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 1701–1710 of 6748 papers

Title	Date	Tasks	Status
Estimation of Shade Losses in Unlabeled PV Data	Sep 20, 2022	Time SeriesTime Series Analysis	—Unverified
An Attention Free Long Short-Term Memory for Time Series Forecasting	Sep 20, 2022	PredictionTime Series	—Unverified
The boosted HP filter is more general than you might think	Sep 20, 2022	Time SeriesTime Series Analysis	—Unverified
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography	Sep 20, 2022	Active LearningCPU	—Unverified
Quantifying How Hateful Communities Radicalize Online Users	Sep 19, 2022	Causal InferenceTime Series Analysis	—Unverified
Predicting Mutual Funds' Performance using Deep Learning and Ensemble Techniques	Sep 18, 2022	Bayesian OptimizationDeep Learning	—Unverified
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems	Sep 18, 2022	Time SeriesTime Series Analysis	—Unverified
Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data	Sep 18, 2022	Time SeriesTime Series Analysis	CodeCode Available
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs	Sep 17, 2022	graph constructionGraph Neural Network	—Unverified
A review of predictive uncertainty estimation with machine learning	Sep 17, 2022	Additive modelsquantile regression	—Unverified

Show:10 25 50

← PrevPage 171 of 675Next →

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