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 2201–2225 of 6748 papers

TitleStatusHype
Theory of Acceleration of Decision Making by Correlated Time Sequences—0
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning—0
Economic state classification and portfolio optimisation with application to stagflationary environments—0
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction—0
Cointegration of SARS-CoV-2 Transmission with Weather Conditions and Mobility during the First Year of the COVID-19 Pandemic in the United States—0
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis—0
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional NetworksCode0
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesCode0
A Cellular Automaton Model for the generation of Brainwaves—0
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan RegionCode0
Enhancing Transformer Efficiency for Multivariate Time Series Classification—0
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning—0
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development—0
Using Multiple Instance Learning for Explainable Solar Flare PredictionCode0
Rough volatility: fact or artefact?—0
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference—0
A platform for causal knowledge representation and inference in industrial fault diagnosis based on cubic DUCG—0
Wind speed forecast using random forest learning method—0
A Deep Learning Approach to Probabilistic Forecasting of WeatherCode0
Muscle Vision: Real Time Keypoint Based Pose Classification of Physical Exercises—0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
Bubble Prediction of Non-Fungible Tokens (NFTs): An Empirical InvestigationCode0
Prediction Algorithm for Heat Demand of Science and Technology Topics Based on Time Convolution Network—0
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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