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Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

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Showing 851–900 of 6748 papers

TitleStatusHype
Efficient Cross-Validation of Echo State NetworksCode1
General Evaluation for Instruction Conditioned Navigation using Dynamic Time WarpingCode1
Latent ODEs for Irregularly-Sampled Time SeriesCode1
Financial Time Series Data Processing for Machine LearningCode1
Time-Series Anomaly Detection Service at MicrosoftCode1
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time seriesCode1
Neural Jump Stochastic Differential EquationsCode1
Automatic Posterior Transformation for Likelihood-Free InferenceCode1
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature SpacesCode1
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
Forecasting with time series imagingCode1
Efficient Optimization of Echo State Networks for Time Series DatasetsCode1
Learning the dynamics of technical trading strategiesCode1
Adversarial Attacks on Time SeriesCode1
Insights into LSTM Fully Convolutional Networks for Time Series ClassificationCode1
Deep Adaptive Input Normalization for Time Series ForecastingCode1
Structural Recurrent Neural Network for Traffic Speed PredictionCode1
catch22: CAnonical Time-series CHaracteristicsCode1
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand ForecastingCode1
Transfer learning for time series classificationCode1
Gaussian Process Prior Variational AutoencodersCode1
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse EffectsCode1
Proximity Forest: An effective and scalable distance-based classifier for time seriesCode1
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency DomainsCode1
Differentiable Compositional Kernel Learning for Gaussian ProcessesCode1
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for HealthcareCode1
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signalsCode1
Real-time Air Pollution prediction model based on Spatiotemporal Big dataCode1
Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk ModelingCode1
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence ModelingCode1
Probabilistic Recurrent State-Space ModelsCode1
Multivariate LSTM-FCNs for Time Series ClassificationCode1
Learning Linear Dynamical Systems via Spectral FilteringCode1
hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature ExtractionCode1
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic ForecastingCode1
LSTM Fully Convolutional Networks for Time Series ClassificationCode1
Deep and Confident Prediction for Time Series at UberCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time seriesCode1
Changing Fashion CulturesCode1
Multitask learning and benchmarking with clinical time series dataCode1
Modeling Long- and Short-Term Temporal Patterns with Deep Neural NetworksCode1
Soft-DTW: a Differentiable Loss Function for Time-SeriesCode1
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data ProcessingCode1
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsCode1
On the adoption of abductive reasoning for time series interpretationCode1
Recurrent Neural Networks for Multivariate Time Series with Missing ValuesCode1
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICACode1
Convolutional Radio Modulation Recognition NetworksCode1
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly BenchmarkCode1
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All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified