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

Showing 11511175 of 6748 papers

TitleStatusHype
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series DataCode0
Gradient-free training of recurrent neural networksCode0
Graph Edit NetworksCode0
Global Models for Time Series Forecasting: A Simulation StudyCode0
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time WarpingCode0
Geodesic Density Regression for Correcting 4DCT Pulmonary Respiratory Motion ArtifactsCode0
Graph Gamma Process Generalized Linear Dynamical SystemsCode0
Generating Sparse Counterfactual Explanations For Multivariate Time SeriesCode0
Generative Adversarial Network for Future Hand Segmentation from Egocentric VideoCode0
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open QuestionsCode0
Generating Reliable Process Event Streams and Time Series Data based on Neural NetworksCode0
A Subspace Method for Time Series Anomaly Detection in Cyber-Physical SystemsCode0
Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting SystemCode0
A deep learning architecture to detect events in EEG signals during sleepCode0
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time SeriesCode0
GENDIS: GENetic DIscovery of ShapeletsCode0
General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in DrosophilaCode0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal DataCode0
A Deep Learning Approach to Probabilistic Forecasting of WeatherCode0
Gated Res2Net for Multivariate Time Series AnalysisCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
Generative Optimization Networks for Memory Efficient Data GenerationCode0
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time seriesCode0
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Benchmark Results

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