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 1891–1900 of 6748 papers

Title	Date	Tasks	Status
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO	Jun 22, 2017	ClusteringGeneral Classification	—Unverified
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals	Feb 12, 2020	Time SeriesTime Series Analysis	—Unverified
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases	May 5, 2021	Time SeriesTime Series Analysis	—Unverified
Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction	Jul 10, 2022	Time SeriesTime Series Analysis	—Unverified
Deep Transformer Networks for Time Series Classification: The NPP Safety Case	Apr 9, 2021	General ClassificationTime Series	—Unverified
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction	Jul 11, 2017	PredictionTime Series	—Unverified
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives	Aug 15, 2022	Domain AdaptationDomain Generalization	—Unverified
A Review of Open Source Software Tools for Time Series Analysis	Mar 10, 2022	Anomaly DetectionTime Series	—Unverified
Discovering Causal Relations in Textual Instructions	Sep 1, 2015	Time Series Analysis	—Unverified
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling	May 26, 2020	Time SeriesTime Series Analysis	—Unverified

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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