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 5851–5875 of 6748 papers

TitleStatusHype
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data—0
Forecasting Player Behavioral Data and Simulating in-Game Events—0
Multifractal analysis of the time series of daily means of wind speed in complex regions—0
Indexing the Event Calculus with Kd-trees to Monitor Diabetes—0
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast TasksCode0
Classification of Time-Series Images Using Deep Convolutional Neural NetworksCode0
DeepTFP: Mobile Time Series Data Analytics based Traffic Flow PredictionCode0
Wikipedia graph mining: dynamic structure of collective memoryCode0
Comparison of PCA with ICA from data distribution perspective—0
Model-free prediction of noisy chaotic time series by deep learning—0
Learning the Exact Topology of Undirected Consensus Networks—0
Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data—0
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection—0
Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality—0
House Price Prediction Using LSTM—0
When Traffic Flow Prediction Meets Wireless Big Data Analytics—0
Feature-based time-series analysis—0
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data—0
Deep-Learnt Classification of Light CurvesCode0
A textual transform of multivariate time-series for prognostics—0
Nonnegative matrix factorization with side information for time series recovery and prediction—0
Kinetic theory and Brazilian income distribution—0
Social Style Characterization from Egocentric Photo-streams—0
A new approach to the modeling of financial volumes—0
Granger Mediation Analysis of Multiple Time Series with an Application to fMRI—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