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 4831–4840 of 6748 papers

Title	Date	Tasks	Status
ACCTS: an Adaptive Model Training Policy for Continuous Classification of Time Series	Sep 29, 2021	Continual LearningTime Series	—Unverified
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data	Apr 25, 2021	Data AugmentationGeneral Classification	—Unverified
Accuracy of neural networks for the simulation of chaotic dynamics: precision of training data vs precision of the algorithm	Jul 8, 2020	Time SeriesTime Series Analysis	—Unverified
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty	Nov 5, 2022	Binary ClassificationDecision Making	—Unverified
Accurate Prediction of Global Mean Temperature through Data Transformation Techniques	Mar 11, 2023	Time SeriesTime Series Analysis	—Unverified
Accurate shape and phase averaging of time series through Dynamic Time Warping	Sep 2, 2021	Dynamic Time WarpingTime Series	—Unverified
A Cellular Automaton Model for the generation of Brainwaves	Mar 28, 2022	EEGElectroencephalogram (EEG)	—Unverified
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports	Nov 27, 2021	Time SeriesTime Series Analysis	—Unverified
A cloud-IoT platform for passive radio sensing: challenges and application case studies	Mar 26, 2021	Time SeriesTime Series Analysis	—Unverified
A Clustering Algorithm for Correlation Quickest Hub Discovery Mixing Time Evolution and Random Matrix Theory	Oct 8, 2022	Change DetectionClustering	—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