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A Critical Review of Recurrent Neural Networks for Sequence Learning

29 May 2015

Papers citing "A Critical Review of Recurrent Neural Networks for Sequence Learning"

21 / 271 papers shown

Title
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network K. Fang Chaopeng Shen Daniel Kifer Xiaohu Yang AI4TS 45 231 0 20 Jul 2017
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks Massimo Quadrana Alexandros Karatzoglou Balázs Hidasi Paolo Cremonesi 83 649 0 13 Jun 2017
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting F. Bianchi E. Maiorino Michael C. Kampffmeyer A. Rizzi Robert Jenssen AI4TS 109 218 0 11 May 2017
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction Sunyoung Kwon Sungroh Yoon 47 52 0 27 Apr 2017
A New Type of Neurons for Machine Learning Fenglei Fan W. Cong Ge Wang 57 73 0 26 Apr 2017
A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular Communications Nariman Farsad David Pan Andrea J. Goldsmith 35 106 0 16 Apr 2017
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks Thijs Kooi N. Karssemeijer 58 48 0 22 Mar 2017
Dance Dance Convolution Chris Donahue Zachary Chase Lipton Julian McAuley 61 36 0 20 Mar 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 145 225 0 24 Feb 2017
Hierarchical Symbolic Dynamic Filtering of Streaming Non-stationary Time Series Data Adedotun Akintayo Soumik Sarkar 68 8 0 06 Feb 2017
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets Maciej Wielgosz A. Skoczeń M. Mertik 37 9 0 02 Feb 2017
Towards Decoding as Continuous Optimization in Neural Machine Translation Cong Duy Vu Hoang Gholamreza Haffari Trevor Cohn AI4CE 89 42 0 11 Jan 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections Zakaria Mhammedi Andrew D. Hellicar Ashfaqur Rahman James Bailey 101 129 0 01 Dec 2016
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets Maciej Wielgosz A. Skoczeń M. Mertik 49 53 0 18 Nov 2016
A Survey of Brain Inspired Technologies for Engineering Jarryd Son A. Mishra 22 5 0 31 Oct 2016
A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework M. Mertik Maciej Wielgosz A. Skoczeń 23 0 0 25 Oct 2016
Characterizing Driving Styles with Deep Learning Weishan Dong Jian Li Renjie Yao Changsheng Li Ting Yuan Lanjun Wang 56 105 0 13 Jul 2016
Modeling Missing Data in Clinical Time Series with RNNs Zachary Chase Lipton David C. Kale R. Wetzel AI4TS 105 231 0 13 Jun 2016
Continuous online sequence learning with an unsupervised neural network model Yuwei Cui Subutai Ahmad J. Hawkins CLL 48 240 0 17 Dec 2015
Learning to Diagnose with LSTM Recurrent Neural Networks Zachary Chase Lipton David C. Kale Charles Elkan R. Wetzel 176 1,111 0 11 Nov 2015
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks Zachary Chase Lipton David C. Kale R. Wetzel 54 38 0 26 Oct 2015