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 3041–3050 of 6748 papers

Title	Date	Tasks	Status
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification	Jan 1, 2020	ClassificationDeep Learning	—Unverified
Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models	Jun 6, 2021	Bayesian InferenceModel Selection	—Unverified
Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances	Nov 8, 2019	ClusteringTime Series	—Unverified
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis	Jan 11, 2021	ClusteringTime Series	—Unverified
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series	Jul 1, 2018	State Space ModelsTime Series	—Unverified
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network	Nov 16, 2022	Graph Neural NetworkTime Series	—Unverified
Hierarchical Fisher Kernels for Longitudinal Data	Dec 1, 2008	General ClassificationTime Series	—Unverified
Causal Graph Discovery from Self and Mutually Exciting Time Series	Jan 26, 2023	Causal DiscoveryTime Series	—Unverified
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization	Feb 3, 2023	Causal DiscoveryTime Series	—Unverified
A Novel Framework for Handling Sparse Data in Traffic Forecast	Jan 12, 2023	DecoderTime Series	—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