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 431–440 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Neural graphical modelling in continuous-time: consistency guarantees and algorithms	May 6, 2021	Causal DiscoveryGraph Learning	CodeCode Available	1	5
Insights into LSTM Fully Convolutional Networks for Time Series Classification	Feb 27, 2019	ClassificationGeneral Classification	CodeCode Available	1	5
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction	Sep 4, 2021	Time Series Analysis	CodeCode Available	1	5
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	Mar 4, 2018	Audio SynthesisLanguage Modelling	CodeCode Available	1	5
Integrated multimodal artificial intelligence framework for healthcare applications	Feb 25, 2022	Time Series Analysis	CodeCode Available	1	5
Integrating LSTMs and GNNs for COVID-19 Forecasting	Jul 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
An Empirical Evaluation of Time-Series Feature Sets	Oct 21, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models	Nov 14, 2022	ECG ClassificationState Space Models	CodeCode Available	1	5
An Empirical Framework for Domain Generalization in Clinical Settings	Mar 20, 2021	Domain GeneralizationTime Series	CodeCode Available	1	5
Differentiable Compositional Kernel Learning for Gaussian Processes	Jun 12, 2018	Bayesian OptimizationGaussian Processes	CodeCode Available	1	5

Show:10 25 50

← PrevPage 44 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