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 5101–5150 of 6748 papers

TitleStatusHype
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
An Estimation of Online Video User Engagement from Features of Continuous Emotions—0
A network-based transfer learning approach to improve sales forecasting of new products—0
An Euler-based GAN for time series—0
A Neural Implementation of the Kalman Filter—0
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices—0
A Neural Stochastic Volatility Model—0
An Evaluation of Classification and Outlier Detection Algorithms—0
An Evaluation of Classification Methods for 3D Printing Time-Series Data—0
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning—0
An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes—0
A new approach for physiological time series—0
A new approach to the modeling of financial volumes—0
A New Look to Three-Factor Fama-French Regression Model using Sample Innovations—0
A new measure between sets of probability distributions with applications to erratic financial behavior—0
Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19—0
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs—0
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain—0
A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting—0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification—0
An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System—0
An Experimental Evaluation of Nearest Neighbour Time Series Classification—0
An Explainer for Temporal Graph Neural Networks—0
The leverage effect and other stylized facts displayed by Bitcoin returns—0
ANFIS-based prediction of power generation for combined cycle power plant—0
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks—0
Animal behavior classification via deep learning on embedded systems—0
An improved LogNNet classifier for IoT application—0
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System—0
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection—0
An Improved Online Penalty Parameter Selection Procedure for _1-Penalized Autoregressive with Exogenous Variables—0
An Improvement of PAA on Trend-Based Approximation for Time Series—0
An Incremental Boolean Tensor Factorization approach to model Change Patterns of Objects in Images—0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems—0
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development—0
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series—0
GeoStat Representations of Time Series for Fast Classification—0
An interpretable LSTM neural network for autoregressive exogenous model—0
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data—0
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference—0
An Introductory Study on Time Series Modeling and Forecasting—0
An investigation of higher order moments of empirical financial data and the implications to risk—0
An Investigation of the Structural Characteristics of the Indian IT Sector and the Capital Goods Sector: An Application of the R Programming in Time Series Decomposition and Forecasting—0
An L0-Norm Constrained Non-Negative Matrix Factorization Algorithm for the Simultaneous Disaggregation of Fixed and Shiftable Loads—0
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation—0
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic—0
ANN Model to Predict Stock Prices at Stock Exchange Markets—0
Anomalous volatility scaling in high frequency financial data—0
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—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