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 1111–1120 of 6748 papers

Title	Date	Tasks	Status
A projected nonlinear state-space model for forecasting time series signals	Nov 22, 2023	BenchmarkingComputational Efficiency	CodeCode Available
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria	Nov 21, 2023	Computational EfficiencyTime Series	—Unverified
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia	Nov 13, 2023	AutoMLTime Series	CodeCode Available
Time Scale Network: A Shallow Neural Network For Time Series Data	Nov 10, 2023	EEGSeizure prediction	—Unverified
On the Opportunities of Green Computing: A Survey	Nov 1, 2023	FairnessSpeech Synthesis	—Unverified
Raising the ClaSS of Streaming Time Series Segmentation	Oct 31, 2023	Change Point DetectionSegmentation	CodeCode Available
A Systematic Review for Transformer-based Long-term Series Forecasting	Oct 31, 2023	Time SeriesTime Series Analysis	—Unverified
Triple Simplex Matrix Completion for Expense Forecasting	Oct 23, 2023	Matrix CompletionTime Series	—Unverified
Unveiling Early Warning Signals of Systemic Risks in Banks: A Recurrence Network-Based Approach	Oct 16, 2023	Time SeriesTime Series Analysis	—Unverified
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs	Oct 11, 2023	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