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 2871–2880 of 6748 papers

Title	Date	Tasks	Status
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network	Jan 28, 2023	Graph Neural NetworkTime Series	—Unverified
GDGRU-DTA: Predicting Drug-Target Binding Affinity Based on GNN and Double GRU	Apr 25, 2022	Time SeriesTime Series Analysis	—Unverified
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality	Oct 29, 2018	Causal InferenceRelation	—Unverified
GenAD: General Representations of Multivariate Time Series for Anomaly Detection	Jan 1, 2021	Anomaly DetectionManagement	—Unverified
A Self-Supervised Framework for Function Learning and Extrapolation	Jun 14, 2021	Inductive BiasTime Series	—Unverified
AMP: a new time-frequency feature extraction method for intermittent time-series data	Jul 20, 2015	ClusteringTime Series	—Unverified
A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network	Dec 7, 2020	Time SeriesTime Series Analysis	—Unverified
General Hannan and Quinn Criterion for Common Time Series	Jan 11, 2021	Model SelectionTime Series	—Unverified
Bayesian Neural Networks for Macroeconomic Analysis	Nov 9, 2022	Time SeriesTime Series Analysis	—Unverified
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning	May 17, 2019	reinforcement-learningReinforcement Learning	—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