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 1001–1010 of 6748 papers

Title	Date	Tasks	Status
A Formally Robust Time Series Distance Metric	Aug 18, 2020	ClassificationGeneral Classification	—Unverified
Behavioural Analytics: Mathematics of the Mind	Jan 7, 2025	State EstimationTime Series Analysis	—Unverified
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting	Nov 21, 2020	Feature EngineeringTime Series	—Unverified
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference	Jun 27, 2018	Bayesian InferenceTime Series	—Unverified
Benchmarking adversarial attacks and defenses for time-series data	Aug 30, 2020	Adversarial DefenseBenchmarking	—Unverified
An Explainer for Temporal Graph Neural Networks	Sep 2, 2022	Time SeriesTime Series Analysis	—Unverified
Causality based Feature Fusion for Brain Neuro-Developmental Analysis	Jan 22, 2020	Functional ConnectivityTime Series Analysis	—Unverified
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data	Dec 3, 2020	BenchmarkingInductive Bias	—Unverified
Benchmarking Multivariate Time Series Classification Algorithms	Jul 26, 2020	BenchmarkingClassification	—Unverified
A Winner-Take-All Approach to Emotional Neural Networks with Universal Approximation Property	Nov 8, 2015	AllGeneral 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