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 541–550 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders	Dec 5, 2021	Anomaly DetectionTime Series	CodeCode Available	1	5
Dynamic Sparse Network for Time Series Classification: Learning What to "see''	Dec 19, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning	Apr 2, 2022	Crop ClassificationSemantic Segmentation	CodeCode Available	1	5
A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons	Feb 28, 2020	Time Series Analysis	CodeCode Available	1	5
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	5
A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels	Jul 12, 2022	Action DetectionActivity Detection	CodeCode Available	1	5
ASTRIDE: Adaptive Symbolization for Time Series Databases	Feb 8, 2023	Change Point DetectionQuantization	CodeCode Available	1	5
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification	Apr 16, 2021	Binary ClassificationGeneral Classification	CodeCode Available	1	5
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification	Jul 15, 2021	Conformal PredictionDeep Reinforcement Learning	CodeCode Available	1	5
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling	Dec 6, 2021	Graph LearningInductive Bias	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