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 1491–1500 of 6748 papers

Title	Date	Tasks	Status	Score
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs	Feb 25, 2022	SchedulingTime Series	CodeCode Available	5
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification	Aug 9, 2019	General ClassificationHeart Rate Variability	CodeCode Available	5
Evolving-Graph Gaussian Processes	Jun 29, 2021	Gaussian Processesregression	CodeCode Available	5
Exoplanet Detection using Machine Learning	Nov 28, 2020	BIG-bench Machine LearningTime Series Analysis	CodeCode Available	5
An accuracy-runtime trade-off comparison of scalable Gaussian process approximations for spatial data	Jan 20, 2025	Gaussian Processesparameter estimation	CodeCode Available	5
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data	Jul 6, 2021	Change Point DetectionData Augmentation	CodeCode Available	5
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour	Jan 31, 2023	Autonomous DrivingCausal Discovery	CodeCode Available	5
Memory-Gated Recurrent Networks	Dec 24, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
A Joint-Entropy Approach To Time-series Classification	Mar 11, 2022	ClassificationTime Series	CodeCode Available	5
Evaluating time series forecasting models: An empirical study on performance estimation methods	May 28, 2019	Time SeriesTime Series Analysis	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