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 3581–3590 of 6748 papers

Title	Date	Tasks	Status
Random Fragments Classification of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm	Apr 19, 2019	General ClassificationTime Series	—Unverified
Randomized kernels for large scale Earth observation applications	Dec 7, 2020	ClassificationEarth Observation	—Unverified
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality	Jul 4, 2021	Time SeriesTime Series Analysis	—Unverified
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics	Jan 2, 2022	LEMMATime Series	—Unverified
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series	Sep 12, 2024	DiversityEnsemble Learning	—Unverified
Random matrix approach to estimation of high-dimensional factor models	Nov 23, 2017	Dimensionality ReductionTime Series	—Unverified
Random pattern and frequency generation using a photonic reservoir computer with output feedback	Dec 19, 2020	Time SeriesTime Series Analysis	—Unverified
Random Projection Filter Bank for Time Series Data	Dec 1, 2017	Time SeriesTime Series Analysis	—Unverified
Random selection of factors preserves the correlation structure in a linear factor model to a high degree	Dec 22, 2018	Time SeriesTime Series Analysis	—Unverified
Random Similarity Forests	Apr 11, 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