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 681–690 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data	Jun 9, 2020	Time Series Analysis	CodeCode Available	1	5
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data	Oct 23, 2020	Deep LearningImputation	CodeCode Available	1	5
Crop mapping from image time series: deep learning with multi-scale label hierarchies	Feb 17, 2021	Crop ClassificationGeneral Classification	CodeCode Available	1	5
A Review of Graph Neural Networks and Their Applications in Power Systems	Jan 25, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping	Nov 26, 2021	Dynamic Time WarpingTime Series	CodeCode Available	1	5
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series	Oct 15, 2021	ClassificationCrop Classification	CodeCode Available	1	5
Fast Variational Learning in State-Space Gaussian Process Models	Jul 9, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation	Jul 7, 2021	Audio SynthesisImage Generation	CodeCode Available	1	5
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress	Sep 29, 2020	Anomaly DetectionTime Series	CodeCode Available	1	5
Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data	Apr 3, 2021	DiversityTime Series	CodeCode Available	1	5

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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