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 1061–1070 of 6748 papers

Title	Date	Tasks	Status
Adversarially learned anomaly detection for time series data	Sep 25, 2019	Anomaly DetectionTime Series	—Unverified
An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes	Oct 20, 2016	Time SeriesTime Series Analysis	—Unverified
A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success	Dec 1, 2021	BIG-bench Machine LearningTime Series	—Unverified
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations	Sep 23, 2019	Time SeriesTime Series Analysis	—Unverified
Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning	Jun 15, 2021	ManagementTime Series	—Unverified
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning	Sep 12, 2022	ClassificationTime Series	—Unverified
Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping	Aug 5, 2019	Dynamic Time WarpingTime Series	—Unverified
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves	Aug 18, 2016	Decision MakingKidney Function	—Unverified
An Evaluation of Classification Methods for 3D Printing Time-Series Data	Oct 2, 2020	BIG-bench Machine LearningDynamic Time Warping	—Unverified
Chatter Classification in Turning Using Machine Learning and Topological Data Analysis	Mar 23, 2018	BIG-bench Machine LearningGeneral Classification	—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