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 14511500 of 6748 papers

TitleStatusHype
Adaptive-Halting Policy Network for Early ClassificationCode0
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligenceCode0
Feature engineering workflow for activity recognition from synchronized inertial measurement unitsCode0
Feature Selection for Multivariate Time Series via Network PruningCode0
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 MethodsCode0
Classification of multivariate weakly-labelled time-series with attentionCode0
Fast Online Deconvolution of Calcium Imaging DataCode0
Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series dataCode0
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of IntelligenceCode0
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEsCode0
Context-Dependent Semantic Parsing over Temporally Structured DataCode0
Applicability and interpretation of the deterministic weighted cepstral distanceCode0
Faster Retrieval with a Two-Pass Dynamic-Time-Warping Lower BoundCode0
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random FieldsCode0
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series ClassifiersCode0
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode0
Continual Learning for Human State MonitoringCode0
Fast ES-RNN: A GPU Implementation of the ES-RNN AlgorithmCode0
Classification and Feature Transformation with Fuzzy Cognitive MapsCode0
Fairness in Forecasting of Observations of Linear Dynamical SystemsCode0
Factor-augmented tree ensemblesCode0
Factor-Driven Two-Regime RegressionCode0
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural NetworksCode0
Citation Sentiment Changes AnalysisCode0
Continuous Meta-Learning without TasksCode0
Extracting Relationships by Multi-Domain MatchingCode0
Continuous-time convolutions model of event sequencesCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
An Operator Theoretic Approach for Analyzing Sequence Neural NetworksCode0
Explaining Deep Classification of Time-Series Data with Learned PrototypesCode0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records DataCode0
Explainable time series tweaking via irreversible and reversible temporal transformationsCode0
Exploring Interpretable LSTM Neural Networks over Multi-Variable DataCode0
Chemical Integration of ODEs using Idealized Abstract SolutionsCode0
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flowCode0
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series PredictionCode0
Fast and Accurate Time Series Classification with WEASELCode0
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural NetworksCode0
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costsCode0
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classificationCode0
Evolving-Graph Gaussian ProcessesCode0
Exoplanet Detection using Machine LearningCode0
An accuracy-runtime trade-off comparison of scalable Gaussian process approximations for spatial dataCode0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver BehaviourCode0
Memory-Gated Recurrent NetworksCode0
A Joint-Entropy Approach To Time-series ClassificationCode0
Evaluating time series forecasting models: An empirical study on performance estimation methodsCode0
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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