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 1371–1380 of 6748 papers

Title	Date	Tasks	Status
An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter	Oct 6, 2021	Time SeriesTime Series Analysis	—Unverified
Assessing Social License to Operate from the Public Discourse on Social Media	Dec 1, 2020	text-classificationText Classification	—Unverified
Assessing Lower Limb Strength using Internet-of-Things Enabled Chair	Sep 8, 2022	GPUTime Series	—Unverified
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles	Nov 25, 2021	Decision MakingFeature Engineering	—Unverified
A Bayesian analysis of gain-loss asymmetry	Apr 13, 2021	SensitivityTime Series	—Unverified
Assessing biological models using topological data analysis	Nov 12, 2018	Time SeriesTime Series Analysis	—Unverified
A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM	Apr 21, 2018	DecoderReading Comprehension	—Unverified
A Spectral Enabled GAN for Time Series Data Generation	Mar 2, 2021	Generative Adversarial NetworkTime Series	—Unverified
A Spectral Algorithm for Learning Hidden Markov Models	Nov 26, 2008	Time SeriesTime Series Analysis	—Unverified
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network	Dec 23, 2021	Anomaly Detectionfeature selection	—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