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 2001–2010 of 6748 papers

Title	Date	Tasks	Status
Behave-XAI: Deep Explainable Learning of Behavioral Representational Data	Dec 30, 2022	Explainable Artificial Intelligence (XAI)Time Series	—Unverified
Differential Recurrent Neural Networks for Action Recognition	Apr 25, 2015	Action RecognitionTemporal Action Localization	—Unverified
Hidden Markov Neural Networks	Apr 15, 2020	Continual LearningTime Series	—Unverified
Dynamic Combination of Heterogeneous Models for Hierarchical Time Series	Dec 22, 2021	Time SeriesTime Series Analysis	—Unverified
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors	Jul 2, 2021	Data AugmentationTime Series	—Unverified
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles	Jul 16, 2020	Autonomous VehiclesDecision Making	—Unverified
A Review of Intelligent Practices for Irrigation Prediction	Dec 7, 2016	ManagementPrediction	—Unverified
Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy	Oct 22, 2020	Time Series AnalysisTime Series Forecasting	—Unverified
Digital biomarkers and artificial intelligence for mass diagnosis of atrial fibrillation in a population sample at risk of sleep disordered breathing	Jul 29, 2020	RhythmTime Series Analysis	—Unverified
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals	Dec 11, 2020	Event DetectionRhythm	—Unverified

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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