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 871–880 of 6748 papers

Title	Date	Tasks	Status	Hype
Benchmark time series data sets for PyTorch -- the torchtime package	Jul 25, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
STD: A Seasonal-Trend-Dispersion Decomposition of Time Series	Apr 21, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network	May 20, 2020	Generative Adversarial NetworkSuper-Resolution	CodeCode Available	1
Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network	Feb 27, 2023	PredictionStock Market Prediction	CodeCode Available	1
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm	Sep 9, 2022	ClusteringClustering Algorithms Evaluation	CodeCode Available	1
An Empirical Evaluation of Time-Series Feature Sets	Oct 21, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models	Nov 14, 2022	ECG ClassificationState Space Models	CodeCode Available	1
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks	Jan 6, 2022	Audio ClassificationClassification	CodeCode Available	1
An Empirical Framework for Domain Generalization in Clinical Settings	Mar 20, 2021	Domain GeneralizationTime Series	CodeCode Available	1
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets	Sep 28, 2021	ClassificationTime Series	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