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 2251–2260 of 6748 papers

Title	Date	Tasks	Status
An Evaluation of Classification Methods for 3D Printing Time-Series Data	Oct 2, 2020	BIG-bench Machine LearningDynamic Time Warping	—Unverified
Automatic time-series phenotyping using massive feature extraction	Dec 15, 2016	DiversityTime Series	—Unverified
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series	Jan 11, 2021	Denoisingregression	—Unverified
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics	Dec 30, 2016	Astronomyparameter estimation	—Unverified
Automatic Synthesis of Neurons for Recurrent Neural Nets	Jun 29, 2022	Time SeriesTime Series Analysis	—Unverified
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field	Oct 24, 2021	Deep LearningEEG	—Unverified
Deep Neural Networks on EEG signals to predict Attention Score using Gramian Angular Difference Field	Sep 29, 2021	Deep LearningEEG	—Unverified
VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading	Sep 5, 2018	Time SeriesTime Series Analysis	—Unverified
Deep Neural Networks for automatic extraction of features in time series satellite images	Aug 17, 2020	Earth ObservationLand Cover Classification	—Unverified
Automatic Stockpile Volume Monitoring using Multi-view Stereo from SkySat Imagery	Mar 1, 2021	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