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 2676–2700 of 6748 papers

TitleStatusHype
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 108 of 270Next →
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