Time series classification from scratch with deep neural networks: A strong baseline

Keywords

Computer science, Baseline (sea), Artificial intelligence, Convolutional neural network, Pooling

References

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• Empirical Evaluation of Rectified Activations in Convolutional NetworkBing Xu, Naiyan Wang, Tianqi Chen — 2015
• The BOSS is concerned with time series classification in the presence of noisePatrick Schäfer — 2015
• A Bag-of-Features Framework to Classify Time SeriesMustafa Gökçe Baydoğan, George C. Runger, Eugene Tuv — 2013
• Time-Series Classification with COTE: The Collective of Transformation-Based EnsemblesAnthony Bagnall, Jason Lines, Jon Hills — 2015
• Time series classification with ensembles of elastic distance measuresJason Lines, Anthony Bagnall — 2015
• Exact indexing of dynamic time warpingEamonn Keogh, Chotirat Ann Ratanamahatana — 2002
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• Deep Residual Learning for Image RecognitionKaiming He, Xiangyu Zhang, Shaoqing Ren — 2015
• Scalable time series classificationPatrick Schäfer — 2016
• Learning Deep Features for Discriminative LocalizationBolei Zhou, Aditya Khosla, Àgata Lapedriza — 2015
• Multi-Scale Convolutional Neural Networks for Time Series ClassificationZhicheng Cui, Wenlin Chen, Yixin Chen — 2016
• Wide & Deep Learning for Recommender SystemsHeng-Tze Cheng, Levent Koç, Jeremiah Harmsen — 2016
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftSergey Ioffe, Christian Szegedy — 2015
• Network In NetworkMin Lin, Qiang Chen, Shuicheng Yan — 2013
• Adam: A Method for Stochastic OptimizationDiederik P. Kingma, Jimmy Ba — 2014

Cited by

• Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSMAntonio Bevilacqua, Louise Brennan, Rob Argent — 2019
• Reservoir Computing Approaches for Representation and Classification of Multivariate Time SeriesJacob Pieter Hendrik Lubbe, D.D.J. Malan, Cilas J. Wilders — 2018
• Fast and Accurate Time Series Classification with WEASELPatrick Schäfer, Ulf Leser — 2017
• Conditional Time Series Forecasting with Convolutional Neural NetworksAnastasia Borovykh, Sander M. Bohté, Cornelis W. Oosterlee — 2017
• Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classificationCao Tri, Ahlame Douzal-Chouakria, Sylvain Marié — 2017
• LSTM Fully Convolutional Networks for Time Series ClassificationFazle Karim, Somshubra Majumdar, Houshang Darabi — 2017
• Automated Cloud Provisioning on AWS using Deep Reinforcement LearningZhiguang Wang, C. Gwon, Tim Oates — 2017
• Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the CloudAlessandro De Palma, Erik Hemberg, Una-May O’Reilly — 2017
• Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart GridsZibin Zheng, Yatao Yang, Xiangdong Niu — 2018
• Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task LearningKaran Aggarwal, Shafiq Joty, Luis Fernández-Luque — 2017
• HeNet: A Deep Learning Approach on Intel® Processor Trace for Effective Exploit DetectionLi Chen, Salmin Sultana, Ravi Sahita — 2018
• Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series ClassificationYue Geng, Xinyu Luo — 2018
• Multivariate LSTM-FCNs for Time Series ClassificationFazle Karim, Somshubra Majumdar, Houshang Darabi — 2018
• Convolutional neural network with multi-task learning scheme for acoustic scene classificationTin Lay Nwe, Tran Huy Dat, Bin Ma — 2017
• A Generative Modeling Approach to Limited Channel ECG ClassificationDeepta Rajan, Jayaraman J. Thiagarajan — 2018
• A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical ApplicationsHamid Soleimani, Aliasghar, Makhlooghpour — 2018
• Demand-Side Management Using Deep Learning for Smart Charging of Electric VehiclesKarol Lina López, Christian Gagné, Marc-André Gardner — 2019
• Deep reinforcement learning for time series: playing idealized trading gamesXiang Gao — 2018
• Learning and Mining Player Motion Profiles in Physically Interactive RobogamesEwerton L. S. Oliveira, Davide Orrù, Luca Morreale — 2018
• Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approachÖmer Berat Sezer, Ahmet Murat Özbayoğlu — 2018

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