Self-supervised representation learning from electroencephalography signals (IEEE MLSP 2019).Self-Supervised Learning for Semi-Supervised Time Series Classification (PAKDD2020).Unsupervised Learning, Representation Learning and Self Supervised Learning for TS Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data (MDPI2017).Towards a universal neural network encoder for time series (CCIA2018).Reconstruction and Regression Loss for Time-Series Transfer Learning (SIGKDD MiLeTS' 2018).Transfer learning for time series classification (IEEE Conference on Big Data2018).Transfer Learning Based Fault Diagnosis with Missing Data Due to Multi-Rate Sampling (MDPI2019).Multi-source transfer learning of time series in cyclical manufacturing (Journal of Intelligent Manufacturing 2019).Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning (arXiv2019).Transfer Learning for Financial Time Series Forecasting (PRICAI2019).ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification (IJCNN2019).A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (IJCAI2017).Attend and Diagnose: Clinical Time Series Analysis Using Attention Models (AAAI2018).MuVAN: A Multi-view Attention Network for Multivariate Temporal Data (ICDM2018).Temporal pattern attention for multivariate time series forecasting (ECML-PKDD2019).CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare (ICDM2019).Multi-Horizon Time Series Forecasting with Temporal Attention Learning (KDD2019).Modeling Extreme Events in Time Series Prediction (KDD2019).Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism (ECML-PKDD2019).DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting (CIKM2019 - Short).DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series (IRREGULAR, AAAI2020).Forecasting stock prices with long-short term memory neural network based on attention mechanism (PlosONE 2020).Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs (arXiv2017) Īttention Mechanism for Time Series Analysis.Generating Financial Series with Generative Adversarial Networks (blog post).Quant GANs: Deep Generation of Financial Time Series (arXiv2019).Generative Models for (Multivariate) Time Series Recurrent Neural Networks for Multivariate Time Series with Missing Values (Nature 2018).GAN and Missing Data Imputation (medium post).
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks (ICLR2019).E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation (IJCAI2019).
GAIN: Missing Data Imputation using Generative Adversarial Nets (IJCAI2018).GAN for Data Imputation (Time Series Domain and not) Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (KDD2019).DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series (IEEE2019).A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series (IEEE2019).Generative Adversarial Networks for Failure Prediction (ECML2019).Time-series Extreme Event Forecasting with Neural Networks at Uber (2017) (Autoencoder and LSTM for rare event prediction in univariate TS).DIFFUSION CONVOLUTIONAL RECURRENT NEURAL NETWORK: DATA-DRIVEN TRAFFIC FORECASTING (ICLR2018).Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models (IRREGULAR, Non-stationary - NIPS2020).Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values (IRREGULAR, forecasting with Missing values AAAI2020).Multivariate Temporal Convolutional Network:A Deep Neural Networks Approach for Multivariate Time Series Forecasting (MDPI2019).Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting (NIPS2019).Deep learning for time series classification: a review (DMKD2019).Deep Learning for Time Series Classification (InceptionTime) (2020).Here some updated notes on articles/papers read Time Series Classification Refer to this document for a curated list of papers/articles.
#TIMENET TIME SERIES CLASSIFICATION CODE#
Repository with code and resources related to the current activity on time series analysis. ML4ITS - Machine Learning for Irregular Time Series
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