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 2526–2550 of 6748 papers

TitleStatusHype
A time series distance measure for efficient clustering of input output signals by their underlying dynamics—0
Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions—0
A detection analysis for temporal memory patterns at different time-scales—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators—0
A Time Series Data Analysis of Indian Commercial Dynamism—0
Data-Driven Forecast of Dengue Outbreaks in Brazil: A Critical Assessment of Climate Conditions for Different Capitals—0
Data-driven forecasting of solar irradiance—0
A Time Series Approach To Player Churn and Conversion in Videogames—0
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks—0
Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection—0
Analytics of Business Time Series Using Machine Learning and Bayesian Inference—0
A dependent partition-valued process for multitask clustering and time evolving network modelling—0
A Comparative Study of Reservoir Computing for Temporal Signal Processing—0
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport—0
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection—0
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems—0
A Time Series Analysis of Emotional Loading in Central Bank Statements—0
Data-driven Air Quality Characterisation for Urban Environments: a Case Study—0
Data Curves Clustering Using Common Patterns Detection—0
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models—0
Analysis, Online Estimation, and Validation of a Competing Virus Model—0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—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