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 741–750 of 6748 papers

Title	Date	Tasks	Status	Hype
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	Jul 6, 2020	Graph GenerationGraph Neural Network	CodeCode Available	1
Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach	Jul 4, 2020	BIG-bench Machine LearningClassification	CodeCode Available	1
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series	Jul 1, 2020	Earth ObservationTime Series	CodeCode Available	1
Conditional GAN for timeseries generation	Jun 30, 2020	Generative Adversarial NetworkTime Series	CodeCode Available	1
Subject-Aware Contrastive Learning for Biosignals	Jun 30, 2020	Anomaly DetectionContrastive Learning	CodeCode Available	1
MTSS-GAN: Multivariate Time Series Simulation Generative Adversarial Networks	Jun 26, 2020	Generative Adversarial NetworkImage Generation	CodeCode Available	1
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1
SAR2SAR: a semi-supervised despeckling algorithm for SAR images	Jun 26, 2020	DenoisingImage Denoising	CodeCode Available	1
Time Series Extrinsic Regression	Jun 23, 2020	regressionTime Series	CodeCode Available	1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	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