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 4551–4575 of 6748 papers

TitleStatusHype
Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances—0
Discovering Invariances in Healthcare Neural Networks—0
An Information Theory Approach on Deciding Spectroscopic Follow UpsCode0
Architectural Tricks for Deep Learning in Remote Photoplethysmography—0
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data—0
Deep Hedging: Learning to Simulate Equity Option MarketsCode0
Dynamic Time Warp Convolutional Networks—0
Seasonally-Adjusted Auto-Regression of Vector Time Series—0
Optimal Transport Based Change Point Detection and Time Series Segment Clustering—0
Novel semi-metrics for multivariate change point analysis and anomaly detection—0
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis—0
Framework for Inferring Following Strategies from Time Series of Movement DataCode0
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data—0
DSANet: Dual Self-Attention Network for Multivariate Time Series ForecastingCode0
Generalizing to unseen domains via distribution matchingCode0
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning—0
Variational Bayesian inference of hidden stochastic processes with unknown parameters—0
Decoding of visual-related information from the human EEG using an end-to-end deep learning approach—0
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data—0
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings—0
Identifying Predictive Causal Factors from News Streams—0
Research and application of time series algorithms in centralized purchasing data—0
LFZip: Lossy compression of multivariate floating-point time series data via improved predictionCode0
Detecting correlations and triangular arbitrage opportunities in the Forex by means of multifractal detrended cross-correlations analysis—0
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devicesCode0
Show:102550
← PrevPage 183 of 270Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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