Deep learning for time series classification: a review

12 September 2018

Germain Forestier

Papers citing "Deep learning for time series classification: a review"

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Title
Unsupervised Visual Time-Series Representation Learning and Clustering G. Anand R. Nayak AI4TS 7 4 0 19 Nov 2021
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data Yuansheng Zhu Weishi Shi Deepshikha Pandey Yang Liu Xiaofan Que Daniel E. Krutz Qi Yu EDL AI4TS 17 5 0 16 Nov 2021
Nyström Regularization for Time Series Forecasting Zirui Sun Mingwei Dai Yao Wang Shao-Bo Lin AI4TS 9 2 0 13 Nov 2021
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series Shubhranshu Shekhar D. Eswaran Bryan Hooi J. Elmer Christos Faloutsos L. Akoglu 9 17 0 11 Nov 2021
Dynamic Data Augmentation with Gating Networks for Time Series Recognition Daisuke Oba Shinnosuke Matsuo Brian Kenji Iwana AI4TS 11 1 0 05 Nov 2021
Model-assisted deep learning of rare extreme events from partial observations Anna Asch Ethan Brady Hugo Gallardo John Hood Bryan Chu M. Farazmand 14 13 0 04 Nov 2021
Predictive Auto-scaling with OpenStack Monasca Giacomo Lanciano Filippo Galli Tommaso Cucinotta D. Bacciu A. Passarella 6 4 0 03 Nov 2021
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field Mahak Kothari Shreyansh Joshi Adarsh Nandanwar Aadetya Jaiswal V. Baths 6 1 0 24 Oct 2021
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 11 6 0 19 Oct 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance Grace Deng Cuize Han T. Dreossi Clarence Lee David S. Matteson AI4TS 10 8 0 14 Oct 2021
Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang M. Zeman Theodoros Tsiligkaridis Marinka Zitnik MLAU AI4TS 25 75 0 11 Oct 2021
Predictive Maintenance for General Aviation Using Convolutional Transformers Hong Yang Aidan P. LaBella Travis J. Desell AI4TS 8 5 0 07 Oct 2021
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence J. Kemnitz T. Bierweiler H. Grieb Stefan von Dosky Daniel Schall OOD 16 5 0 07 Oct 2021
Attention module improves both performance and interpretability of 4D fMRI decoding neural network Zhoufan Jiang Yanming Wang Chenwei Shi Yueyang Wu Rongjie Hu Shishuo Chen Sheng Hu Xiaoxiao Wang B. Qiu 12 2 0 03 Oct 2021
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning Garrett Wilson J. Doppa D. Cook 18 32 0 30 Sep 2021
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers Samuel Harford Fazle Karim H. Darabi AI4TS 17 1 0 28 Sep 2021
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets Antoine Guillaume Christel Vrain Wael Elloumi AI4TS 27 30 0 28 Sep 2021
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheo Yon Jhin H. Shin Seoyoung Hong Solhee Park Noseong Park AI4TS 17 22 0 04 Sep 2021
Stochastic Physics-Informed Neural Ordinary Differential Equations Jared O’Leary J. Paulson A. Mesbah 6 37 0 03 Sep 2021
MrSQM: Fast Time Series Classification with Symbolic Representations Thach le Nguyen Georgiana Ifrim 8 13 0 02 Sep 2021
Sketches for Time-Dependent Machine Learning Jesus Antonanzas Marta Arias Albert Bifet 6 0 0 26 Aug 2021
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales Yihao Hu Fearghal O'Donncha Paul Palmes M. Burke R. Filgueira Jon Grant AI4TS 8 40 0 26 Aug 2021
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series Xinyu Yang Xinlan Zhang Zhenguo Zhang Yahui Zhao Rong-yi Cui AI4TS 13 1 0 23 Aug 2021
A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions U. Marikkar H. Weligampola R. Perera A. S. J. Hassan Suren Sritharan ... V. Herath Parakrama B. Ekanayake Janaka Ekanayake A. Rathnayake S. Dharmaratne 4 0 0 21 Aug 2021
