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 2451–2460 of 6748 papers

Title	Date	Tasks	Status
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction	Jan 20, 2021	Functional ConnectivityGraph Embedding	—Unverified
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting	Sep 18, 2020	BIG-bench Machine LearningMultivariate Time Series Forecasting	—Unverified
Evaluation of Spectral Learning for the Identification of Hidden Markov Models	Jul 22, 2015	Open-Ended Question AnsweringTime Series	—Unverified
Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models	Feb 25, 2020	Time SeriesTime Series Analysis	—Unverified
Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China	Nov 15, 2019	ClassificationCrop Classification	—Unverified
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air	Apr 7, 2021	Deep LearningTime Series	—Unverified
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary	Sep 28, 2022	Time SeriesTime Series Analysis	—Unverified
Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping	Aug 5, 2019	Dynamic Time WarpingTime Series	—Unverified
Causal Structural Learning from Time Series: A Convex Optimization Approach	Jan 26, 2023	scientific discoveryTime Series	—Unverified
Ensemble Grammar Induction For Detecting Anomalies in Time Series	Jan 29, 2020	Anomaly DetectionEnsemble Learning	—Unverified

Show:10 25 50

← PrevPage 246 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