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 651–660 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals	Nov 23, 2020	Explainable ModelsGeneral Classification	CodeCode Available	1	5
Light curve completion and forecasting using fast and scalable Gaussian processes (MuyGPs)	Aug 31, 2022	Gaussian ProcessesPose Estimation	CodeCode Available	1	5
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge	Jan 24, 2023	GPUimage-classification	CodeCode Available	1	5
Explaining Time Series Predictions with Dynamic Masks	Jun 9, 2021	BIG-bench Machine LearningFeature Importance	CodeCode Available	1	5
Neural graphical modelling in continuous-time: consistency guarantees and algorithms	May 6, 2021	Causal DiscoveryGraph Learning	CodeCode Available	1	5
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks	May 24, 2020	Graph LearningGraph Neural Network	CodeCode Available	1	5
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction	Mar 31, 2020	Spatio-Temporal ForecastingTime Series	CodeCode Available	1	5
Local Evaluation of Time Series Anomaly Detection Algorithms	Jun 27, 2022	Anomaly DetectionTime Series	CodeCode Available	1	5
Long Expressive Memory for Sequence Modeling	Oct 10, 2021	Language ModelingLanguage Modelling	CodeCode Available	1	5
Active multi-fidelity Bayesian online changepoint detection	Mar 26, 2021	Edge-computingTime Series	CodeCode Available	1	5

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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