DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction

[1]  Juan Pardo,et al.  On-line learning of indoor temperature forecasting models towards energy efficiency , 2014 .

[2]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[3]  SMFernandez Fraga,et al.  SCREEN TASK EXPERIMENTS FOR EEG SIGNALS BASED ON SSVEP BRAIN COMPUTER INTERFACE. , 2018 .

[4]  Manish Marwah,et al.  Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble , 2012, AAAI.

[5]  Meinard Müller,et al.  Dynamic Time Warping , 2008 .

[6]  Enrico Zio,et al.  SVM hyperparameters tuning for recursive multi-step-ahead prediction , 2017, Neural Computing and Applications.

[7]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[8]  Yoshua Bengio,et al.  Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.

[9]  M. Hadi Amini,et al.  ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation , 2016 .

[10]  Yu Zheng,et al.  GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction , 2018, IJCAI.

[11]  Lian Zhou,et al.  A Hierarchical Multimodal Attention-based Neural Network for Image Captioning , 2017, SIGIR.

[12]  Garrison W. Cottrell,et al.  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction , 2017, IJCAI.

[13]  Garrison W. Cottrell,et al.  Experience with selecting exemplars from clean data , 1996, Neural Networks.

[14]  Rubita Sudirman,et al.  Dynamic time warping , 2008 .

[15]  Yoshua Bengio,et al.  Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.

[16]  M. Steinhauser,et al.  A dual-stage two-phase model of selective attention. , 2010, Psychological review.

[17]  Quoc V. Le,et al.  Sequence to Sequence Learning with Neural Networks , 2014, NIPS.