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 1571–1580 of 6748 papers

Title	Date	Tasks	Status
Denoising neural networks for magnetic resonance spectroscopy	Oct 31, 2022	Deep LearningDenoising	—Unverified
Variational Inference Aided Estimation of Time Varying Channels	Oct 31, 2022	Time SeriesTime Series Analysis	—Unverified
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs	Oct 31, 2022	Time SeriesTime Series Analysis	—Unverified
AtOMICS: A neural network-based Automated Optomechanical Intelligent Coupling System for testing and characterization of silicon photonics chiplets	Oct 30, 2022	Time SeriesTime Series Analysis	—Unverified
Uncertainty-DTW for Time Series and Sequences	Oct 30, 2022	Action RecognitionDynamic Time Warping	CodeCode Available
Monitoring the Dynamic Networks of Stock Returns	Oct 29, 2022	ClusteringTime Series	—Unverified
Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution	Oct 29, 2022	Decision MakingFuture prediction	—Unverified
Multimodal Estimation of Change Points of Physiological Arousal in Drivers	Oct 28, 2022	Time SeriesTime Series Analysis	CodeCode Available
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems	Oct 28, 2022	Fault DiagnosisTime Series Analysis	—Unverified
Adaptive Estimation of Graphical Models under Total Positivity	Oct 27, 2022	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