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 3901–3925 of 6748 papers

TitleStatusHype
Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series—0
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting—0
Travel time prediction for congested freeways with a dynamic linear model—0
A Review of Wind Speed and Wind Power Forecasting Techniques—0
Weak error rates for option pricing under linear rough volatilityCode0
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales—0
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform—0
The Computational Capacity of LRC, Memristive and Hybrid Reservoirs—0
Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time—0
Effects of Correlated Noise on the Performance of Persistence Based Dynamic State Detection Methods—0
Benchmarking adversarial attacks and defenses for time-series data—0
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression—0
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution LearningCode0
Fast Partial Fourier Transform—0
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition—0
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data—0
Koopman Mode Decomposition of Oscillatory Temperature Field inside a Room—0
Forecasting with Multiple SeasonalityCode0
Investigation of Flash Crash via Topological Data Analysis—0
Hybrid Deep Neural Networks to Infer State Models of Black-Box SystemsCode0
Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction—0
Automated Model Selection for Time-Series Anomaly Detection—0
Prediction of Hilbertian autoregressive processes : a Recurrent Neural Network approach—0
Photonic reservoir computer based on frequency multiplexing—0
Comparative Computational Analysis of Global Structure in Canonical, Non-Canonical and Non-Literary Texts—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