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 3876–3900 of 6748 papers

TitleStatusHype
Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent—0
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge AggregationCode0
Accelerated solving of coupled, non-linear ODEs through LSTM-AI—0
RF-Based Low-SNR Classification of UAVs Using Convolutional Neural Networks—0
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps—0
Machine Learning for Temporal Data in Finance: Challenges and Opportunities—0
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data—0
Factor-Driven Two-Regime RegressionCode0
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series—0
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case—0
Forecasting financial markets with semantic network analysis in the COVID-19 crisis—0
Deep learning for gravitational-wave data analysis: A resampling white-box approachCode0
Linear Temporal Public Announcement Logic: a new perspective for reasoning about the knowledge of multi-classifiers—0
Multivariable times series classification through an interpretable representation—0
Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People—0
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting—0
Deep Learning, Predictability, and Optimal Portfolio Returns—0
Forecasting the Leading Indicator of a Recession: The 10-Year minus 3-Month Treasury Yield SpreadCode0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
Spatio-Temporal Activation Function To Map Complex Dynamical Systems—0
COVID-19: Tail Risk and Predictive Regressions—0
Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing—0
Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile—0
A Robust Score-Driven Filter for Multivariate Time Series—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