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 1551–1600 of 6748 papers

TitleStatusHype
Change point detection for graphical models in the presence of missing valuesCode0
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasksCode0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Event Detection via Probability Density Function RegressionCode0
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver BehaviourCode0
Evaluating Short-Term Forecasting of Multiple Time Series in IoT EnvironmentsCode0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
A Subspace Method for Time Series Anomaly Detection in Cyber-Physical SystemsCode0
Evaluating time series forecasting models: An empirical study on performance estimation methodsCode0
Change of human mobility during COVID-19: A United States case studyCode0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costsCode0
Explaining Deep Classification of Time-Series Data with Learned PrototypesCode0
Evaluating data augmentation for financial time series classificationCode0
Challenges in detecting evolutionary forces in language change using diachronic corporaCode0
Evaluating Explanation Methods for Multivariate Time Series ClassificationCode0
EuroGames16: Evaluating Change Detection in Online ConversationCode0
Evaluating generation of chaotic time series by convolutional generative adversarial networksCode0
Central object segmentation by deep learning for fruits and other roundish objectsCode0
Estimation of Large Covariance and Precision Matrices from Temporally Dependent ObservationsCode0
Estimating Vector Fields from Noisy Time SeriesCode0
Community recovery in non-binary and temporal stochastic block modelsCode0
Evaluating Impact of Social Media Posts by Executives on Stock PricesCode0
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart ChairCode0
Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with TrendCode0
A hybrid method of Exponential Smoothing and Recurrent Neural Networks for time series forecastingCode0
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series ImputationCode0
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for CzechiaCode0
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian MutationCode0
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series DataCode0
CCMI : Classifier based Conditional Mutual Information EstimationCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noiseCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time SignalsCode0
Cross-modal Knowledge Distillation for Vision-to-Sensor Action RecognitionCode0
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilityCode0
Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian ProcessesCode0
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time SeriesCode0
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman FilterCode0
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized ModelsCode0
EnK: Encoding time-information in convolutionCode0
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programmingCode0
Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation AnalysisCode0
Patch LearningCode0
Enhancing Time Series Momentum Strategies Using Deep Neural NetworksCode0
Ensemble Sales Forecasting Study in Semiconductor IndustryCode0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
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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