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 1041–1050 of 6748 papers

Title	Date	Tasks	Status	Score
Highly Scalable and Provably Accurate Classification in Poincare Balls	Sep 8, 2021	ClassificationTime Series Analysis	CodeCode Available	5
Homological Time Series Analysis of Sensor Signals from Power Plants	Jun 3, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past	Mar 11, 2022	regressionTime Series	CodeCode Available	5
ISLAND: Interpolating Land Surface Temperature using land cover	Sep 21, 2023	BlockingTime Series Analysis	CodeCode Available	5
Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments	Jan 14, 2025	Time Series Analysis	CodeCode Available	5
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction	Jun 2, 2018	PredictionTime Series	CodeCode Available	5
Hide-and-Seek Privacy Challenge	Jul 23, 2020	De-identificationSynthetic Data Generation	CodeCode Available	5
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios	Jun 29, 2022	State Space ModelsTime Series	CodeCode Available	5
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation	Sep 25, 2019	blind source separationTime Series	CodeCode Available	5
Adversarial Attacks on Deep Neural Networks for Time Series Classification	Mar 17, 2019	Activity RecognitionAdversarial Attack	CodeCode Available	5

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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