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 3691–3700 of 6748 papers

Title	Date	Tasks	Status
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series	Feb 10, 2020	Missing ValuesRepresentation Learning	—Unverified
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model	Nov 1, 2018	Language ModelingLanguage Modelling	—Unverified
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series	Apr 5, 2020	Anomaly DetectionIntrusion Detection	—Unverified
RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers	Jul 18, 2022	Anomaly DetectionDiagnostic	—Unverified
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models	Dec 1, 2010	Point ProcessesTime Series	—Unverified
Research and application of time series algorithms in centralized purchasing data	Nov 1, 2019	ClusteringMarketing	—Unverified
Research of an optimization model for servicing a network of ATMs and information payment terminals	Oct 18, 2022	ManagementTime Series Analysis	—Unverified
Breaking Symmetries of the Reservoir Equations in Echo State Networks	Sep 21, 2020	Time SeriesTime Series Analysis	—Unverified
Reservoir computing based on solitary-like waves dynamics of film flows: a proof of concept	Mar 3, 2023	Time SeriesTime Series Analysis	—Unverified
Reservoir Computing on the Hypersphere	Jun 24, 2017	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