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 3421–3430 of 6748 papers

Title	Date	Tasks	Status
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations	Jan 27, 2023	SegmentationTime Series	—Unverified
Predictability of Power Grid Frequency	Apr 17, 2020	PredictionTime Series	—Unverified
Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach	Apr 8, 2022	SchedulingTime Series	—Unverified
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability	Dec 3, 2018	regressionTime Series	—Unverified
Predicting China's CPI by Scanner Big Data	Nov 30, 2022	Time SeriesTime Series Analysis	—Unverified
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models	May 30, 2018	PredictionTime Series	—Unverified
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series	Sep 10, 2020	ClusteringTime Series	—Unverified
Predicting crypto-currencies using sparse non-Gaussian state space models	Feb 13, 2018	State Space ModelsTime Series	—Unverified
Predicting Cyber Events by Leveraging Hacker Sentiment	Apr 14, 2018	Sentiment AnalysisTime Series	—Unverified
Predicting dynamical system evolution with residual neural networks	Oct 11, 2019	Time SeriesTime Series Analysis	—Unverified

Show:10 25 50

← PrevPage 343 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