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 2276–2300 of 6748 papers

TitleStatusHype
A plug-in graph neural network to boost temporal sensitivity in fMRI analysis—0
A platform for causal knowledge representation and inference in industrial fault diagnosis based on cubic DUCG—0
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction—0
Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model—0
Evaluating Machine Learning Models for the Fast Identification of Contingency Cases—0
A Pipeline for Graph-Based Monitoring of the Changes in the Information Space of Russian Social Media during the Lockdown—0
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs—0
Checking the Statistical Assumptions Underlying the Application of the Standard Deviation and RMS Error to Eye-Movement Time Series: A Comparison between Human and Artificial Eyes—0
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data—0
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification—0
Evaluating Preprocessing Strategies for Time Series Prediction Using Deep Learning Architectures—0
Evaluating the Robustness of Time Series Anomaly and Intrusion Detection Methods against Adversarial Attacks—0
Aphids, Ants and Ladybirds: a mathematical model predicting their population dynamics—0
Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping—0
Chatter Classification in Turning Using Machine Learning and Topological Data Analysis—0
A Kalman Filter Framework for Resolving 3D Displacement Field Time Series By Combining Multitrack Multitemporal InSAR and GNSS Horizontal Velocities—0
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS—0
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network—0
Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States—0
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers—0
Adaptive Extreme Learning Machine for Recurrent Beta-basis Function Neural Network Training—0
4D Human Body Capture from Egocentric Video via 3D Scene Grounding—0
A decomposition of book structure through ousiometric fluctuations in cumulative word-time—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