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 1511–1520 of 6748 papers

Title	Date	Tasks	Status	Score
Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments	Jun 15, 2022	Decision MakingTime 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
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs	Feb 25, 2022	SchedulingTime Series	CodeCode Available	5
Evaluating Impact of Social Media Posts by Executives on Stock Prices	Nov 1, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Order book model with herd behavior exhibiting long-range memory	Sep 8, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
COPER: Continuous Patient State Perceiver	Aug 5, 2022	Irregular Time SeriesMortality Prediction	CodeCode Available	5
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification	Nov 29, 2021	BIG-bench Machine LearningPrivacy Preserving	CodeCode Available	5
Evaluating Explanation Methods for Multivariate Time Series Classification	Aug 29, 2023	ClassificationTime Series	CodeCode Available	5
Evaluating generation of chaotic time series by convolutional generative adversarial networks	May 26, 2023	Generative Adversarial NetworkTime Series	CodeCode Available	5
Evolving-Graph Gaussian Processes	Jun 29, 2021	Gaussian Processesregression	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