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 6551–6575 of 6748 papers

TitleStatusHype
Monotonic Gaussian Process FlowCode0
Monte Carlo EM for Deep Time Series Anomaly DetectionCode0
A user-driven case-based reasoning tool for infilling missing values in daily mean river flow recordsCode0
Evaluating Impact of Social Media Posts by Executives on Stock PricesCode0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
Signature-based models: theory and calibrationCode0
Mosaic organization of DNA nucleotidesCode0
Evaluating generation of chaotic time series by convolutional generative adversarial networksCode0
Deep Generative Networks For Sequence PredictionCode0
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time WarpingCode0
Temporal Convolutional Neural Network for the Classification of Satellite Image Time SeriesCode0
Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State InformationCode0
A Distance for HMMs based on Aggregated Wasserstein Metric and State RegistrationCode0
Evaluating Explanation Methods for Multivariate Time Series ClassificationCode0
Evaluating data augmentation for financial time series classificationCode0
Classification of multivariate weakly-labelled time-series with attentionCode0
Time Series Forecasting Using LSTM Networks: A Symbolic ApproachCode0
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical AnalysisCode0
Similarity-based Feature Extraction for Large-scale Sparse Traffic ForecastingCode0
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange ResidualCode0
Classification and Feature Transformation with Fuzzy Cognitive MapsCode0
EuroGames16: Evaluating Change Detection in Online ConversationCode0
Community recovery in non-binary and temporal stochastic block modelsCode0
Estimation of Large Covariance and Precision Matrices from Temporally Dependent ObservationsCode0
Estimating Vector Fields from Noisy Time SeriesCode0
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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