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 301–350 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
Forecasting, capturing and activation of carbon-dioxide (CO_2): Integration of Time Series Analysis, Machine Learning, and Material Design—0
Network Traffic Classification based on Single Flow Time Series AnalysisCode1
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
Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States—0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
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
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient EncoderCode0
Switching Autoregressive Low-rank Tensor ModelsCode0
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models—0
An OPC UA-based industrial Big Data architecture—0
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time SeriesCode2
Improving Position Encoding of Transformers for Multivariate Time Series ClassificationCode1
Evaluating generation of chaotic time series by convolutional generative adversarial networksCode0
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions—0
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise—0
Sliding Window Sum Algorithms for Deep Neural Networks—0
Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on Twitter—0
Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation—0
Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary PerspectiveCode0
Ordinal time series analysis with the R package otsfeatures—0
Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain—0
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning—0
SMPConv: Self-moving Point Representations for Continuous ConvolutionCode1
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And ForecastingCode1
The short- and long-term determinants of fertility in Uruguay—0
Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human ActivitiesCode1
UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation LearningCode1
Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning—0
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimatesCode0
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data—0
FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting—0
Show:102550
← PrevPage 7 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