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 181–190 of 6748 papers

Title	Date	Tasks	Status	Hype
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies	Feb 20, 2023	Time SeriesTime Series Analysis	CodeCode Available	1
FrAug: Frequency Domain Augmentation for Time Series Forecasting	Feb 18, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data	Feb 17, 2023	Anomaly DetectionDiagnostic	CodeCode Available	1
Forecasting with Deep Learning	Feb 17, 2023	Deep LearningTime Series	CodeCode Available	1
PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement	Feb 16, 2023	Speech EnhancementTime Series	CodeCode Available	1
A Neural PDE Solver with Temporal Stencil Modeling	Feb 16, 2023	Time SeriesTime Series Analysis	CodeCode Available	1
Temporal Graph Neural Networks for Irregular Data	Feb 16, 2023	Graph Neural NetworkTime Series	CodeCode Available	1
Improved Online Conformal Prediction via Strongly Adaptive Online Learning	Feb 15, 2023	Conformal Predictionimage-classification	CodeCode Available	1
CUTS: Neural Causal Discovery from Irregular Time-Series Data	Feb 15, 2023	Causal DiscoveryGraph Neural Network	CodeCode Available	1
Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion	Feb 13, 2023	Time SeriesTime Series Analysis	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