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 1421–1430 of 6748 papers

Title	Date	Tasks	Status
Dynamic Molecular Graph-based Implementation for Biophysical Properties Prediction	Dec 20, 2022	PredictionTime Series	—Unverified
A Pattern Discovery Approach to Multivariate Time Series Forecasting	Dec 20, 2022	DiversityMultivariate Time Series Forecasting	—Unverified
Page time and the order parameter for a consciousness state	Dec 18, 2022	Time SeriesTime Series Analysis	—Unverified
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting	Dec 18, 2022	Load ForecastingTime Series	CodeCode Available
Reservoir Computing Using Complex Systems	Dec 17, 2022	Time SeriesTime Series Analysis	—Unverified
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition	Dec 16, 2022	Time Series Analysis	CodeCode Available
Twitter's Agenda-Setting Role: A Study of Twitter Strategy for Political Diversion	Dec 16, 2022	Time SeriesTime Series Analysis	—Unverified
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models	Dec 16, 2022	Time SeriesTime Series Analysis	—Unverified
Adaptive Multi-Agent Continuous Learning System	Dec 15, 2022	ClusteringTemporal Sequences	CodeCode Available
Multi-Level Association Rule Mining for Wireless Network Time Series Data	Dec 15, 2022	ManagementTime Series	—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