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 1071–1080 of 6748 papers

Title	Date	Tasks	Status	Score
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction	Jun 2, 2018	PredictionTime Series	CodeCode Available	5
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation	Sep 25, 2019	blind source separationTime Series	CodeCode Available	5
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction	Nov 15, 2022	Graph EmbeddingPrediction	CodeCode Available	5
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury	Aug 13, 2022	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	CodeCode Available	5
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping	May 25, 2020	Domain AdaptationManagement	CodeCode Available	5
An Empirical Analysis of how Internet Access Influences Public Opinion towards Undocumented Immigrants and Unaccompanied Children	Sep 28, 2021	Time Series Analysisvalid	CodeCode Available	5
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios	Jun 29, 2022	State Space ModelsTime Series	CodeCode Available	5
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps	Nov 13, 2022	CPUTime Series	CodeCode Available	5
Implementing spectral methods for hidden Markov models with real-valued emissions	Apr 29, 2014	parameter estimationTime Series	CodeCode Available	5
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction	Apr 7, 2017	Time SeriesTime Series Analysis	CodeCode Available	5

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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