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 5001–5050 of 6748 papers

TitleStatusHype
Multi-Task Time Series Forecasting With Shared Attention—0
Multi-temporal speckle reduction with self-supervised deep neural networks—0
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data—0
Multi-Time-Scale Input Approaches for Hourly-Scale Rainfall-Runoff Modeling based on Recurrent Neural Networks—0
Multi-variable LSTM neural network for autoregressive exogenous model—0
Multivariable times series classification through an interpretable representation—0
Multivariate backtests and copulas for risk evaluation—0
Multivariate Bayesian Structural Time Series Model—0
Multivariate Forecasting of Crude Oil Spot Prices using Neural Networks—0
Multivariate Functional Singular Spectrum Analysis Over Different Dimensional Domains—0
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model—0
Multivariate Multiscale Dispersion Entropy of Biomedical Times Series—0
Multivariate non-Gaussian models for financial applications—0
Multivariate Pair Trading by Volatility & Model Adaption Trade-off—0
Bayesian Feature Selection in Joint Quantile Time Series Analysis—0
Multivariate Temporal Autoencoder for Predictive Reconstruction of Deep Sequences—0
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting—0
Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks—0
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition—0
Multivariate Time Series Classification Using Spiking Neural Networks—0
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling—0
Multivariate Time Series Forecasting with Latent Graph Inference—0
Multivariate Time Series Imputation with Generative Adversarial Networks—0
Multivariate time-series modeling with generative neural networks—0
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection—0
Multivariate Wasserstein Functional Connectivity for Autism Screening—0
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition—0
Multi-view Kernel PCA for Time series Forecasting—0
Correlative Channel-Aware Fusion for Multi-View Time Series Classification—0
Multi-Year Vector Dynamic Time Warping Based Crop Mapping—0
Muscle Vision: Real Time Keypoint Based Pose Classification of Physical Exercises—0
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis—0
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction—0
Mutation frequency time series reveal complex mixtures of clones in the world-wide SARS-CoV-2 viral population—0
Mutual Information and the Edge of Chaos in Reservoir Computers—0
\#mygoal: Finding Motivations on Twitter—0
Myopia prediction for adolescents via time-aware deep learning—0
Named-Entity Based Sentiment Analysis of Nepali News Media Texts—0
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?—0
Near Optimal Heteroscedastic Regression with Symbiotic Learning—0
Near-optimal inference in adaptive linear regression—0
Necessary and sufficient conditions for causal feature selection in time series with latent common causes—0
Leverage, Endogenous Unbalanced Growth, and Asset Price Bubbles—0
Neighbor-encoder—0
Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets—0
NetRCA: An Effective Network Fault Cause Localization Algorithm—0
Network Anomaly Detection based on Tensor Decomposition—0
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case—0
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network—0
Network inference via process motifs for lagged correlation in linear stochastic processes—0
Show:102550
← PrevPage 101 of 135Next →
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