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 1551–1600 of 6748 papers

TitleStatusHype
A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow—0
A Study of Joint Graph Inference and Forecasting—0
CoVaR with volatility clustering, heavy tails and non-linear dependence—0
Modeling Macroeconomic Variations After COVID-19—0
Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution—0
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics—0
Time Series Analysis and Modeling to Forecast: a Survey—0
COVID-19 Hospitalizations Forecasts Using Internet Search Data—0
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning—0
COVID-19 infection and recovery in various countries: Modeling the dynamics and evaluating the non-pharmaceutical mitigation scenarios—0
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition—0
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining—0
COVID-19 forecasting using new viral variants and vaccination effectiveness models—0
COVID-19: Tail Risk and Predictive Regressions—0
Learning low-dimensional state embeddings and metastable clusters from time series data—0
COVID-19: The extraction of the effective reproduction number from the time series of new cases—0
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide—0
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution—0
Creating cloud-free satellite imagery from image time series with deep learning—0
Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data—0
Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation—0
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting—0
Critical Transitions in Intensive Care Units: A Sepsis Case Study—0
ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram—0
A Model Combining Convolutional Neural Network and LightGBM Algorithm for Ultra-Short-Term Wind Power Forecasting—0
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework—0
Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery—0
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning—0
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis—0
Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Cross-Frequency Time Series Meta-Forecasting—0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior—0
Crossmatching variable objects with the Gaia data—0
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition—0
Cross-Modal Data Programming Enables Rapid Medical Machine Learning—0
Analysis of cyclical behavior in time series of stock market returns—0
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data—0
Cross-Modal Virtual Sensing for Combustion Instability Monitoring—0
Asymptotic nonparametric statistical analysis of stationary time series—0
Deep Learning based Covert Attack Identification for Industrial Control Systems—0
Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package—0
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images—0
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach—0
Deep Learning for Satellite Image Time Series Analysis: A Review—0
Cryptocurrency Market Consolidation in 2020--2021—0
Cryptocurrency portfolio optimization with multivariate normal tempered stable processes and Foster-Hart risk—0
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis—0
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations—0
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets—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