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 421–430 of 6748 papers

Title	Date	Tasks	Status	Hype
Time Series Generation with Masked Autoencoder	Jan 14, 2022	Data AugmentationDecoder	CodeCode Available	1
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting	Jan 13, 2022	Graph LearningGraph Neural Network	CodeCode Available	1
Generative time series models using Neural ODE in Variational Autoencoders	Jan 12, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks	Jan 6, 2022	Audio ClassificationClassification	CodeCode Available	1
Towards Similarity-Aware Time-Series Classification	Jan 5, 2022	ClassificationDynamic Time Warping	CodeCode Available	1
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data	Jan 3, 2022	Graph Neural Networkregression	CodeCode Available	1
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data	Jan 1, 2022	Data AugmentationKnowledge Distillation	CodeCode Available	1
Financial time series forecasting with multi-modality graph neural network	Jan 1, 2022	Graph Neural NetworkTime Series	CodeCode Available	1
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture	Dec 16, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling	Dec 16, 2021	Multivariate Time Series ForecastingPrediction Intervals	CodeCode Available	1

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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