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 961–970 of 6748 papers

Title	Date	Tasks	Status
Cats & Co: Categorical Time Series Coclustering	May 6, 2015	ClusteringModel Selection	—Unverified
Causal Consistency of Structural Equation Models	Jul 4, 2017	Time SeriesTime Series Analysis	—Unverified
ANFIS-based prediction of power generation for combined cycle power plant	Oct 7, 2022	Time SeriesTime Series Analysis	—Unverified
Independence Testing for Temporal Data	Aug 18, 2019	Time SeriesTime Series Analysis	—Unverified
Bag of Recurrence Patterns Representation for Time-Series Classification	Mar 29, 2018	ClassificationGeneral Classification	—Unverified
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition	Oct 24, 2016	Decision MakingTime Series	—Unverified
Bandwidth-efficient distributed neural network architectures with application to body sensor networks	Oct 14, 2022	ClassificationEEG	—Unverified
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?	Sep 7, 2017	Time SeriesTime Series Analysis	—Unverified
Impulse data models for the inverse problem of electrocardiography	Feb 1, 2021	Time Series Analysis	—Unverified
Aedes-AI: Neural Network Models of Mosquito Abundance	Apr 21, 2021	Time SeriesTime Series Analysis	—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