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 2501–2550 of 6748 papers

TitleStatusHype
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles—0
A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery—0
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data—0
Leveraging Image-based Generative Adversarial Networks for Time Series Generation—0
A Predictive Online Transient Stability Assessment with Hierarchical Generative Adversarial Networks—0
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization—0
Characterization of causal ancestral graphs for time series with latent confounders—0
Compensatory model for quantile estimation and application to VaR—0
Non-iterative Calculation of Quasi-Dynamic Energy Flow in the Heat and Electricity Integrated Energy SystemsCode0
Cryptocurrency Market Consolidation in 2020--2021—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Approximation algorithms for confidence bands for time series—0
Federated Reinforcement Learning at the Edge—0
Mathematical models of COVID-19 spread—0
Neural Multi-Quantile Forecasting for Optimal Inventory Management—0
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction—0
Autoregressive Quantile Flows for Predictive Uncertainty Estimation—0
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection—0
Measuring Wind Turbine Health Using Drifting Concepts—0
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification—0
Differentially Private K-means Clustering Applied to Meter Data Analysis and Synthesis—0
Change of persistence in European electricity spot prices—0
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention Network—0
Learning Generalized Causal Structure in Time-series—0
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor StreamsCode0
Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM)—0
Optimal activity and battery scheduling algorithm using load and solar generation forecastCode0
Online false discovery rate control for anomaly detection in time series—0
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting—0
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification—0
Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty—0
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications—0
In situ process quality monitoring and defect detection for direct metal laser melting—0
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis—0
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction—0
Deep Efficient Continuous Manifold Learning for Time Series ModelingCode0
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization—0
Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks—0
Time-Series Estimation from Randomly Time-Warped Observations—0
Complexity and Persistence of Price Time Series of the European Electricity Spot Market—0
Hydroclimatic time series features at multiple time scales—0
Online Search With Best-Price and Query-Based PredictionsCode0
A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success—0
Probabilistic Forecasting: A Level-Set Approach—0
Convergence of GANs Training: A Game and Stochastic Control Methodology—0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
Probabilistic Transformer For Time Series Analysis—0
Change Point Detection via Multivariate Singular Spectrum Analysis—0
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea—0
SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification—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