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 3361–3370 of 6748 papers

Title	Date	Tasks	Status
Local-Global Methods for Generalised Solar Irradiance Forecasting	Mar 10, 2023	Solar Irradiance ForecastingTime Series Analysis	—Unverified
Interpretable Models for Understanding Immersive Simulations	Sep 24, 2019	Model SelectionTime Series	—Unverified
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases	May 5, 2021	Time SeriesTime Series Analysis	—Unverified
A Review of Open Source Software Tools for Time Series Analysis	Mar 10, 2022	Anomaly DetectionTime Series	—Unverified
Interpretable Neural Networks for Panel Data Analysis in Economics	Oct 11, 2020	Time SeriesTime Series Analysis	—Unverified
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories	Oct 27, 2016	Time SeriesTime Series Analysis	—Unverified
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management	Dec 12, 2022	ClusteringManagement	—Unverified
Interpretable System Identification and Long-term Prediction on Time-Series Data	Mar 2, 2023	PredictionTime Series	—Unverified
Forecasting Short-term load using Econometrics time series model with T-student Distribution	Sep 28, 2020	EconometricsLoad Forecasting	—Unverified
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling	May 26, 2020	Time SeriesTime Series Analysis	—Unverified

Show:10 25 50

← PrevPage 337 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