XAI Methods for Neural Time Series Classification: A Brief Review Ilija vSimić Vedran Sabol Eduardo E. Veas BDL AI4TS 10 11 0 18 Aug 2021
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data Natália Villa Nova Rodrigues L. Abramo Nina Sumiko Tomita Hirata 8 3 0 10 Aug 2021
Multi-Camera Trajectory Forecasting with Trajectory Tensors Olly Styles T. Guha Victor Sanchez 13 7 0 10 Aug 2021
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection Chris Lundy John M. O'Toole 15 4 0 04 Aug 2021
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices L. Menculini A. Marini Massimiliano Proietti A. Garinei Alessio Bozza Cecilia Moretti M. Marconi 9 38 0 23 Jul 2021
An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data Weiwei Jiang Jiayun Luo 11 15 0 06 Jul 2021
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving Błażej Leporowski Daniella Tola Casper Hansen Alexandros Iosifidis 14 4 0 05 Jul 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification Chao-Han Huck Yang Yun-Yun Tsai Pin-Yu Chen AI4TS 11 95 0 17 Jun 2021
Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks João Ferreira Diogo Mateus Lavado Ricardo Gonccalves Matthias Knorr L. Krippahl João Leite AI4CE GNN 20 0 0 15 Jun 2021
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL Ricardo Ferreira Carolina Magalhães Lopes Ricardo Gonccalves Matthias Knorr L. Krippahl João Leite GNN 11 3 0 15 Jun 2021
Force-Sensing Tensegrity for Investigating Physical Human-Robot Interaction in Compliant Robotic Systems Andrew R. Barkan Akhil Padmanabha Sala R. Tiemann Albert Lee M. Kanter Yash Agarwal A. Agogino 8 2 0 15 Jun 2021
FlexParser -- the adaptive log file parser for continuous results in a changing world N. Ruecker A. Maier 8 8 0 06 Jun 2021
Price graphs: Utilizing the structural information of financial time series for stock prediction Junran Wu Ke Xu Xueyuan Chen Shangzhe Li Jichang Zhao AI4TS AIFin 17 41 0 04 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding S. Tonekaboni Danny Eytan Anna Goldenberg CML SSL AI4TS 17 271 0 01 Jun 2021
Fast, Accurate and Interpretable Time Series Classification Through Randomization Nestor Cabello Elham Naghizade Jianzhong Qi Lars Kulik AI4TS 10 5 0 31 May 2021
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG Jian Cui Zirui Lan Yisi Liu Ruilin Li Fan Li O. Sourina W. Müller-Wittig 11 63 0 30 May 2021
Pattern Discovery in Time Series with Byte Pair Encoding N. Tavabi Kristina Lerman AI4TS 8 2 0 30 May 2021
Short-Term Stock Price-Trend Prediction Using Meta-Learning Shin-Hung Chang Cheng-Wen Hsu Hsing-Ying Li Wei-Sheng Zeng Jan-Ming Ho AIFin 17 2 0 28 May 2021
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers Daniel Tanneberg Elmar Rueckert Jan Peters 20 6 0 17 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 17 37 0 07 May 2021
Automated scoring of pre-REM sleep in mice with deep learning Niklas Grieger J. Schwabedal Stefanie Wendel Y. Ritze Stephan Bialonski 16 18 0 05 May 2021
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series Gabriel Michau Gaetan Frusque Olga Fink AI4TS 20 57 0 03 May 2021
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data Chenxi Sun linda Qiao Moxian Song Yanxiu Zhou Yongyue Sun D. Cai Hongyan Li AI4TS 18 23 0 02 May 2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise Andrea Castellani Sebastian Schmitt Barbara Hammer NoLa 16 18 0 01 May 2021
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data Lucas Cassiel Jacaruso 12 5 0 25 Apr 2021
Learning future terrorist targets through temporal meta-graphs G. Campedelli Mihovil Bartulovic Kathleen M. Carley AI4TS 16 21 0 21 Apr 2021