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 301–325 of 6748 papers

TitleStatusHype
Distinguishing Risk Preferences using Repeated Gambles—0
The Bayesian Context Trees State Space Model for time series modelling and forecasting—0
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization ApproachCode1
TimePool: Visually Answer "Which and When" Questions On Univariate Time Series—0
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis—0
Network Traffic Classification based on Single Flow Time Series AnalysisCode1
Forecasting, capturing and activation of carbon-dioxide (CO_2): Integration of Time Series Analysis, Machine Learning, and Material Design—0
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis—0
Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks—0
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAICode0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification—0
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionCode2
A Novel Site-Agnostic Multimodal Deep Learning Model to Identify Pro-Eating Disorder Content on Social Media—0
FITS: Modeling Time Series with 10k ParametersCode2
Exploring Spatial-Temporal Variations of Public Discourse on Social Media: A Case Study on the First Wave of the Coronavirus Pandemic in Italy—0
Multivariate Time Series Early Classification Across Channel and Time DimensionsCode0
Near Optimal Heteroscedastic Regression with Symbiotic Learning—0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States—0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsCode2
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning—0
Deep Learning for Energy Time-Series Analysis and Forecasting—0
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief PropagationCode1
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal BootstrappingCode1
Show:102550
← PrevPage 13 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