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 3201–3225 of 6748 papers

TitleStatusHype
Sequential convolutional network for behavioral pattern extraction in gait recognition—0
Time Series Forecasting via Learning Convolutionally Low-Rank ModelsCode0
A Feature Selection Method for Multi-Dimension Time-Series Data—0
Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities—0
Time series analysis with dynamic law exploration—0
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes—0
Survey on Modeling Intensity Function of Hawkes Process Using Neural Models—0
Real-time NLOS/LOS Identification for Smartphone-based Indoor Positioning System using WiFi RTT and RSS—0
Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation—0
Aedes-AI: Neural Network Models of Mosquito Abundance—0
A windowed correlation based feature selection method to improve time series prediction of dengue fever cases—0
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes—0
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows—0
Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series—0
Winterization of Texan power system infrastructure is profitable but risky—0
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations—0
A geometric approach to conditioning belief functions—0
Modeling biological networks: from single gene systems to large microbial communities—0
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks—0
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series—0
Interpreting intermediate convolutional layers of generative CNNs trained on waveforms—0
Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model—0
Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement—0
Recursive input and state estimation: A general framework for learning from time series with missing data—0
Viking: Variational Bayesian Variance Tracking—0
Show:102550
← PrevPage 129 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