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 1001–1010 of 6748 papers

Title	Date	Tasks	Status	Score
Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction	Mar 6, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting	Apr 1, 2022	Decision MakingEpidemiology	CodeCode Available	5
Autoregressive Convolutional Neural Networks for Asynchronous Time Series	Mar 12, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets	Jul 19, 2019	BenchmarkingBIG-bench Machine Learning	CodeCode Available	5
Learnable Path in Neural Controlled Differential Equations	Jan 11, 2023	DecoderIrregular Time Series	CodeCode Available	5
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics	Sep 19, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
Autonomous Deep Quality Monitoring in Streaming Environments	Jun 26, 2021	Time Series Analysis	CodeCode Available	5
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge	Jul 28, 2021	AutoMLFeature Engineering	CodeCode Available	5
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa	Jun 11, 2020	ClusteringTime Series Analysis	CodeCode Available	5
Adversarial Generation of Time-Frequency Features with application in audio synthesis	Feb 11, 2019	Audio GenerationAudio Synthesis	CodeCode Available	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