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 311–320 of 6748 papers

Title	Date	Tasks	Status	Hype
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	Jul 6, 2020	Graph GenerationGraph Neural Network	CodeCode Available	1
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection	Dec 17, 2020	Malware DetectionTime Series	CodeCode Available	1
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID	Oct 13, 2022	ManagementTime Series	CodeCode Available	1
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation	Aug 21, 2020	Change Point DetectionTime Series	CodeCode Available	1
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values	Feb 21, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Color-aware two-branch DCNN for efficient plant disease classification	Jun 30, 2022	3D Object DetectionClassification	CodeCode Available	1
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1
Conditional GAN for timeseries generation	Jun 30, 2020	Generative Adversarial NetworkTime Series	CodeCode Available	1
Changing Fashion Cultures	Mar 23, 2017	Cultural Vocal Bursts Intensity PredictionTime Series	CodeCode Available	1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks	Nov 2, 2020	AstronomyFeature Engineering	CodeCode Available	1

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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