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 4801–4810 of 6748 papers

Title	Date	Tasks	Status
2T-POT Hawkes model for left- and right-tail conditional quantile forecasts of financial log-returns: out-of-sample comparison of conditional EVT models	Feb 2, 2022	Time SeriesTime Series Analysis	—Unverified
30m resolution Global Annual Burned Area Mapping based on Landsat images and Google Earth Engine	May 7, 2018	Fire DetectionTime Series	—Unverified
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting	Mar 3, 2019	4D Spatio Temporal Semantic SegmentationTime Series	—Unverified
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations	Apr 21, 2021	Contrastive LearningRhythm	—Unverified
4D Human Body Capture from Egocentric Video via 3D Scene Grounding	Nov 26, 2020	Time SeriesTime Series Analysis	—Unverified
4D iterative reconstruction of brain fMRI in the moving fetus	Nov 22, 2021	Functional ConnectivityTime Series	—Unverified
5G Traffic Prediction with Time Series Analysis	Oct 7, 2021	ClassificationPrediction	—Unverified
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning	Sep 30, 2020	Asset ManagementDeep Reinforcement Learning	—Unverified
A Basic Recurrent Neural Network Model	Dec 29, 2016	modelTime Series	—Unverified
A Bayesian analysis of gain-loss asymmetry	Apr 13, 2021	SensitivityTime Series	—Unverified

Show:10 25 50

← PrevPage 481 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