暂无分享,去创建一个
Germain Forestier | Pierre-Alain Muller | Lhassane Idoumghar | Jonathan Weber | Hassan Ismail Fawaz | G. Forestier | Pierre-Alain Muller | Hassan Ismail Fawaz | J. Weber | L. Idoumghar
[1] Yixin Chen,et al. Multi-Scale Convolutional Neural Networks for Time Series Classification , 2016, ArXiv.
[2] Geoffrey I. Webb,et al. Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification , 2014, 2014 IEEE International Conference on Data Mining.
[3] Marco Cuturi,et al. Soft-DTW: a Differentiable Loss Function for Time-Series , 2017, ICML.
[4] Dana Kulic,et al. Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks , 2017, ICMI.
[5] Romain Tavenard,et al. Data Augmentation for Time Series Classification using Convolutional Neural Networks , 2016 .
[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Mario Michael Krell,et al. Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data , 2018, ArXiv.
[8] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[9] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[10] Kjersti Aas,et al. Predicting mortgage default using convolutional neural networks , 2018, Expert Syst. Appl..
[11] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[12] Samy Bengio,et al. Understanding deep learning requires rethinking generalization , 2016, ICLR.
[13] Razvan Pascanu,et al. Deep Learners Benefit More from Out-of-Distribution Examples , 2011, AISTATS.
[14] Xinyu Luo,et al. Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification , 2018, ArXiv.
[15] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[16] Tim Oates,et al. Time series classification from scratch with deep neural networks: A strong baseline , 2016, 2017 International Joint Conference on Neural Networks (IJCNN).
[17] Eamonn J. Keogh,et al. The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances , 2016, Data Mining and Knowledge Discovery.
[18] Pierre Gançarski,et al. A global averaging method for dynamic time warping, with applications to clustering , 2011, Pattern Recognit..
[19] Geoffrey I. Webb,et al. Generating Synthetic Time Series to Augment Sparse Datasets , 2017, 2017 IEEE International Conference on Data Mining (ICDM).
[20] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[21] Geoffrey I. Webb,et al. Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm , 2015, Knowledge and Information Systems.