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 3841–3850 of 6748 papers

Title	Date	Tasks	Status
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks	Aug 18, 2020	ClusteringTime Series	—Unverified
Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor	Mar 18, 2022	Time SeriesTime Series Analysis	—Unverified
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization	Sep 29, 2021	Domain GeneralizationRepresentation Learning	—Unverified
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series	Feb 4, 2022	DecoderModel Selection	—Unverified
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection	Oct 29, 2020	Anomaly DetectionAutonomous Vehicles	—Unverified
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning	Sep 17, 2019	Multi-Task LearningMULTI-VIEW LEARNING	—Unverified
Self-contained Beta-with-Spikes Approximation for Inference Under a Wright-Fisher Model	Mar 8, 2023	Time SeriesTime Series Analysis	—Unverified
Self-Organization in Spontaneous Movements of Neonates generates Self-specifying Sensory Experiences	Feb 26, 2019	Time SeriesTime Series Analysis	—Unverified
Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation	Aug 7, 2019	Language AcquisitionSegmentation	—Unverified
Self-Similarity Based Time Warping	Nov 20, 2017	Dynamic Time WarpingTime Series	—Unverified

Show:10 25 50

← PrevPage 385 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