Results 11 to 20 of about 900,847 (260)

Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks

open access: yesMathematics, 2021
Multi-class classification in imbalanced datasets is a challenging problem. In these cases, common validation metrics (such as accuracy or recall) are often not suitable.
Darío Ramos-López, Ana D. Maldonado
doaj   +1 more source

Inferring the Population Mean with Second-Order Information in Online Social Networks

open access: yesEntropy, 2018
With the increasing use of online social networking platforms, online surveys are widely used in many fields, e.g., public health, business and sociology, to collect samples and to infer the population characteristics through self-reported data of ...
Saran Chen   +3 more
doaj   +1 more source

The time squares sequences: a new task for assessing visuospatial working memory

open access: yesFrontiers in Behavioral Neuroscience, 2023
IntroductionSeveral studies have shown that the working memory is sensitive to temporal variations. We used a new visuospatial working memory task, the “Time Squares Sequences,” to investigate whether implicit variations in stimuli presentation time ...
Pierandrea Mirino   +11 more
doaj   +1 more source

An EPLS model for a variable production rate with stock-price sensitive demand and deterioration [PDF]

open access: yesYugoslav Journal of Operations Research, 2012
It is observed that large piles of consumer goods displayed in supermarkets lead consumers to buy more, which generates more profit to sellers. But a large number of on-hand display of stock leaves a negative impression on the buyer.
Roy T., Chaudhuri K.S.
doaj   +1 more source

Analysis and Validation of Sensitivity in Torque-Sensitive Actuators

open access: yesActuators, 2023
Across different fields within robotics, there is a great need for lightweight, efficient actuators with human-like performance. Linkage-based passive variable transmissions and torque-sensitive transmissions have emerged as promising solutions to meet ...
Minh Tran, Lukas Gabert, Tommaso Lenzi
doaj   +1 more source

Are pigs sensitive to variability in food rewards? [PDF]

open access: yesApplied Animal Behaviour Science, 2008
Pigs are non-specialist feeders with high capacities to adapt their diets within wide limits to prevailing and unpredictable conditions. Under husbandry conditions however, pigs are usually fed under extremely predictable conditions, i.e. with highly uniform and standardized diets, ad libitum or at standardized times. Although pigs, in this way, obtain
de Jonge, F.H.   +4 more
openaire   +4 more sources

Variable Protease-Sensitive Prionopathy Transmission to Bank Voles

open access: yesEmerging Infectious Diseases, 2019
Variably protease-sensitive prionopathy (VPSPr), a recently described human sporadic prion disease, features a protease-resistant, disease-related prion protein (resPrPD) displaying 5 fragments reminiscent of Gerstmann-Sträussler-Scheinker disease ...
Romolo Nonno   +12 more
doaj   +1 more source

Hydrologically sensitive areas: theory and application to Barigui river watershed, PR, Brazil

open access: yesRevista Ambiente & Água, 2010
The concept of hydrologically sensitive area (HSA) is discussed and applied to Barigui river watershed (58.5 km²), located in Almirante Tamandaré city, Parana State, Brazil.
Irani dos Santos   +1 more
doaj   +1 more source

Modeling the sensitivity to variability relationship in perimetry

open access: yesVision Research, 2006
Studies in glaucoma patients show that standard automated perimetry results increase in variability as sensitivity decreases. However, the reasons for this change are unclear. This study presents the principle of Divergent Dysfunction as a possible explanation for this change in variability, and incorporates it into a model that can be used to simulate
Gardiner, S.K.   +2 more
openaire   +2 more sources

A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable

open access: yesJournal of Probability and Statistics, 2013
Tian et al. (2007) introduced a so-called hidden sensitivity model for evaluating the association of two sensitive questions with binary outcomes. However, in practice, we sometimes need to assess the association between one sensitive binary variable (e ...
Jun-Wu Yu, Yang Lu, Guo-Liang Tian
doaj   +1 more source

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