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 2061–2070 of 6748 papers

Title	Date	Tasks	Status
Comparing Lexical Usage in Political Discourse across Diachronic Corpora	May 1, 2020	Additive modelsTime Series	—Unverified
Comparative Study of Machine Learning Models for Stock Price Prediction	Jan 31, 2022	BIG-bench Machine LearningStock Price Prediction	—Unverified
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition	Aug 16, 2011	Time SeriesTime Series Analysis	—Unverified
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models	Mar 10, 2020	PredictionTime Series	—Unverified
Early Classification for Agricultural Monitoring from Satellite Time Series	Aug 27, 2019	ClassificationEarly Classification	—Unverified
Comparative Computational Analysis of Global Structure in Canonical, Non-Canonical and Non-Literary Texts	Aug 25, 2020	POSSentence	—Unverified
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction	Jul 3, 2022	energy managementGaussian Processes	—Unverified
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach	Aug 9, 2020	Time SeriesTime Series Analysis	—Unverified
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak	Feb 11, 2021	BIG-bench Machine LearningDecision Making	—Unverified
A restricted eigenvalue condition for unit-root non-stationary data	Aug 27, 2022	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