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 3251–3260 of 6748 papers

Title	Date	Tasks	Status
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability	Mar 24, 2021	Anomaly DetectionTime Series	—Unverified
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector	Apr 25, 2017	DiversityTime Series	—Unverified
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction	Feb 9, 2024	Time SeriesTime Series Analysis	—Unverified
Increasing Server Availability for Overall System Security: A Preventive Maintenance Approach Based on Failure Prediction	Jan 21, 2014	ManagementTime Series	—Unverified
Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models	Nov 18, 2016	speech-recognitionSpeech Recognition	—Unverified
Independence clustering (without a matrix)	Mar 20, 2017	ClusteringTime Series	—Unverified
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process	Jun 19, 2020	Time SeriesTime Series Analysis	—Unverified
Indexing the Event Calculus with Kd-trees to Monitor Diabetes	Oct 3, 2017	Time SeriesTime Series Analysis	—Unverified
Indian Economy and Nighttime Lights	Jan 27, 2021	Time SeriesTime Series Analysis	—Unverified
Elucidation of time-dependent systems biology cell response patterns with time course network enrichment	Oct 27, 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