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 3321–3330 of 6748 papers

Title	Date	Tasks	Status
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting	Aug 15, 2013	PredictionTime Series	—Unverified
Data manipulation detection via permutation information theory quantifiers	Jan 16, 2015	Time SeriesTime Series Analysis	—Unverified
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case	Nov 10, 2022	Deep Reinforcement LearningManagement	—Unverified
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance	Feb 25, 2023	Load ForecastingOut-of-Distribution Generalization	—Unverified
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics	Nov 11, 2022	Time SeriesTime Series Analysis	—Unverified
Causal analysis of Covid-19 Spread in Germany	Dec 1, 2020	feature selectionTime Series	—Unverified
In Situ 3D Spatiotemporal Measurement of Soluble Biomarkers in Organoid Culture	Sep 2, 2022	Cultural Vocal Bursts Intensity PredictionTime Series Analysis	—Unverified
In-situ animal behavior classification using knowledge distillation and fixed-point quantization	Sep 9, 2022	ClassificationKnowledge Distillation	—Unverified
Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method	Jun 20, 2016	DiversityGeneral Classification	—Unverified
Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic	Nov 24, 2021	regressionTime 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