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 1671–1680 of 6748 papers

Title	Date	Tasks	Status	Score
Evaluating Explanation Methods for Multivariate Time Series Classification	Aug 29, 2023	ClassificationTime Series	CodeCode Available	5
Fast Online Deconvolution of Calcium Imaging Data	Mar 16, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities	Nov 18, 2022	Computational EfficiencyHumanitarian	CodeCode Available	5
Efficient Certified Training and Robustness Verification of Neural ODEs	Mar 9, 2023	Time SeriesTime Series Analysis	CodeCode Available	5
Deep Efficient Continuous Manifold Learning for Time Series Modeling	Dec 3, 2021	Action RecognitionIrregular Time Series	CodeCode Available	5
Random Pairwise Shapelets Forest	Mar 19, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Efficient Covariance Estimation from Temporal Data	May 30, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Rapid training of quantum recurrent neural networks	Jul 1, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Attaining entropy production and dissipation maps from Brownian movies via neural networks	Jun 29, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
EasyMLServe: Easy Deployment of REST Machine Learning Services	Nov 26, 2022	Instance SegmentationSemantic Segmentation	CodeCode Available	5

Show:10 25 50

← PrevPage 168 of 675Next →

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