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 881–890 of 6748 papers

Title	Date	Tasks	Status	Hype
Copula Conformal Prediction for Multi-step Time Series Forecasting	Dec 6, 2022	Conformal PredictionPrediction	CodeCode Available	1
FrAug: Frequency Domain Augmentation for Time Series Forecasting	Feb 18, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1
Next Generation Reservoir Computing	Jun 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
TACTiS: Transformer-Attentional Copulas for Time Series	Feb 7, 2022	Decision MakingDecoder	CodeCode Available	1
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks	Aug 21, 2020	Anomaly DetectionTime Series	CodeCode Available	1
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting	Aug 29, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines	Jun 26, 2021	BIG-bench Machine LearningManagement	CodeCode Available	1
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution	Mar 9, 2020	AttributeKnowledge Graphs	CodeCode Available	1
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks	Jul 31, 2020	Data AugmentationGeneral Classification	CodeCode Available	1
Weak Form Generalized Hamiltonian Learning	Apr 11, 2021	FormTime 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