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 2071–2080 of 6748 papers

Title	Date	Tasks	Status
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak	Feb 11, 2021	BIG-bench Machine LearningDecision Making	—Unverified
A restricted eigenvalue condition for unit-root non-stationary data	Aug 27, 2022	Time SeriesTime Series Analysis	—Unverified
Adaptive Transmit Waveform Design using Multi-Tone Sinusoidal Frequency Modulation	Feb 24, 2020	Time Series Analysis	—Unverified
Comparative analysis of criteria for filtering time series of word usage frequencies	Dec 10, 2017	Stochastic OptimizationTime Series	—Unverified
Compact representation of temporal processes in echosounder time series via matrix decomposition	Jul 6, 2020	Time SeriesTime Series Analysis	—Unverified
A reproduction rate which perfectly fits Covid-19	May 27, 2020	Time SeriesTime Series Analysis	—Unverified
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning	Dec 27, 2017	Decision MakingManagement	—Unverified
Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A Wavelet Approach	Jan 3, 2023	Time SeriesTime Series Analysis	—Unverified
Are Large Language Models Useful for Time Series Data Analysis?	Dec 16, 2024	Anomaly DetectionDecision Making	—Unverified
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification	Feb 1, 2022	Autonomous DrivingBIG-bench Machine Learning	—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