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 361–370 of 6748 papers

Title	Date	Tasks	Status	Hype
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series	May 4, 2022	Anomaly DetectionSelf-Supervised Learning	CodeCode Available	1
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level	May 3, 2022	Intrusion DetectionTime Series	CodeCode Available	1
Open challenges for Machine Learning based Early Decision-Making research	Apr 27, 2022	BIG-bench Machine LearningDecision Making	CodeCode Available	1
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network	Apr 26, 2022	DiagnosticTime Series	CodeCode Available	1
From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting	Apr 21, 2022	Decision MakingPrediction Intervals	CodeCode Available	1
STD: A Seasonal-Trend-Dispersion Decomposition of Time Series	Apr 21, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Scale Dependencies and Self-Similar Models with Wavelet Scattering Spectra	Apr 19, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data	Apr 14, 2022	Anomaly DetectionTime Series	CodeCode Available	1
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark	Apr 14, 2022	Short-observation new product sales forecastingTime Series Analysis	CodeCode Available	1
Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC Algorithm	Apr 11, 2022	Causal Inferencecounterfactual	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