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 621–630 of 6748 papers

Title	Date	Tasks	Status	Hype
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction	Mar 3, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	Mar 3, 2021	ClusteringTime Series	CodeCode Available	1
Missing Value Imputation on Multidimensional Time Series	Mar 2, 2021	ImputationMissing Values	CodeCode Available	1
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series	Feb 25, 2021	quantile regressionTime Series	CodeCode Available	1
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach	Feb 24, 2021	Federated LearningGenerative Adversarial Network	CodeCode Available	1
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown	Feb 21, 2021	DecoderTime Series	CodeCode Available	1
Crop mapping from image time series: deep learning with multi-scale label hierarchies	Feb 17, 2021	Crop ClassificationGeneral Classification	CodeCode Available	1
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks	Feb 16, 2021	BIG-bench Machine LearningGraph Neural Network	CodeCode Available	1
Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers	Feb 16, 2021	ImputationMissing Values	CodeCode Available	1
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series	Feb 15, 2021	ImputationTime Series	CodeCode Available	1

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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