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 2651–2700 of 6748 papers

TitleStatusHype
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining—0
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms—0
COVID-19 infection and recovery in various countries: Modeling the dynamics and evaluating the non-pharmaceutical mitigation scenarios—0
Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent—0
A Survey of Feature Types and Their Contributions for Camera Tampering Detection—0
Analysis of Advisor Portfolio using Multivariate Time Series and Cosine Similarity—0
A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines—0
COVID-19 Hospitalizations Forecasts Using Internet Search Data—0
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning—0
Time Series Analysis and Modeling to Forecast: a Survey—0
Modeling Macroeconomic Variations After COVID-19—0
CoVaR with volatility clustering, heavy tails and non-linear dependence—0
A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach—0
Covariance shrinkage for autocorrelated data—0
A Study of Joint Graph Inference and Forecasting—0
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
Covariance-engaged Classification of Sets via Linear Programming—0
Coupled Recurrent Models for Polyphonic Music Composition—0
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction—0
A Study of Aggregation of Long Time-series Input for LSTM Neural Networks—0
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach—0
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy—0
CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier—0
Cough Detection Using Hidden Markov Models—0
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer—0
Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package—0
Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification—0
A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task—0
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study—0
A Stochastic Time Series Model for Predicting Financial Trends using NLP—0
Cost-Effective Bad Synchrophasor Data Detection Based on Unsupervised Time Series Data Analytics—0
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread—0
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves—0
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms—0
A Bayesian approach for structure learning in oscillating regulatory networks—0
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization—0
Capturing Evolution Genes for Time Series Data—0
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce—0
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia—0
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data—0
Correlations and Flow of Information between The New York Times and Stock Markets—0
A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process—0
Correlation Based Feature Subset Selection for Multivariate Time-Series Data—0
An anomaly prediction framework for financial IT systems using hybrid machine learning methods—0
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results—0
Correcting motion induced fluorescence artifacts in two-channel neural imaging—0
A statistical test of market efficiency based on information theory—0
An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation—0
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems—0
Show:102550
← PrevPage 54 of 135Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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