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 4061–4070 of 6748 papers

Title	Date	Tasks	Status
Twitter's Agenda-Setting Role: A Study of Twitter Strategy for Political Diversion	Dec 16, 2022	Time SeriesTime Series Analysis	—Unverified
Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset	Mar 21, 2022	Anomaly DetectionTime Series	—Unverified
Two-phase flow regime prediction using LSTM based deep recurrent neural network	Mar 30, 2019	PredictionTime Series	—Unverified
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data	Feb 10, 2022	Anomaly DetectionTime Series	—Unverified
Two-Stage Framework for Seasonal Time Series Forecasting	Mar 3, 2021	Time SeriesTime Series Analysis	—Unverified
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series	Sep 30, 2021	BIG-bench Machine LearningTime Series	—Unverified
Ubicomp Digital 2020 -- Handwriting classification using a convolutional recurrent network	Aug 3, 2020	ClassificationGeneral Classification	—Unverified
Ultra-Fast Shapelets for Time Series Classification	Mar 17, 2015	ClassificationGeneral Classification	—Unverified
Ultraslow diffusion in language: Dynamics of appearance of already popular adjectives on Japanese blogs	Jul 21, 2017	ArticlesTime Series	—Unverified
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition	May 24, 2022	Activity RecognitionHuman Activity Recognition	—Unverified

Show:10 25 50

← PrevPage 407 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