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 401–410 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey	Feb 6, 2023	Activity RecognitionClassification	CodeCode Available	1	5
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks	Feb 16, 2021	BIG-bench Machine LearningGraph Neural Network	CodeCode Available	1	5
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting	Feb 11, 2020	Deep LearningTime Series	CodeCode Available	1	5
Arbitrage-free neural-SDE market models	May 24, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
CKConv: Continuous Kernel Convolution For Sequential Data	Feb 4, 2021	Permuted-MNISTSequential Image Classification	CodeCode Available	1	5
ClaSP -- Parameter-free Time Series Segmentation	Jul 28, 2022	Change Point DetectionSegmentation	CodeCode Available	1	5
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks	Jan 6, 2022	Audio ClassificationClassification	CodeCode Available	1	5
From Time Series to Networks in R with the ts2net Package	Aug 20, 2022	Graph MiningTime Series	CodeCode Available	1	5
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks	Nov 2, 2020	AstronomyFeature Engineering	CodeCode Available	1	5
Adaptive Conformal Predictions for Time Series	Feb 15, 2022	Conformal PredictionDecision Making	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