A deep learning framework for financial time series using stacked autoencoders and longshort term memory. 
W Bao, J Yue, Y Rao

2017

Computer activity learning from system call time series 
C Hastings, R Mainieri

2017

A Cycle Deep Belief Network Model for Multivariate Time Series Classification 
S Wang, G Hua, G Hao, C Xie

2017

Deep Belief Echostate Network and Its Application to Time Series Prediction 
X Sun, T Li, Q Li, Y Huang, Y Li

2017

Empirical Mode Decomposition based Ensemble Deep Learning for Load Demand Time Series Forecasting 
X Qiu, Y Ren, PN Suganthan, GAJ Amaratunga

2017

Time Series Forecasting Based on Augmented Long ShortTerm Memory 
D Hsu

2017

Red tide time series forecasting by combining ARIMA and deep belief network 
M Qin, Z Li, Z Du

2017

Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods 
XY Qian, S Gao

2017

A GPU deep learning metaheuristic based model for time series forecasting 
IM Coelho, VN Coelho, EJS Luz, LS Ochi

2017

A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series 
S Chambon, M Galtier, P Arnal, G Wainrib, A Gramfort

2017

Financial time series forecasting using conditional Restricted Boltzmann Machine 
KC Lai

2017

Financial Time Series Prediction using Hybrids of Chaos Theory, MultiLayer Perceptron and Multiobjective Evolutionary Algorithms 
V Ravi, D Pradeepkumar, K Deb

2017

Load Forecasting using Linear Regression Analysis and Moving Average Technique in Time Series Model for RGUKT, RK Valley Campus HT Feeder 
MD Reddy, N Vishali

2017

Realvalued (Medical) Time Series Generation with Recurrent Conditional GANs 
C Esteban, SL Hyland, G Rätsch

2017

A Deep Learning of Time Series for Efficient Analysis 
T Thinsungnoen, K Kerdprasop, N Kerdprasop

2017

Characterizing Time Series Data Diversity for Wind Forecasting 
C Feng, EK Chartan, BM Hodge, J Zhang

2017

Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning 
T Hirata, T Kuremoto, M Obayashi, S Mabu

2017

Cascaded Contextual Regionbased Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application 
Y Wu, Y Lin, Z Zhou, DC Bolton, J Liu, P Johnson

2017

Communication Network Time Series Prediction Algorithm Based on Big Data Method 
T Wang, M Wang

2017

Weighted time series fault diagnosis based on a stacked sparse autoencoder 
F Lv, C Wen, M Liu, Z Bao

2017

A deep learning framework for financial time series using stacked autoencoders and longshort term memory 
W Bao, J Yue, Y Rao

2017

Time series prediction of stock price using deep belief networks with intrinsic plasticity 
X Li, L Yang, F Xue, H Zhou

2017

LSTM Fully Convolutional Networks for Time Series Classification 
F Karim, S Majumdar, H Darabi, S Chen

2017

Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry 
N Mehdiyev, J Lahann, A Emrich, D Enke, P Fettke

2017

A Novel DBN Model for Time Series Forecasting 
Y Ren, J Mao, Y Liu, Y Li

2017

Convolutional Neural Networks for Time Series Classification 
M Zȩbik, M Korytkowski, R Angryk, R Scherer

2017

Adaptive learning method of recurrent temporal deep belief network to analyze time series data 
T Ichimura, S Kamada

2017

Oblique Random Forest Ensemble via Least Square Estimation for Time Series Forecasting 
X Qiu, L Zhang, PN Suganthan, GAJ Amaratunga

2016

Time series prediction for evolutions of complex systems: A deep learning approach 
P Jiang, C Chen, X Liu

2016

Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization 
Z Wang, W Song, L Liu, F Zhang, J Xue, Y Ye, M Fan

2016

NonConformity Detection in HighDimensional Time Series of Stock Market Data 
A Kasuga, Y Ohsawa, T Yoshino, S Ashida

2016

Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI … 
D Martin

2016

A Hybrid Approach for Time Series Forecasting Using Deep Learning and Nonlinear Autoregressive Neural Networks 
S Narejo, EGA Pasero

2016

Recurrent Neural Networks for Multivariate Time Series with Missing Values 
Z Che, S Purushotham, K Cho, D Sontag, Y Liu

2016

Modeling Missing Data in Clinical Time Series with RNNs 
ZC Lipton, DC Kale, R Wetzel

2016

MultiScale Convolutional Neural Networks for Time Series Classification 
Z Cui, W Chen, Y Chen

2016

Time Series Prediction Based on Multiple Artificial Neural Network 
F Li, J Liu

2016

Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series 
ZC Lipton, DC Kale, R Wetzel

2016

Fractal Dimension Analysis of EEG Time Series Signal Buried in Random Noise 
G Tremberger, R Sullivan, S Dehipawala, P Schneider

2016

Ensemble Deep Learning for Biomedical Time Series Classification 
L Jin, J Dong

2016

Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting 
T Hirata, T Kuremoto, M Obayashi, S Mabu

2016

A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction 
H Shen, X Liang

2016

Machine Learning Approach to Forecast Global Solar Radiation Time Series 
G Terren

2016

Representation Learning on Time Series with Symbolic Approximation and Deep Learning 
Z Wang

2016

Modeling Time Series Similarity with Siamese Recurrent Networks 
W Pei, DMJ Tax, L van der Maaten

2015

Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification 
Y Zheng, Q Liu, E Chen, JL Zhao, L He, G Lv

2015

A novel method based on data visual autoencoding for time series similarity matching 
C Qian, Y Wang, G Hu, L Guo

2015

Early Detection of Combustion Instability from Hispeed Flame Images via Deep Learning and Symbolic Time Series Analysis 
S Sarkar, KG Lore, S Sarkar, V Ramanan

2015

Deep Learning for Multivariate Financial Time Series 
G BATRES

2015

Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation 
R Hrasko, AGC Pacheco, RA Krohling

2015

12 Identifying outcomediscriminative dynamics in multivariate physiological cohort time series 
S Nemati, RP Adams

2015

Modeling Time Series Data With Deep Fourier Neural Networks 
MS Gashler, SC Ashmore

2015

Building superposition of deep learning neural networks for solving the problem of time series classification 
MS Popova, V Strijov

2015

Bidirectional Recurrent Neural Networks as Generative ModelsReconstructing Gaps in Time Series 
M Berglund, T Raiko, M Honkala, L Kärkkäinen

2015

Sensorbased Human Activity Recognition System with A Multilayered Model Using Time Series Shapelets 
L Liu, Y Peng, M Liu, Z Huang

2015

A Survey of Motion Capture Data Earning as High Dimensional Time Series 
Z Zhi

2015

Deep Convolutional Neural Networks On Multichannel Time Series For Human Activity Recognition 
JB Yang, MN Nguyen, PP San, XL Li, S Krishnaswamy

2014

Dualdomain Hierarchical Classification of Phonetic Time Series 
H Hamooni, A Mueen

2014

Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases 
P Przymus

2014

Error Modeling Approach to Improve Time Series Forecasters 
PRA Firmino, PSG de Mattos Neto, TAE Ferreira

2014

Learning Methods for Variable Selection and Time Series Prediction 
D Sovilj

2014

Support VectorBased Algorithms with Weighted Dynamic Time Warping Kernel Function for Time Series Classification 
YS Jeong, R Jayaramam
