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 2271–2280 of 6748 papers

Title	Date	Tasks	Status
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets	Feb 21, 2022	regressionTime Series Analysis	—Unverified
Churn prediction in online gambling	Jan 7, 2022	Binary ClassificationPrediction	—Unverified
ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer	Dec 30, 2021	Time SeriesTime Series Analysis	—Unverified
A plug-in graph neural network to boost temporal sensitivity in fMRI analysis	Jan 1, 2023	Functional ConnectivityGraph Neural Network	—Unverified
A platform for causal knowledge representation and inference in industrial fault diagnosis based on cubic DUCG	Mar 24, 2022	DiagnosticFault Diagnosis	—Unverified
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction	Dec 23, 2015	EEGElectroencephalogram (EEG)	—Unverified
Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model	Oct 20, 2016	Time SeriesTime Series Analysis	—Unverified
Estimation and Quantization of Expected Persistence Diagrams	May 11, 2021	QuantizationTime Series	—Unverified
A Pipeline for Graph-Based Monitoring of the Changes in the Information Space of Russian Social Media during the Lockdown	Oct 24, 2021	Time SeriesTime Series Analysis	—Unverified
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs	Feb 27, 2020	Ensemble LearningImputation	—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