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

Showing 65016550 of 6748 papers

TitleStatusHype
Low-dimensional Models in Spatio-Temporal Wind Speed Forecasting0
Telling cause from effect in deterministic linear dynamical systems0
Signal Processing on Graphs: Causal Modeling of Unstructured Data0
Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes0
Contour map of estimation error for Expected Shortfall0
Real time clustering of time series using triangular potentials0
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets0
Generalized Gradient Learning on Time Series under Elastic Transformations0
Exploring Transfer Function Nonlinearity in Echo State Networks0
Variable and Fixed Interval Exponential Smoothing0
Dependent Matérn Processes for Multivariate Time Series0
Product Reservoir Computing: Time-Series Computation with Multiplicative Neurons0
Detrended Partial-Cross-Correlation Analysis: A New Method for Analyzing Correlations in Complex SystemCode0
An Ordinal Pattern Approach to Detect and to Model Leverage Effects and Dependence Structures Between Financial Time Series0
Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution0
Particle swarm optimization for time series motif discovery0
The Western Africa Ebola virus disease epidemic exhibits both global exponential and local polynomial growth rates0
The search for candidate relevant subsets of variables in complex systems0
A novel spectral method for inferring general diploid selection from time series genetic data0
Data manipulation detection via permutation information theory quantifiers0
Spatiotemporal clustering, climate periodicity, and social-ecological risk factors for dengue during an outbreak in Machala, Ecuador, in 20100
Efficiently Discovering Frequent Motifs in Large-scale Sensor Data0
An Empirical Study of the L2-Boost technique with Echo State Networks0
Reasoning for Improved Sensor Data Interpretation in a Smart Home0
Generative Modeling of Hidden Functional Brain Networks0
Variational Recurrent Auto-EncodersCode1
Reverse Engineering Chemical Reaction Networks from Time Series Data0
Pooled Motion Features for First-Person VideosCode0
ANN Model to Predict Stock Prices at Stock Exchange Markets0
High Dimensional Forecasting via Interpretable Vector Autoregression0
Estimation of Large Covariance and Precision Matrices from Temporally Dependent ObservationsCode0
Machine Learning for Neuroimaging with Scikit-LearnCode0
Subspace based low rank and joint sparse matrix recovery0
Highly comparative fetal heart rate analysis0
On-line Summarization of Time-series Documents using a Graph-based Algorithm0
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells""0
Analysis of Brain States from Multi-Region LFP Time-Series0
Covariance shrinkage for autocorrelated data0
Tree-structured Gaussian Process Approximations0
Multi-scale Graphical Models for Spatio-Temporal Processes0
Learning convolution filters for inverse covariance estimation of neural network connectivity0
Coresets for k-Segmentation of Streaming Data0
How to monitor and mitigate stair-casing in l1 trend filtering0
An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in RCode0
Clustering evolving data using kernel-based methods0
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components0
Statistically Significant Detection of Linguistic Change0
A Short Image Series Based Scheme for Time Series Digital Image Correlation0
Fast Function to Function Regression0
Multiple Output Regression with Latent Noise0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified