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 61516200 of 6748 papers

TitleStatusHype
Streaming Variational Monte CarloCode0
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphsCode0
GENDIS: GENetic DIscovery of ShapeletsCode0
STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership PredictionCode0
Time delay estimation of traffic congestion propagation due to accidents based on statistical causalityCode0
Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety biasCode0
A Wild Bootstrap for Degenerate Kernel TestsCode0
Warped Input Gaussian Processes for Time Series ForecastingCode0
Outlier detection of vital sign trajectories from COVID-19 patientsCode0
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and AutoencodersCode0
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring ApproachCode0
Denoising Architecture for Unsupervised Anomaly Detection in Time-SeriesCode0
Bayesian Learning from Sequential Data using Gaussian Processes with Signature CovariancesCode0
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryCode0
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity RecognitionCode0
Minority Oversampling for Imbalanced Time Series ClassificationCode0
Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification ApproachCode0
Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode ClassificationCode0
SAITS: Self-Attention-based Imputation for Time SeriesCode0
LFZip: Lossy compression of multivariate floating-point time series data via improved predictionCode0
Gated Res2Net for Multivariate Time Series AnalysisCode0
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimatesCode0
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation NetworksCode0
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network MethodologyCode0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal DataCode0
Fully Neural Network based Model for General Temporal Point ProcessesCode0
Defending Black-box Skeleton-based Human Activity ClassifiersCode0
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart HomesCode0
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence FunctionsCode0
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural NetworksCode0
Type-Driven Automated Learning with LaleCode0
A Wavelet Method for Panel Models with Jump Discontinuities in the ParametersCode0
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate PredictionCode0
Linear Dynamics: Clustering without identificationCode0
Order book model with herd behavior exhibiting long-range memoryCode0
A signature-based machine learning model for bipolar disorder and borderline personality disorderCode0
DeepTFP: Mobile Time Series Data Analytics based Traffic Flow PredictionCode0
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODECode0
Parameter inference from a non-stationary unknown processCode0
Unsupervised real-time anomaly detection for streaming dataCode0
Sampling and Reconstruction of Signals on Product GraphsCode0
Deep Temporal Sigmoid Belief Networks for Sequence ModelingCode0
Structure Discovery in Nonparametric Regression through Compositional Kernel SearchCode0
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer InformationCode0
An Empirical Analysis of how Internet Access Influences Public Opinion towards Undocumented Immigrants and Unaccompanied ChildrenCode0
Sequence Prediction using Spectral RNNsCode0
Forecasting with Multiple SeasonalityCode0
Continual Learning for Human State MonitoringCode0
Structured Self-Attention Weights Encode Semantics in Sentiment AnalysisCode0
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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