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 15011550 of 6748 papers

TitleStatusHype
Fast and Robust Online Inference with Stochastic Gradient Descent via Random ScalingCode0
Fast and Accurate Time Series Classification with WEASELCode0
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series ClassifiersCode0
Fast Online Deconvolution of Calcium Imaging DataCode0
Factor-augmented tree ensemblesCode0
Extracting Relationships by Multi-Domain MatchingCode0
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classificationCode0
Factor-Driven Two-Regime RegressionCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
A Joint-Entropy Approach To Time-series ClassificationCode0
Exploring Interpretable LSTM Neural Networks over Multi-Variable DataCode0
Fairness in Forecasting of Observations of Linear Dynamical SystemsCode0
Concurrent Neural Network : A model of competition between times seriesCode0
Modelling stellar activity with Gaussian process regression networksCode0
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series PredictionCode0
COPER: Continuous Patient State PerceiverCode0
Explainable time series tweaking via irreversible and reversible temporal transformationsCode0
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flowCode0
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large ModelsCode0
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural NetworksCode0
Order book model with herd behavior exhibiting long-range memoryCode0
Exoplanet Detection using Machine LearningCode0
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costsCode0
Evolving-Graph Gaussian ProcessesCode0
Experimental study of time series forecasting methods for groundwater level predictionCode0
Explaining Deep Classification of Time-Series Data with Learned PrototypesCode0
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
Evaluating Short-Term Forecasting of Multiple Time Series in IoT EnvironmentsCode0
Evaluating Impact of Social Media Posts by Executives on Stock PricesCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver BehaviourCode0
Evaluating data augmentation for financial time series classificationCode0
Multimodal Estimation of Change Points of Physiological Arousal in DriversCode0
Evaluating Explanation Methods for Multivariate Time Series ClassificationCode0
Change-Point Detection in Time-Series Data by Relative Density-Ratio EstimationCode0
EuroGames16: Evaluating Change Detection in Online ConversationCode0
Evaluating generation of chaotic time series by convolutional generative adversarial networksCode0
Evaluating time series forecasting models: An empirical study on performance estimation methodsCode0
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPsCode0
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial ForensicsCode0
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
Estimation of Large Covariance and Precision Matrices from Temporally Dependent ObservationsCode0
Community recovery in non-binary and temporal stochastic block modelsCode0
Estimating Vector Fields from Noisy Time SeriesCode0
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noiseCode0
Multi-Task Neural ProcessesCode0
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
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for CzechiaCode0
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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