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 111–120 of 6748 papers

Title	Date	Tasks	Status	Hype
A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting	Jun 20, 2020	Time SeriesTime Series Analysis	CodeCode Available	2
Liquid Time-constant Networks	Jun 8, 2020	Time SeriesTime Series Analysis	CodeCode Available	2
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey	Apr 21, 2020	BIG-bench Machine LearningDeep Learning	CodeCode Available	2
TSFEL: Time Series Feature Extraction Library	Mar 21, 2020	Feature EngineeringTime Series	CodeCode Available	2
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows	Feb 14, 2020	Decision MakingMultivariate Time Series Forecasting	CodeCode Available	2
AR-Net: A simple Auto-Regressive Neural Network for time-series	Nov 27, 2019	Time SeriesTime Series Analysis	CodeCode Available	2
Bayesian Temporal Factorization for Multidimensional Time Series Prediction	Oct 14, 2019	ImputationMissing Values	CodeCode Available	2
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting	Jun 29, 2019	Time SeriesTime Series Analysis	CodeCode Available	2
Deep learning for time series classification: a review	Sep 12, 2018	Deep LearningGeneral Classification	CodeCode Available	2
Optimal Transport for structured data with application on graphs	May 23, 2018	ClusteringGraph Classification	CodeCode Available	2

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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