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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 1201–1250 of 6748 papers

TitleStatusHype
Generative Optimization Networks for Memory Efficient Data GenerationCode0
Generating Sparse Counterfactual Explanations For Multivariate Time SeriesCode0
A signature-based machine learning model for bipolar disorder and borderline personality disorderCode0
Generative Adversarial Network for Future Hand Segmentation from Egocentric VideoCode0
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open QuestionsCode0
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time SeriesCode0
Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting SystemCode0
Generating Reliable Process Event Streams and Time Series Data based on Neural NetworksCode0
A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 caseCode0
GENDIS: GENetic DIscovery of ShapeletsCode0
General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in DrosophilaCode0
A Multi-Horizon Quantile Recurrent ForecasterCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal DataCode0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
Gated Res2Net for Multivariate Time Series AnalysisCode0
Geodesic Density Regression for Correcting 4DCT Pulmonary Respiratory Motion ArtifactsCode0
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence FunctionsCode0
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart HomesCode0
As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learningCode0
Sequence Prediction using Spectral RNNsCode0
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classificationCode0
Structured Recognition for Generative Models with Explaining AwayCode0
Fully Neural Network based Model for General Temporal Point ProcessesCode0
Machine learning with neural networksCode0
Forecasting with Multiple SeasonalityCode0
Forecasting the Leading Indicator of a Recession: The 10-Year minus 3-Month Treasury Yield SpreadCode0
Accurate Uncertainties for Deep Learning Using Calibrated RegressionCode0
Forecasting Time Series With Complex Seasonal Patterns Using Exponential SmoothingCode0
Forecasting Precipitable Water Vapor Using LSTMsCode0
A Model of the Fed's View on InflationCode0
A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant informationCode0
Forecasting new diseases in low-data settings using transfer learningCode0
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time WarpingCode0
Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering ApproachCode0
FNetAR: Mixing Tokens with Autoregressive Fourier TransformsCode0
Forecasting Algorithms for Causal Inference with Panel DataCode0
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality PredictionCode0
Flipped Classroom: Effective Teaching for Time Series ForecastingCode0
Multimodal Transformer for Unaligned Multimodal Language SequencesCode0
Coordination Event Detection and Initiator Identification in Time Series DataCode0
Flow-based Spatio-Temporal Structured Prediction of Motion DynamicsCode0
Forecasting and Granger Modelling with Non-linear Dynamical DependenciesCode0
A Data Cube of Big Satellite Image Time-Series for Agriculture MonitoringCode0
A Review of the Long Horizon Forecasting Problem in Time Series AnalysisCode0
AdaRNN: Adaptive Learning and Forecasting of Time SeriesCode0
A Review of Network Inference Techniques for Neural Activation Time SeriesCode0
Fitting stochastic predator-prey models using both population density and kill rate dataCode0
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variablesCode0
fETSmcs: Feature-based ETS model component selectionCode0
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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