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 3401–3410 of 6748 papers

Title	Date	Tasks	Status
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach	Jun 20, 2017	Demand Forecastingfeature selection	—Unverified
Short-term load forecasting using optimized LSTM networks based on EMD	Aug 16, 2018	Load ForecastingTime Series	—Unverified
Short-Term Memory Convolutions	Feb 8, 2023	Acoustic Scene ClassificationScene Classification	—Unverified
Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting	Feb 1, 2022	Deep LearningLoad Forecasting	—Unverified
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models	Dec 16, 2022	Time SeriesTime Series Analysis	—Unverified
Short-term prediction of stream turbidity using surrogate data and a meta-model approach	Oct 11, 2022	Additive modelsManagement	—Unverified
Short-term prediction of Time Series based on bounding techniques	Jan 26, 2021	PredictionTime Series	—Unverified
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks	Feb 25, 2019	ClusteringDeep Clustering	—Unverified
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study	Sep 26, 2014	Time SeriesTime Series Analysis	—Unverified
Short-Term Stock Price-Trend Prediction Using Meta-Learning	May 28, 2021	Meta-LearningPrediction	—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