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 1211–1220 of 6748 papers

Title	Date	Tasks	Status
A transformer-based model for default prediction in mid-cap corporate markets	Nov 18, 2021	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	—Unverified
A Bayesian Ensemble for Unsupervised Anomaly Detection	Oct 24, 2016	Anomaly DetectionClustering	—Unverified
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism	Aug 21, 2019	Time Series Analysis	—Unverified
A Transformer-based Deep Learning Algorithm to Auto-record Undocumented Clinical One-Lung Ventilation Events	Feb 16, 2023	Time SeriesTime Series Analysis	—Unverified
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions	Aug 2, 2021	Time SeriesTime Series Analysis	—Unverified
A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification	Jun 21, 2022	Time SeriesTime Series Analysis	—Unverified
A Trainable Reconciliation Method for Hierarchical Time-Series	Jan 5, 2021	DecoderDemand Forecasting	—Unverified
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout	Nov 27, 2022	Anomaly DetectionTime Series	—Unverified
A Direct Estimation of High Dimensional Stationary Vector Autoregressions	Jul 1, 2013	parameter estimationTime Series	—Unverified
Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models	Sep 14, 2019	Time SeriesTime Series Analysis	—Unverified

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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