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 151–175 of 6748 papers

TitleStatusHype
Counterfactual Explanations for Machine Learning on Multivariate Time Series DataCode1
Anomaly Detection of Wind Turbine Time Series using Variational Recurrent AutoencodersCode1
Conformal prediction set for time-seriesCode1
Conditional GAN for timeseries generationCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Conditional Sig-Wasserstein GANs for Time Series GenerationCode1
Conformal Time-series ForecastingCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
Exathlon: A Benchmark for Explainable Anomaly Detection over Time SeriesCode1
Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategyCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Closed-Form Diffeomorphic Transformations for Time Series AlignmentCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
The Signature Kernel is the solution of a Goursat PDECode1
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural NetworksCode1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural NetworksCode1
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural NetworksCode1
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware DetectionCode1
An Experimental Review on Deep Learning Architectures for Time Series ForecastingCode1
Classification of Long Sequential Data using Circular Dilated Convolutional Neural NetworksCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
A Neural PDE Solver with Temporal Stencil ModelingCode1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
An Evaluation of Change Point Detection AlgorithmsCode1
An Empirical Survey of Data Augmentation for Time Series Classification with Neural NetworksCode1
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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