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 2091–2100 of 6748 papers

Title	Date	Tasks	Status
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data	Dec 4, 2019	Ordinal ClassificationTime Series	—Unverified
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model	Jun 25, 2021	Bayesian InferenceGaussian Processes	—Unverified
Detecting Handwritten Mathematical Terms with Sensor Based Data	Sep 12, 2021	Time SeriesTime Series Analysis	—Unverified
Detecting Gas Vapor Leaks Using Uncalibrated Sensors	Aug 20, 2019	Time SeriesTime Series Analysis	—Unverified
Bayesian inference and superstatistics to describe long memory processes of financial time series	May 10, 2021	Bayesian InferenceTime Series	—Unverified
An Improved Online Penalty Parameter Selection Procedure for _1-Penalized Autoregressive with Exogenous Variables	Oct 15, 2020	feature selectionTime 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 Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting	Nov 9, 2022	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
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network	Apr 14, 2020	Brain Computer InterfaceEEG	—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