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 3401–3425 of 6748 papers

TitleStatusHype
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach—0
Short-term load forecasting using optimized LSTM networks based on EMD—0
Short-Term Memory Convolutions—0
Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting—0
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models—0
Short-term prediction of stream turbidity using surrogate data and a meta-model approach—0
Short-term prediction of Time Series based on bounding techniques—0
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks—0
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study—0
Short-Term Stock Price-Trend Prediction Using Meta-Learning—0
Short-term time series prediction using Hilbert space embeddings of autoregressive processes—0
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework—0
Short-Term Traffic Forecasting Using High-Resolution Traffic Data—0
Short-term Wind Speed Forecasting based on LSSVM Optimized by Elitist QPSO—0
Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models—0
Short- to Mid-term Day-Ahead Electricity Price Forecasting Using Futures—0
Should we Reload Time Series Classification Performance Evaluation ? (a position paper)—0
Show Me Your Account: Detecting MMORPG Game Bot Leveraging Financial Analysis with LSTM—0
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data—0
Signal automata and hidden Markov models—0
Signal Classification using Smooth Coefficients of Multiple wavelets—0
Signal Fluctuation Sensitivity: an improved metric for optimizing detection of resting-state fMRI networks—0
Signal Processing on Graphs: Causal Modeling of Unstructured Data—0
Signal processing on simplicial complexes—0
Signal Restoration and Channel Estimation for Channel Sounding with SDRs—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