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 1761–1770 of 6748 papers

Title	Date	Tasks	Status
Deep Hedging, Generative Adversarial Networks, and Beyond	Mar 5, 2021	Time SeriesTime Series Analysis	—Unverified
Autoencoding Time Series for Visualisation	May 5, 2015	Time SeriesTime Series Analysis	—Unverified
Complex-valued Gaussian Process Regression for Time Series Analysis	Nov 30, 2016	regressionTime Series	—Unverified
A review on distance based time series classification	Jun 12, 2018	ClassificationGeneral Classification	—Unverified
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking	Feb 10, 2023	BenchmarkingDeep Learning	—Unverified
Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection	Nov 27, 2021	Anomaly DetectionDecoder	—Unverified
A Data-Driven Approach for Modeling Stochasticity in Oil Market	Apr 24, 2018	Time SeriesTime Series Analysis	—Unverified
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks	Dec 8, 2020	BIG-bench Machine LearningExplainable Artificial Intelligence (XAI)	—Unverified
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis	Feb 22, 2025	Decision MakingDemand Forecasting	—Unverified
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models	Jan 6, 2021	Demand ForecastingManagement	—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