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 2901–2925 of 6748 papers

TitleStatusHype
Generating Student Feedback from Time-Series Data Using Reinforcement Learning—0
Generating Trading Signals by ML algorithms or time series ones?—0
Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset—0
Generation of Synthetic Multi-Resolution Time Series Load Data—0
Generative adversarial network based on chaotic time series—0
Construction of neural networks for realization of localized deep learning—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination—0
Generative Adversarial Networks for Spatio-temporal Data: A Survey—0
Generative Adversarial Networks in finance: an overview—0
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks—0
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models—0
Generative Modeling of Hidden Functional Brain Networks—0
Generative modeling of spatio-temporal weather patterns with extreme event conditioning—0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation—0
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community—0
Generative Pre-Trained Transformer for Cardiac Abnormality Detection—0
A novel health risk model based on intraday physical activity time series collected by smartphones—0
Generative Time-series Modeling with Fourier Flows—0
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications—0
Gene Regulatory Network Inference with Latent Force Models—0
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving—0
Generic Variance Bounds on Estimation and Prediction Errors in Time Series Analysis: An Entropy Perspective—0
A Signal Detection Scheme Based on Deep Learning in OFDM Systems—0
Energy Predictive Models with Limited Data using Transfer Learning—0
Show:102550
← PrevPage 117 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