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 321–330 of 6748 papers

Title	Date	Tasks	Status	Hype
Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs	Jun 28, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Local Evaluation of Time Series Anomaly Detection Algorithms	Jun 27, 2022	Anomaly DetectionTime Series	CodeCode Available	1
Multi-Variate Time Series Forecasting on Variable Subsets	Jun 25, 2022	Multivariate Time Series ForecastingTime Series	CodeCode Available	1
Utilizing Expert Features for Contrastive Learning of Time-Series Representations	Jun 23, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting	Jun 22, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics	Jun 21, 2022	SchedulingTime Series	CodeCode Available	1
Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification	Jun 18, 2022	channel selectionTime Series	CodeCode Available	1
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures	Jun 17, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications	Jun 17, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	1
MAGIC: Microlensing Analysis Guided by Intelligent Computation	Jun 16, 2022	Time SeriesTime Series Analysis	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