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 581–590 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Bayesian Neural Architecture Search using A Training-Free Performance Metric	Jan 29, 2020	Bayesian OptimizationNeural Architecture Search	CodeCode Available	1	5
Bayesian hierarchical stacking: Some models are (somewhere) useful	Jan 22, 2021	Bayesian InferenceTime Series	CodeCode Available	1	5
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE	Jun 3, 2020	General Classificationimage-classification	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
Hierarchical forecasting with a top-down alignment of independent level forecasts	Mar 15, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation	Jun 13, 2023	Heart rate estimationPhotoplethysmography (PPG) heart rate estimation	CodeCode Available	1	5
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study	May 16, 2020	BIG-bench Machine LearningTime Series	CodeCode Available	1	5
Forecasting with time series imaging	Apr 17, 2019	Model SelectionTime Series	CodeCode Available	1	5
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time	Jun 13, 2022	Gesture RecognitionLanguage Modeling	CodeCode Available	1	5
Ensembles of Localised Models for Time Series Forecasting	Dec 30, 2020	ClusteringTime Series	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