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 131–140 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
An Evaluation of Change Point Detection Algorithms	Mar 13, 2020	Change Point DetectionTime Series	CodeCode Available	1	5
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks	Nov 29, 2022	PredictionTime Series	CodeCode Available	1	5
A Neural PDE Solver with Temporal Stencil Modeling	Feb 16, 2023	Time SeriesTime Series Analysis	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
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation	May 14, 2020	General ClassificationSpecificity	CodeCode Available	1	5
An Empirical Framework for Domain Generalization in Clinical Settings	Mar 20, 2021	Domain GeneralizationTime Series	CodeCode Available	1	5
An Empirical Evaluation of Time-Series Feature Sets	Oct 21, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks	Jul 31, 2020	Data AugmentationGeneral Classification	CodeCode Available	1	5
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting	Nov 5, 2022	Anomaly Detectionregression	CodeCode Available	1	5
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	Mar 4, 2018	Audio SynthesisLanguage Modelling	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