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 3021–3030 of 6748 papers

Title	Date	Tasks	Status
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?	May 29, 2025	Time SeriesTime Series Analysis	—Unverified
From Generalization Analysis to Optimization Designs for State Space Models	May 4, 2024	State Space ModelsTime Series	—Unverified
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis	Aug 2, 2022	Time SeriesTime Series Analysis	—Unverified
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble	Oct 24, 2022	Demand ForecastingLoad Forecasting	—Unverified
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning	Sep 6, 2018	AstronomyBIG-bench Machine Learning	—Unverified
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets	Feb 10, 2021	Time SeriesTime Series Analysis	—Unverified
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles	Feb 22, 2023	Bayesian OptimizationDiversity	—Unverified
Heterogeneous Relational Kernel Learning	Aug 24, 2019	Anomaly DetectionClustering	—Unverified
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers	Sep 18, 2018	General Classificationimage-classification	—Unverified
Frequency-Domain Stochastic Modeling of Stationary Bivariate or Complex-Valued Signals	Jun 25, 2013	Time SeriesTime Series Analysis	—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