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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 801–825 of 6748 papers

TitleStatusHype
Efficient recurrent architectures through activity sparsity and sparse back-propagation through timeCode1
Heteroscedastic Temporal Variational Autoencoder For Irregular Time SeriesCode1
Generative time series models using Neural ODE in Variational AutoencodersCode1
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-SeriesCode1
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep LearningCode1
Semi-supervised Time Series Classification by Temporal Relation PredictionCode1
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical ModelCode1
SepTr: Separable Transformer for Audio Spectrogram ProcessingCode1
Generative adversarial networks in time series: A survey and taxonomyCode1
A Time-dependent SIR model for COVID-19 with Undetectable Infected PersonsCode1
Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning InfusionCode1
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series ForecastingCode1
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization ApproachCode1
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
Ensemble Conformalized Quantile Regression for Probabilistic Time Series ForecastingCode1
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor dataCode1
Ensembles of Localised Models for Time Series ForecastingCode1
Similarity Learning based Few Shot Learning for ECG Time Series ClassificationCode1
Generative ODE Modeling with Known UnknownsCode1
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting EpidemicsCode1
ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode1
Global RTK Positioning in Graphical State SpaceCode1
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease AssessmentCode1
SIRNN: A Math Library for Secure RNN InferenceCode1
A Transformer-based Framework for Multivariate Time Series Representation LearningCode1
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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