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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1681–1690 of 6748 papers

Title	Date	Tasks	Status
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production	Sep 25, 2022	Earth ObservationTime Series	—Unverified
Asset Pricing and Deep Learning	Sep 24, 2022	Deep LearningExplainable artificial intelligence	—Unverified
Multivariate Wasserstein Functional Connectivity for Autism Screening	Sep 23, 2022	Functional ConnectivityTime Series	—Unverified
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics	Sep 23, 2022	Anomaly DetectionTime Series	—Unverified
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions	Sep 23, 2022	Time SeriesTime Series Analysis	—Unverified
Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting	Sep 23, 2022	Graph Neural NetworkProduction Forecasting	—Unverified
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions	Sep 23, 2022	Computational EfficiencyTime Series	—Unverified
Deep learning based sferics recognition for AMT data processing in the dead band	Sep 22, 2022	Time SeriesTime Series Analysis	—Unverified
Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation	Sep 22, 2022	ManagementState Estimation	—Unverified
STING: Self-attention based Time-series Imputation Networks using GAN	Sep 22, 2022	ImputationMissing Values	—Unverified

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified