Deep Learning Publication Navigator - subtopic: time series

Year TitleAuthor
2017   Autoregressive Convolutional Neural Networks for Asynchronous Time Series  M Binkowski, G Marti, P Donnat
2017   Model-free 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 long-short 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 Echo-state 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 Short-Term 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, Multi-Layer Perceptron and Multi-objective 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   Real-valued (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 Region-based 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 long-short 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   Non-Conformity Detection in High-Dimensional 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   Multi-Scale 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 Hi-speed 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 outcome-discriminative 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 Models-Reconstructing Gaps in Time Series  M Berglund, T Raiko, M Honkala, L Kärkkäinen
2015   Sensor-based 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   Dual-domain 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 Vector-Based Algorithms with Weighted Dynamic Time Warping Kernel Function for Time Series Classification  YS Jeong, R Jayaramam