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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1651–1700 of 6748 papers

TitleStatusHype
Data-driven Residual Generation for Early Fault Detection with Limited Data—0
Data-driven soiling detection in PV modules—0
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining—0
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach—0
Data-Driven Time Series Reconstruction for Modern Power Systems Research—0
Data Exploration and Validation on dense knowledge graphs for biomedical research—0
Data-Folding and Hyperspace Coding for Multi-Dimensonal Time-Series Data Imaging—0
Deep Recurrent Modelling of Granger Causality with Latent Confounding—0
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting—0
Data manipulation detection via permutation information theory quantifiers—0
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification—0
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics—0
Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection—0
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis—0
A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification—0
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets—0
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison—0
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling—0
Day-ahead time series forecasting: application to capacity planning—0
Day Level Forecasting for Coronavirus Disease (COVID-19) Spread: Analysis, Modeling and Recommendations—0
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data—0
Arm order recognition in multi-armed bandit problem with laser chaos time series—0
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition—0
DDPG based on multi-scale strokes for financial time series trading strategy—0
A minor extension of the logistic equation for growth of word counts on online media: Parametric description of diversity of growth phenomena in society—0
Decentralized Flood Forecasting Using Deep Neural Networks—0
Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks—0
Decision-Aware Conditional GANs for Time Series Data—0
Decoding Causality by Fictitious VAR Modeling—0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
Decoding Financial Health in Kenyas' Medical Insurance Sector: A Data-Driven Cluster Analysis—0
An Attention Free Long Short-Term Memory for Time Series Forecasting—0
Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models—0
Decoding of visual-related information from the human EEG using an end-to-end deep learning approach—0
Computer activity learning from system call time series—0
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
Compressive Nonparametric Graphical Model Selection For Time Series—0
Comprehensive Time-Series Regression Models Using GRETL -- U.S. GDP and Government Consumption Expenditures & Gross Investment from 1980 to 2013—0
Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks—0
Decomposition of Time Series Data of Stock Markets and its Implications for Prediction: An Application for the Indian Auto Sector—0
A metric to compare the anatomy variation between image time series—0
Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition—0
A Data-Driven Approach for Predicting Vegetation-Related Outages in Power Distribution Systems—0
Comprehensive Review of Neural Differential Equations for Time Series Analysis—0
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions—0
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework—0
Accurate shape and phase averaging of time series through Dynamic Time Warping—0
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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