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 201–210 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Counterfactual Explanations for Machine Learning on Multivariate Time Series Data	Aug 25, 2020	BIG-bench Machine Learningcounterfactual	CodeCode Available	1	5
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1	5
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations	Dec 4, 2020	Crop ClassificationEarth Observation	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
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment	Aug 17, 2024	Anomaly DetectionEEG	CodeCode Available	1	5
Arbitrage-free neural-SDE market models	May 24, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Neural PDE Solver with Temporal Stencil Modeling	Feb 16, 2023	Time SeriesTime Series Analysis	CodeCode Available	1	5
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series	Sep 23, 2021	Anomaly DetectionTime Series	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
An Experimental Review on Deep Learning Architectures for Time Series Forecasting	Mar 22, 2021	Deep LearningTime 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