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 2261–2270 of 6748 papers

Title	Date	Tasks	Status
CLARE-GAN: GENERATION OF CLASS-SPECIFIC TIME SERIES	Jan 1, 2021	Time SeriesTime Series Analysis	—Unverified
A posteriori Trading-inspired Model-free Time Series Segmentation	Dec 16, 2019	Computational EfficiencyTime Series	—Unverified
Estimating the Algorithmic Complexity of Stock Markets	Apr 16, 2015	Time SeriesTime Series Analysis	—Unverified
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint	Apr 25, 2018	Graph GenerationTime Series	—Unverified
Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction	May 8, 2022	Graph Neural NetworkPrediction	—Unverified
Circulant Singular Spectrum Analysis: A new automated procedure for signal extraction	Mar 28, 2020	Time SeriesTime Series Analysis	—Unverified
Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning	Jun 15, 2021	ManagementTime Series	—Unverified
A point process approach for the classification of noisy calcium imaging data	Sep 16, 2024	Time Series Analysis	—Unverified
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods	Nov 20, 2022	Benchmarkingregression	—Unverified
Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach	Mar 11, 2021	Causal InferenceEconometrics	—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