Results 41 to 50 of about 4,372,005 (356)

On splitting the area under curves II

Journal of Differential Equations, 1977
AbstractThis paper continues the author's work [3, S. Minsker, J. Differential Equations, 26, No. 3 (1977), 443–457.] on an area-splitting problem leading to the functional differential equation a′(a(x)) = a(x)x. This equation is dealt with by transforming it into the linear equation ψ′(x) = ψ(x + c), for which positive solutions on (−∞, −c) are sought.
openaire   +3 more sources

One-Dimensional Directed Sandpile Models and the Area under a Brownian Curve

, 2005
We derive the steady state properties of a general directed ``sandpile'' model in one dimension. Using a central limit theorem for dependent random variables we find the precise conditions for the model to belong to the universality class of the Totally ...
Brown B M, Dhar D, Efron B, Harris T E, K Christensen, Kearney M J, Kearney M J, M A Stapleton, Pruessner G, Rudnick J, Vallée O   +10 more
core   +1 more source

Characterising the area under the curve loss function landscape

Machine Learning: Science and Technology, 2022
Abstract One of the most common metrics to evaluate neural network classifiers is the area under the receiver operating characteristic curve (AUC). However, optimisation of the AUC as the loss function during network training is not a standard procedure.
Wales, David, Niroomand, Maximilian, Cafolla, Conor, Morgan, John   +3 more
openaire   +1 more source

Multicenter Validation of the Vasoactive-Ventilation-Renal Score as a Predictor of Prolonged Mechanical Ventilation After Neonatal Cardiac Surgery [PDF]

, 2018
Objectives: We sought to validate the Vasoactive-Ventilation-Renal score, a novel disease severity index, as a predictor of outcome in a multicenter cohort of neonates who underwent cardiac surgery. Design: Retrospective chart review.
Cashen, Katherine, Costello, John M., Gowda, Keshava Murty Narayana, Grimaldi, Lisa M., Mastropietro, Christopher W., Moser, Elizabeth A. S., Piggott, Kurt D., Wilhelm, Michael   +7 more
core   +1 more source

Assessing the precision of machine learning for diagnosing pulmonary arterial hypertension: a systematic review and meta-analysis of diagnostic accuracy studies

Frontiers in Cardiovascular Medicine
IntroductionPulmonary arterial hypertension (PAH) is a severe cardiovascular condition characterized by pulmonary vascular remodeling, increased resistance to blood flow, and eventual right heart failure.
Akbar Fadilah, Valerinna Yogibuana Swastika Putri, Imke Maria Del Rosario Puling, Sebastian Emmanuel Willyanto   +3 more
doaj   +1 more source

On the areas under the oscillatory curves

Nonlinear Analysis: Modelling and Control, 2017
We prove that the third-order Emden–Fowler-type equation has oscillatory non-extendable solutions with specific behavior of antiderivative.
openaire   +2 more sources

LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information

IEEE Access, 2020
Identifying disease-related microRNAs (miRNAs) is crucial to understanding the etiology and pathogenesis of many diseases. However, existing computational methods are facing a few dilemmas such as lacking “negative samples” (i.e.
Junlin Xu, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang   +8 more
doaj   +1 more source

The Clinical Influence after Implementation of Convolutional Neural Network-Based Software for Diabetic Retinopathy Detection in the Primary Care Setting

Life, 2021
Deep learning-based software is developed to assist physicians in terms of diagnosis; however, its clinical application is still under investigation.
Yu-Hsuan Li, Wayne Huey-Herng Sheu, Chien-Chih Chou, Chun-Hsien Lin, Yuan-Shao Cheng, Chun-Yuan Wang, Chieh Liang Wu, I.-Te Lee   +7 more
doaj   +1 more source

The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada

Population Ecology, EarlyView.
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley   +1 more source

Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve [PDF]

Neural Computation, 2016
The area under the ROC curve (AUC) is a widely used performance measure in machine learning. Increasingly, however, in several applications, ranging from ranking to biometric screening to medicine, performance is measured not in terms of the full area ...
H. Narasimhan, S. Agarwal
semanticscholar   +1 more source