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 2761–2770 of 6748 papers

Title	Date	Tasks	Status
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach	Mar 13, 2019	Time Series Analysis	—Unverified
Forecasting the abnormal events at well drilling with machine learning	Mar 10, 2022	BIG-bench Machine LearningTime Series	—Unverified
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks	Apr 20, 2021	Time SeriesTime Series Analysis	—Unverified
A review of predictive uncertainty estimation with machine learning	Sep 17, 2022	Additive modelsquantile regression	—Unverified
GEFCOM 2014 - Probabilistic Electricity Price Forecasting	Jun 23, 2015	regressionTime Series	—Unverified
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning	Jul 1, 2021	Time Series Analysis	—Unverified
Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?	Feb 12, 2023	Time SeriesTime Series Analysis	—Unverified
Compensatory model for quantile estimation and application to VaR	Dec 14, 2021	Time SeriesTime Series Analysis	—Unverified
Forecasting time series with encoder-decoder neural networks	Sep 18, 2020	DecoderTime Series	—Unverified
Causal Inference from Slowly Varying Nonstationary Processes	Dec 23, 2020	Causal DiscoveryCausal Identification	—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