SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 6748 papers

TitleStatusHype
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic PredictionCode1
catch22: CAnonical Time-series CHaracteristicsCode1
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecastingCode1
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-LevelCode1
Highly comparative time-series analysis: The empirical structure of time series and their methodsCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Anytime-valid off-policy inference for contextual banditsCode1
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural NetworksCode1
On the difficulty of learning chaotic dynamics with RNNsCode1
Causal Forecasting:Generalization Bounds for Autoregressive ModelsCode1
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-valuesCode1
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
Combating Distribution Shift for Accurate Time Series Forecasting via HypernetworksCode1
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical ImagesCode1
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome PredictionCode1
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant RepresentationCode1
Improving Medical Predictions by Irregular Multimodal Electronic Health Records ModelingCode1
Improving Position Encoding of Transformers for Multivariate Time Series ClassificationCode1
Changing Fashion CulturesCode1
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load ForecastingCode1
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor dataCode1
Data-driven discovery of intrinsic dynamicsCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
ClaSP -- Parameter-free Time Series SegmentationCode1
Ensemble Conformalized Quantile Regression for Probabilistic Time Series ForecastingCode1
Show:102550
← PrevPage 25 of 270Next →
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