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 26–50 of 6748 papers

TitleStatusHype
Plotly-Resampler: Effective Visual Analytics for Large Time SeriesCode3
Time-series Transformer Generative Adversarial NetworksCode3
Sintel: A Machine Learning Framework to Extract Insights from SignalsCode3
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time SeriesCode3
Datasets: A Community Library for Natural Language ProcessingCode3
"Hey, that's not an ODE": Faster ODE Adjoints via SeminormsCode3
Applications of Deep Neural Networks with KerasCode3
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series ForecastingCode3
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernelsCode3
GluonTS: Probabilistic Time Series Models in PythonCode3
Probabilistic Forecasting with Temporal Convolutional Neural NetworkCode3
N-BEATS: Neural basis expansion analysis for interpretable time series forecastingCode3
Adversarial Robustness Toolbox v1.0.0Code3
Time Series Classification from Scratch with Deep Neural Networks: A Strong BaselineCode3
Multi-modal Time Series Analysis: A Tutorial and SurveyCode2
How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and OutlookCode2
Harnessing Vision Models for Time Series Analysis: A SurveyCode2
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual DataCode2
SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity RecognitionCode2
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series AnalysisCode2
ViTime: A Visual Intelligence-Based Foundation Model for Time Series ForecastingCode2
Time-MMD: Multi-Domain Multimodal Dataset for Time Series AnalysisCode2
Vision Mamba: A Comprehensive Survey and TaxonomyCode2
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language ModelCode2
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
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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