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 2276–2300 of 6748 papers

TitleStatusHype
Calculation of Sub-bands 1,2,5,6 for 64-Point Complex FFT and Its extension to N (=2^N) Point FFT—0
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction—0
Predicting the temporal dynamics of turbulent channels through deep learning—0
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting—0
Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data—0
Molecular Dynamics of Polymer-lipids in Solution from Supervised Machine Learning—0
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers—0
Path sampling of recurrent neural networks by incorporating known physics—0
Taming the Long Tail of Deep Probabilistic Forecasting—0
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory PredictionCode0
Hierarchical Linear Dynamical System for Representing Notes from Recorded Audio—0
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets—0
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting—0
Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data—0
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costsCode0
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection—0
Mental State Classification Using Multi-graph Features—0
Capturing Actionable Dynamics with Structured Latent Ordinary Differential EquationsCode0
Novel techniques for improving NNetEn entropy calculation for short and noisy time series—0
Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks—0
Sequential asset ranking in nonstationary time series—0
Predicting the impact of treatments over time with uncertainty aware neural differential equationsCode0
NeuroView-RNN: It's About Time—0
Deep Recurrent Modelling of Granger Causality with Latent Confounding—0
Simulating Network Paths with Recurrent Buffering Units—0
Show:102550
← PrevPage 92 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