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 1851–1860 of 6748 papers

Title	Date	Tasks	Status
Deep Q-network using reservoir computing with multi-layered readout	Mar 3, 2022	Reinforcement Learning (RL)Time Series	—Unverified
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data	Nov 7, 2017	Time SeriesTime Series Analysis	—Unverified
Complexity and Persistence of Price Time Series of the European Electricity Spot Market	Dec 2, 2021	Time SeriesTime Series Analysis	—Unverified
Real-Time Privacy-Preserving Data Release for Smart Meters	Jun 14, 2019	Privacy PreservingTime Series Analysis	—Unverified
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach	Jun 6, 2016	Metric LearningPerson Re-Identification	—Unverified
A review of two decades of correlations, hierarchies, networks and clustering in financial markets	Mar 1, 2017	BIG-bench Machine LearningClustering	—Unverified
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters	Sep 6, 2018	Time SeriesTime Series Analysis	—Unverified
Deep Recurrent Modelling of Granger Causality with Latent Confounding	Feb 23, 2022	DecoderTime Series	—Unverified
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice	Feb 11, 2021	BIG-bench Machine LearningFederated Learning	—Unverified
Compensatory model for quantile estimation and application to VaR	Dec 14, 2021	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