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 871–880 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Automatic Change-Point Detection in Time Series via Deep Learning	Nov 7, 2022	Change Point DetectionDeep Learning	CodeCode Available	1	5
On the difficulty of learning chaotic dynamics with RNNs	Oct 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Improved Online Conformal Prediction via Strongly Adaptive Online Learning	Feb 15, 2023	Conformal Predictionimage-classification	CodeCode Available	1	5
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes	Oct 15, 2021	DescriptiveImage Classification	CodeCode Available	1	5
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm	Sep 9, 2022	ClusteringClustering Algorithms Evaluation	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
Time Series Anomaly Detection by Cumulative Radon Features	Feb 8, 2022	Anomaly DetectionTime Series	CodeCode Available	1	5
Integrating LSTMs and GNNs for COVID-19 Forecasting	Jul 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data	Apr 14, 2022	Anomaly DetectionTime 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