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 4371–4380 of 6748 papers

Title	Date	Tasks	Status
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
In situ process quality monitoring and defect detection for direct metal laser melting	Dec 3, 2021	Defect DetectionFault Detection	—Unverified
Inspection of methods of empirical mode decomposition	Aug 29, 2019	Time SeriesTime Series Analysis	—Unverified
Instance Explainable Temporal Network For Multivariate Timeseries	May 26, 2020	ClassificationGeneral Classification	—Unverified
Instantaneous Modelling and Reverse Engineering of DataConsistent Prime Models in Seconds!	Nov 11, 2015	parameter estimationTime Series	—Unverified
NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education	Aug 17, 2022	Causal DiscoverySelection bias	—Unverified
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware	Jun 1, 2017	Computational EfficiencyTime Series	—Unverified
Integrated Fault Diagnosis and Control Design for DER Inverters using Machine Learning Methods	Feb 21, 2022	BIG-bench Machine LearningFault Detection	—Unverified
Integrated information and dimensionality in continuous attractor dynamics	Jan 20, 2017	Time 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