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 1341–1350 of 6748 papers

Title	Date	Tasks	Status
Context-specific kernel-based hidden Markov model for time series analysis	Jan 24, 2023	Density EstimationTime Series	CodeCode Available
Neuronal architecture extracts statistical temporal patterns	Jan 24, 2023	Time SeriesTime Series Analysis	CodeCode Available
A Framework for Evaluating the Impact of Food Security Scenarios	Jan 23, 2023	Decision MakingTime Series	—Unverified
ECGAN: Self-supervised generative adversarial network for electrocardiography	Jan 23, 2023	Audio SynthesisDiversity	—Unverified
Learning Reservoir Dynamics with Temporal Self-Modulation	Jan 23, 2023	Time SeriesTime Series Analysis	—Unverified
LSTM and CNN application for core-collapse supernova search in gravitational wave real data	Jan 23, 2023	ClassificationMulti-Label Classification	—Unverified
Chemical Integration of ODEs using Idealized Abstract Solutions	Jan 23, 2023	Time SeriesTime Series Analysis	CodeCode Available
Flexible conditional density estimation for time series	Jan 23, 2023	Density Estimationregression	—Unverified
Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks	Jan 21, 2023	Time SeriesTime Series Analysis	—Unverified
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making	Jan 21, 2023	Decision MakingSequential Decision Making	CodeCode Available

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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