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 1301–1310 of 6748 papers

Title	Date	Tasks	Status	Score
Flipped Classroom: Effective Teaching for Time Series Forecasting	Oct 17, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods	Sep 30, 2021	feature selectionTime Series	CodeCode Available	5
Feature Selection for Multivariate Time Series via Network Pruning	Feb 11, 2021	feature selectionNetwork Pruning	CodeCode Available	5
Feature engineering workflow for activity recognition from synchronized inertial measurement units	Dec 18, 2019	Activity RecognitionBIG-bench Machine Learning	CodeCode Available	5
Feature space approximation for kernel-based supervised learning	Nov 25, 2020	regressionTime Series	CodeCode Available	5
Fast Online Deconvolution of Calcium Imaging Data	Mar 16, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states	Oct 31, 2018	ClusteringTime Series	CodeCode Available	5
Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series data	Sep 13, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm	Jul 7, 2019	GPUTime Series	CodeCode Available	5
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs	Apr 12, 2018	regressionTime Series	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