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 2281–2290 of 6748 papers

Title	Date	Tasks	Status
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs	Feb 27, 2020	Ensemble LearningImputation	—Unverified
Checking the Statistical Assumptions Underlying the Application of the Standard Deviation and RMS Error to Eye-Movement Time Series: A Comparison between Human and Artificial Eyes	Feb 13, 2023	PositionTime Series	—Unverified
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data	Mar 13, 2025	Large Language ModelMath	—Unverified
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification	Oct 11, 2019	Binary ClassificationGeneral Classification	—Unverified
Evaluating conditional covariance estimates via a new targeting approach and a networks-based analysis	Feb 4, 2022	Time SeriesTime Series Analysis	—Unverified
Aphids, Ants and Ladybirds: a mathematical model predicting their population dynamics	May 13, 2019	Time Series Analysis	—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
Chatter Classification in Turning Using Machine Learning and Topological Data Analysis	Mar 23, 2018	BIG-bench Machine LearningGeneral Classification	—Unverified
A Kalman Filter Framework for Resolving 3D Displacement Field Time Series By Combining Multitrack Multitemporal InSAR and GNSS Horizontal Velocities	Mar 7, 2023	Time SeriesTime Series Analysis	—Unverified
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS	Oct 19, 2015	General ClassificationTime Series	—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