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 21–30 of 6748 papers

Title	Date	Tasks	Status	Hype
Deep Learning for Multivariate Time Series Imputation: A Survey	Feb 6, 2024	Deep LearningImputation	CodeCode Available	3
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis	Jan 16, 2024	Time SeriesTime Series Analysis	CodeCode Available	3
The Rise of Diffusion Models in Time-Series Forecasting	Jan 5, 2024	Time SeriesTime Series Analysis	CodeCode Available	3
AER: Auto-Encoder with Regression for Time Series Anomaly Detection	Dec 27, 2022	Anomaly DetectionBenchmarking	CodeCode Available	3
Greykite: Deploying Flexible Forecasting at Scale at LinkedIn	Jul 15, 2022	Anomaly DetectionTime Series	CodeCode Available	3
Plotly-Resampler: Effective Visual Analytics for Large Time Series	Jun 17, 2022	Data VisualizationTime Series	CodeCode Available	3
Time-series Transformer Generative Adversarial Networks	May 23, 2022	Question AnsweringTime Series	CodeCode Available	3
Sintel: A Machine Learning Framework to Extract Insights from Signals	Apr 19, 2022	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	3
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series	Feb 16, 2022	Anomaly DetectionDensity Estimation	CodeCode Available	3
Datasets: A Community Library for Natural Language Processing	Sep 7, 2021	Image ClassificationObject Recognition	CodeCode Available	3

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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