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 1161–1170 of 6748 papers

Title	Date	Tasks	Status	Score
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series	Apr 29, 2025	Decision MakingPhotoplethysmography (PPG)	CodeCode Available	5
A Subspace Method for Time Series Anomaly Detection in Cyber-Physical Systems	May 20, 2022	Anomaly DetectionTime Series	CodeCode Available	5
GENDIS: GENetic DIscovery of Shapelets	Sep 13, 2019	Outlier DetectionTime Series	CodeCode Available	5
General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in Drosophila	May 30, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
A deep learning architecture to detect events in EEG signals during sleep	Jul 11, 2018	EEGElectroencephalogram (EEG)	CodeCode Available	5
General Domain Adaptation Through Proportional Progressive Pseudo Labeling	Dec 23, 2020	Anomaly DetectionDomain Adaptation	CodeCode Available	5
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions	Sep 30, 2019	Synthetic Data GenerationTime Series	CodeCode Available	5
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention	Dec 7, 2024	ECG ClassificationTime Series	CodeCode Available	5
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data	Jul 22, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes	Dec 1, 2020	Activity RecognitionGeneral Classification	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