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 421–430 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Adjusting for Autocorrelated Errors in Neural Networks for Time Series	Jan 28, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Highly comparative time-series analysis: The empirical structure of time series and their methods	Apr 3, 2013	Time SeriesTime Series Analysis	CodeCode Available	1	5
HIVE-COTE 2.0: a new meta ensemble for time series classification	Apr 15, 2021	General ClassificationTime Series	CodeCode Available	1	5
Deep Semi-Supervised Learning for Time Series Classification	Feb 6, 2021	ClassificationData Augmentation	CodeCode Available	1	5
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1	5
An efficient aggregation method for the symbolic representation of temporal data	Jan 14, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1	5
Conditional GAN for timeseries generation	Jun 30, 2020	Generative Adversarial NetworkTime Series	CodeCode Available	1	5
Conditional Sig-Wasserstein GANs for Time Series Generation	Jun 9, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
HYDRA: Competing convolutional kernels for fast and accurate time series classification	Mar 25, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales	Apr 9, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	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