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 981–990 of 6748 papers

Title	Date	Tasks	Status
Bayesian LSTMs in medicine	Jun 5, 2017	BIG-bench Machine LearningDeep Learning	—Unverified
Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings	Jun 19, 2017	EEGElectroencephalogram (EEG)	—Unverified
Causality based Feature Fusion for Brain Neuro-Developmental Analysis	Jan 22, 2020	Functional ConnectivityTime Series Analysis	—Unverified
Aedes-AI: Neural Network Models of Mosquito Abundance	Apr 21, 2021	Time SeriesTime Series Analysis	—Unverified
Bayesian nonparametric shared multi-sequence time series segmentation	Jan 27, 2020	SegmentationTime Series	—Unverified
Bayesian nonparametric sparse VAR models	Oct 29, 2018	ClusteringTime Series	—Unverified
Affine and Regional Dynamic Time Warpng	May 25, 2015	Dynamic Time WarpingTime Series	—Unverified
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting	Sep 25, 2020	Demand ForecastingGraph Neural Network	—Unverified
Bayesian Online Change Point Detection for Baseline Shifts	Jan 7, 2022	Change Point DetectionTime Series	—Unverified
AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree	Dec 13, 2022	ClusteringOutlier Detection	—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