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 1811–1820 of 6748 papers

Title	Date	Tasks	Status	Score
A Complex Systems Approach To Feature Extraction for Chaotic Behavior Recognition	Feb 15, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Stochastic embeddings of dynamical phenomena through variational autoencoders	Oct 13, 2020	DecoderTime Series	CodeCode Available	5
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting	Nov 3, 2019	Multivariate Time Series ForecastingTime Series	CodeCode Available	5
Deep Learning Macroeconomics	Jan 31, 2022	Deep LearningEconometrics	CodeCode Available	5
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification	Mar 1, 2021	Data AugmentationDynamic Time Warping	CodeCode Available	5
Efficient learning of nonlinear prediction models with time-series privileged information	Sep 15, 2022	PredictionRepresentation Learning	CodeCode Available	5
Evaluating Explanation Methods for Multivariate Time Series Classification	Aug 29, 2023	ClassificationTime Series	CodeCode Available	5
Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural Networks	Sep 22, 2022	Anomaly DetectionImputation	CodeCode Available	5
BRITS: Bidirectional Recurrent Imputation for Time Series	May 27, 2018	General ClassificationImputation	CodeCode Available	5
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series	Mar 14, 2022	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