暂无分享,去创建一个
Dong Xu | Qing He | Xiang Fang | Guangyu Sun | Duolin Wang | Dongpeng Liu | Ming Liu | Yi Zhao | Fangxing Liu
[1] James A. Reggia,et al. A generalized LSTM-like training algorithm for second-order recurrent neural networks , 2012, Neural Networks.
[2] Zhenhua Wang,et al. Smart Meter Data Analysis for Power Theft Detection , 2013, MLDM.
[3] Sean Lyons,et al. Estimating the impact of time-of-use pricing on Irish electricity demand , 2014 .
[4] Dan Jiang,et al. Prediction Method for Smart Meter Life Based On Big Data , 2018 .
[5] Jürgen Kurths,et al. Recurrence plots for the analysis of complex systems , 2009 .
[6] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[7] Xiangming Shen,et al. Smart grid meter analytics for revenue protection , 2014, 2014 International Conference on Power System Technology.
[8] Liu Keyan,et al. The anomalous data identification study of reactive power optimization system based on big data , 2016, 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
[9] Nima Hatami,et al. Classification of time-series images using deep convolutional neural networks , 2017, International Conference on Machine Vision.
[10] Athanasios V. Vasilakos,et al. Big data: From beginning to future , 2016, Int. J. Inf. Manag..
[11] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[12] Krzysztof Gajowniczek,et al. Short Term Electricity Forecasting Using Individual Smart Meter Data , 2014, KES.
[13] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[14] Zhiqiang Geng,et al. Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[15] Mohamed Abdel-Aty,et al. A Bayesian ridge regression analysis of congestion's impact on urban expressway safety. , 2016, Accident; analysis and prevention.
[16] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[17] Sung-Bae Cho,et al. Web traffic anomaly detection using C-LSTM neural networks , 2018, Expert Syst. Appl..
[18] Jing Gao,et al. A deep learning approach for detecting traffic accidents from social media data , 2018, ArXiv.
[19] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[20] Yuan Zhang,et al. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network , 2019, IEEE Transactions on Smart Grid.
[21] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[22] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[23] Gabriela Hug,et al. Forecasting of Smart Meter Time Series Based on Neural Networks , 2016, DARE@PKDD/ECML.
[24] N. Kshetri. The evolution of the internet of things industry and market in China: An interplay of institutions, demands and supply , 2017 .
[25] Duolin Wang,et al. MusiteDeep: A deep-learning framework for protein post-translational modification site prediction , 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[26] Helmut Krcmar,et al. Big Data , 2014, Wirtschaftsinf..
[27] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[29] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[30] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.