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

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Showing 1351–1400 of 6748 papers

TitleStatusHype
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential EquationsCode0
Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal frameworkCode0
Few-shot human motion prediction for heterogeneous sensorsCode0
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent statesCode0
fETSmcs: Feature-based ETS model component selectionCode0
Clustering Based Feature Learning on Variable StarsCode0
Applying Machine Learning to Crowd-sourced Data from Earthquake DetectiveCode0
Feature space approximation for kernel-based supervised learningCode0
Feature engineering workflow for activity recognition from synchronized inertial measurement unitsCode0
Feature Selection for Multivariate Time Series via Network PruningCode0
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOpsCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 MethodsCode0
Forecasting Time Series With Complex Seasonal Patterns Using Exponential SmoothingCode0
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
Apply Artificial Neural Network to Solving Manpower Scheduling ProblemCode0
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series ClassifiersCode0
Fast and Robust Online Inference with Stochastic Gradient Descent via Random ScalingCode0
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
Fairness in Forecasting of Observations of Linear Dynamical SystemsCode0
Class-Specific Explainability for Deep Time Series ClassifiersCode0
Factor-augmented tree ensemblesCode0
Factor-Driven Two-Regime RegressionCode0
Fast and Accurate Time Series Classification with WEASELCode0
Faster Retrieval with a Two-Pass Dynamic-Time-Warping Lower BoundCode0
Algorithms for Learning Graphs in Financial MarketsCode0
A Review of Network Inference Techniques for Neural Activation Time SeriesCode0
Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processesCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
Extracting Relationships by Multi-Domain MatchingCode0
Data-driven approach in a compartmental epidemic model to assess undocumented infectionsCode0
Explaining Deep Classification of Time-Series Data with Learned PrototypesCode0
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series PredictionCode0
Complex Gated Recurrent Neural NetworksCode0
A Data Cube of Big Satellite Image Time-Series for Agriculture MonitoringCode0
Explainable time series tweaking via irreversible and reversible temporal transformationsCode0
Exploring Interpretable LSTM Neural Networks over Multi-Variable DataCode0
Fast ES-RNN: A GPU Implementation of the ES-RNN AlgorithmCode0
Classification of Time-Series Images Using Deep Convolutional Neural NetworksCode0
Classification of Time-Series Data Using Boosted Decision TreesCode0
Multimodal Transformer for Unaligned Multimodal Language SequencesCode0
Experimental study of time series forecasting methods for groundwater level predictionCode0
Inferring Density-Dependent Population Dynamics Mechanisms through Rate Disambiguation for Logistic Birth-Death ProcessesCode0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
Adaptive-Halting Policy Network for Early ClassificationCode0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligenceCode0
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shiftCode0
Exoplanet Detection using Machine LearningCode0
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large ModelsCode0
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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