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 1201–1225 of 6748 papers

TitleStatusHype
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors—0
Attend and Diagnose: Clinical Time Series Analysis using Attention Models—0
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series—0
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction—0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China—0
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition—0
An Artificial Spiking Quantum Neuron—0
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework—0
A transformer-based model for default prediction in mid-cap corporate markets—0
A Bayesian Ensemble for Unsupervised Anomaly Detection—0
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism—0
A Transformer-based Deep Learning Algorithm to Auto-record Undocumented Clinical One-Lung Ventilation Events—0
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions—0
A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification—0
A Trainable Reconciliation Method for Hierarchical Time-Series—0
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout—0
A Direct Estimation of High Dimensional Stationary Vector Autoregressions—0
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles—0
Comparison of PCA with ICA from data distribution perspective—0
Compensatory model for quantile estimation and application to VaR—0
Comprehensive Review of Neural Differential Equations for Time Series Analysis—0
A topological analysis of cointegrated data: a Z24 Bridge case study—0
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting—0
An analysis of deep neural networks for predicting trends in time series data—0
Show:102550
← PrevPage 49 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