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 1381–1390 of 6748 papers

Title	Date	Tasks	Status	Score
Data-driven approach in a compartmental epidemic model to assess undocumented infections	Jan 10, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models	Apr 4, 2025	Time SeriesTime Series Analysis	CodeCode Available	5
A Review of the Long Horizon Forecasting Problem in Time Series Analysis	Jun 15, 2025	Multivariate Time Series ForecastingTime Series	CodeCode Available	5
Complex Gated Recurrent Neural Networks	Jun 21, 2018	Human motion predictionmotion prediction	CodeCode Available	5
A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring	May 16, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returns	Jun 26, 2015	Time SeriesTime Series Analysis	CodeCode Available	5
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series	Mar 7, 2024	Anomaly DetectionDimensionality Reduction	CodeCode Available	5
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers	Oct 2, 2022	Pose EstimationPose Tracking	CodeCode Available	5
Classification of Time-Series Images Using Deep Convolutional Neural Networks	Oct 2, 2017	ClassificationGeneral Classification	CodeCode Available	5
Classification of Time-Series Data Using Boosted Decision Trees	Oct 1, 2021	Autonomous DrivingClassification	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