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 1701–1710 of 6748 papers

Title	Date	Tasks	Status
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models	Oct 16, 2019	Deep LearningDimensionality Reduction	—Unverified
Comprehensive Review of Neural Differential Equations for Time Series Analysis	Feb 14, 2025	Time SeriesTime Series Analysis	—Unverified
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions	Nov 8, 2021	BIG-bench Machine LearningTime Series	—Unverified
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach	Jul 19, 2020	Anomaly DetectionFederated Learning	—Unverified
Accurate shape and phase averaging of time series through Dynamic Time Warping	Sep 2, 2021	Dynamic Time WarpingTime Series	—Unverified
Composition Properties of Inferential Privacy for Time-Series Data	Jul 10, 2017	Time SeriesTime Series Analysis	—Unverified
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory	Aug 24, 2022	Time SeriesTime Series Analysis	—Unverified
Deep Baseline Network for Time Series Modeling and Anomaly Detection	Sep 10, 2022	Anomaly DetectionTime Series	—Unverified
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach	Jun 6, 2016	Metric LearningPerson Re-Identification	—Unverified
A review on outlier/anomaly detection in time series data	Feb 11, 2020	Anomaly DetectionOutlier Detection	—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