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 1661–1670 of 6748 papers

Title	Date	Tasks	Status
Deep Learning to Attend to Risk in ICU	Jul 17, 2017	Decision MakingDeep Learning	—Unverified
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics	Nov 11, 2022	Time SeriesTime Series Analysis	—Unverified
Dataset Bias in Human Activity Recognition	Jan 19, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
Deep Learning with Kernel Flow Regularization for Time Series Forecasting	Sep 23, 2021	Deep LearningTime Series	—Unverified
A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification	Jun 21, 2022	Time SeriesTime Series Analysis	—Unverified
Deep Neural Models of Semantic Shift	Jun 1, 2018	Time SeriesTime Series Analysis	—Unverified
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison	Sep 26, 2019	Feature EngineeringTime Series	—Unverified
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization	Apr 30, 2020	Dimensionality ReductionTime Series	—Unverified
Deep Q-network using reservoir computing with multi-layered readout	Mar 3, 2022	Reinforcement Learning (RL)Time Series	—Unverified
Deep Sequence Modeling: Development and Applications in Asset Pricing	Aug 20, 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