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 611–620 of 6748 papers

Title	Date	Tasks	Status	Hype
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer	Jul 6, 2022	DenoisingTime Series	CodeCode Available	1
Do We Really Need Deep Learning Models for Time Series Forecasting?	Jan 6, 2021	Deep Learningregression	CodeCode Available	1
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data	Feb 17, 2023	Anomaly DetectionDiagnostic	CodeCode Available	1
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting	Aug 5, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction	Feb 9, 2020	ICU AdmissionTime Series Analysis	CodeCode Available	1
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	Mar 3, 2021	ClusteringTime Series	CodeCode Available	1
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling	Apr 30, 2021	Recommendation SystemsThompson Sampling	CodeCode Available	1
Dynamic Sparse Network for Time Series Classification: Learning What to "see''	Dec 19, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
BolT: Fused Window Transformers for fMRI Time Series Analysis	May 23, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Benchmarking Deep Learning Interpretability in Time Series Predictions	Oct 26, 2020	BenchmarkingDeep 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