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 1951–1960 of 6748 papers

Title	Date	Tasks	Status
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases	May 5, 2021	Time SeriesTime Series Analysis	—Unverified
Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model	Aug 3, 2017	Time SeriesTime Series Analysis	—Unverified
A Review of Open Source Software Tools for Time Series Analysis	Mar 10, 2022	Anomaly DetectionTime Series	—Unverified
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving	Jul 5, 2021	Anomaly DetectionTime Series	—Unverified
Detecting Gas Vapor Leaks Using Uncalibrated Sensors	Aug 20, 2019	Time SeriesTime Series Analysis	—Unverified
Detecting Handwritten Mathematical Terms with Sensor Based Data	Sep 12, 2021	Time SeriesTime Series Analysis	—Unverified
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data	Dec 4, 2019	Ordinal ClassificationTime Series	—Unverified
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models	Mar 11, 2018	Additive modelsModel Selection	—Unverified
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning	Nov 12, 2019	BIG-bench Machine LearningSurvival Prediction	—Unverified
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation	Jun 24, 2021	BIG-bench Machine LearningTime 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