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 4391–4400 of 6748 papers

Title	Date	Tasks	Status
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape	Feb 11, 2023	ClusteringFeature Importance	—Unverified
Interpretable Feature Construction for Time Series Extrinsic Regression	Mar 15, 2021	Benchmarkingregression	—Unverified
Interpretable Feature Engineering for Time Series Predictors using Attention Networks	May 23, 2022	Feature EngineeringTime Series	—Unverified
Interpretable Latent Variables in Deep State Space Models	Mar 3, 2022	DecoderState Space Models	—Unverified
Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications	Mar 23, 2021	BIG-bench Machine LearningGeneral Classification	—Unverified
Interpretable Models for Understanding Immersive Simulations	Sep 24, 2019	Model SelectionTime Series	—Unverified
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks	Apr 27, 2020	Decision MakingDeep Learning	—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
Interpretable Super-Resolution via a Learned Time-Series Representation	Jun 13, 2020	Super-ResolutionTime Series	—Unverified

Show:10 25 50

← PrevPage 440 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