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 2701–2750 of 6748 papers

TitleStatusHype
Coronavirus (COVID-19): ARIMA based time-series analysis to forecast near future—0
Predictive Modeling of Coronal Hole Areas Using Long Short-Term Memory Networks—0
A Statistical Machine Learning Approach to Yield Curve Forecasting—0
Coresets for Time Series Clustering—0
Coresets for k-Segmentation of Streaming Data—0
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems—0
Coresets for Kernel Regression—0
Core Network Management Procedures for Self-Organized and Sustainable 5G Cellular Networks—0
Non-stationary GARCH modelling for fitting higher order moments of financial series within moving time windows—0
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification—0
A State-Space Approach to Dynamic Nonnegative Matrix Factorization—0
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions—0
A CNN–LSTM model for gold price time-series forecasting—0
Copy the dynamics using a learning machine—0
A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements—0
Coordinating users of shared facilities via data-driven predictive assistants and game theory—0
Asset volatility forecasting:The optimal decay parameter in the EWMA model—0
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification—0
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis—0
Asset Pricing with General Transaction Costs: Theory and Numerics—0
Convolution, attention and structure embedding—0
Asset Pricing and Deep Learning—0
An Adaptive Framework for Generalizing Network Traffic Prediction towards Uncertain Environments—0
Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to River State Estimation—0
Convolutional Sequence Modeling Revisited—0
Asset correlation estimation for inhomogeneous exposure pools—0
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series—0
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series—0
Assessment of electrical and infrastructure recovery in Puerto Rico following hurricane Maria using a multisource time series of satellite imagery—0
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing—0
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation—0
Assessing the Potential of AI for Spatially Sensitive Nature-Related Financial Risks—0
An Active Learning Framework with a Class Balancing Strategy for Time Series Classification—0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data—0
A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time—0
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints—0
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance—0
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations—0
Assessing the effect of advertising expenditures upon sales: a Bayesian structural time series model—0
An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter—0
Convergence of GANs Training: A Game and Stochastic Control Methodology—0
Controlling False Discovery Rates under Cross-Sectional Correlations—0
Assessing Social License to Operate from the Public Discourse on Social Media—0
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels—0
Controlled time series generation for automotive software-in-the-loop testing using GANs—0
Assessing Lower Limb Strength using Internet-of-Things Enabled Chair—0
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles—0
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning—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