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

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Showing 1651–1700 of 6748 papers

TitleStatusHype
MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting—0
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks—0
Public Transit Arrival Prediction: a Seq2Seq RNN Approach—0
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction—0
Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations—0
Using Entropy Measures for Monitoring the Evolution of Activity Patterns—0
Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic PredictionCode0
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features—0
Review of Clustering Methods for Functional Data—0
Grouped self-attention mechanism for a memory-efficient Transformer—0
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series ClassifiersCode0
Solar Power Time Series Forecasting Utilising Wavelet Coefficients—0
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications—0
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring—0
A Sequence-Aware Recommendation Method Based on Complex Networks—0
Fast Inference for Quantile Regression with Tens of Millions of Observations—0
A case study of spatiotemporal forecasting techniques for weather forecastingCode0
Explainable classification of astronomical uncertain time series—0
Happy or grumpy? A Machine Learning Approach to Analyze the Sentiment of Airline Passengers' Tweets—0
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary—0
Non-contrastive representation learning for intervals from well logs—0
Masked Multi-Step Multivariate Time Series Forecasting with Future Information—0
Experimental study of time series forecasting methods for groundwater level predictionCode0
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data—0
Retrieval Based Time Series Forecasting—0
Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values—0
Modeling Polyp Activity of Paragorgia arborea Using Supervised Learning—0
Myopia prediction for adolescents via time-aware deep learning—0
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness—0
Neural State-Space Modeling with Latent Causal-Effect DisentanglementCode0
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production—0
Asset Pricing and Deep Learning—0
Multivariate Wasserstein Functional Connectivity for Autism Screening—0
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics—0
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting—0
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions—0
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions—0
STING: Self-attention based Time-series Imputation Networks using GAN—0
Optimal Stopping with Gaussian Processes—0
StyleTime: Style Transfer for Synthetic Time Series Generation—0
Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation—0
Robust Forecasting for Robotic Control: A Game-Theoretic Approach—0
Multiscale Comparison of Nonparametric Trend Curves—0
Deep learning based sferics recognition for AMT data processing in the dead band—0
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural NetworksCode0
An Image Processing approach to identify solar plages observed at 393.37 nm by the Kodaikanal Solar ObservatoryCode0
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series—0
Contrastive Learning for Time Series on Dynamic Graphs—0
Tab2vox: CNN-Based Multivariate Multilevel Demand Forecasting Framework by Tabular-To-Voxel Image Conversion—0
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators—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