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 3141–3150 of 6748 papers

Title	Date	Tasks	Status
HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis	Oct 9, 2020	Time Series AnalysisTransfer Learning	—Unverified
Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey	Sep 18, 2021	Deep LearningTime Series	—Unverified
Fractal analyses of networks of integrate-and-fire stochastic spiking neurons	Jan 19, 2018	Time SeriesTime Series Analysis	—Unverified
FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting	Mar 14, 2023	Time SeriesTime Series Analysis	—Unverified
Hyperinflation in Brazil, Israel, and Nicaragua revisited	Apr 12, 2016	Time Series Analysis	—Unverified
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting	Sep 28, 2018	Spatio-Temporal ForecastingTime Series	—Unverified
HyperTime: Implicit Neural Representation for Time Series	Aug 11, 2022	Data AugmentationImputation	—Unverified
Hypotheses testing on infinite random graphs	Aug 10, 2017	Time SeriesTime Series Analysis	—Unverified
Fourier-RNNs for Modelling Noisy Physics Data	Feb 13, 2023	Operator learningTime Series	—Unverified
Composition Properties of Inferential Privacy for Time-Series Data	Jul 10, 2017	Time SeriesTime Series Analysis	—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