Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gianpiero Canessa"'
Autor:
Susana Mondschein, Marcelo Olivares, Fernando Ordóñez, Daniel Schwartz, Andres Weintraub, Ignacio Torres-Ulloa, Cristian Aguayo, Gianpiero Canessa
Publikováno v:
Service Science. 14:90-109
The COVID-19 pandemic has caused great disruption to the service sector, and it has, in turn, adapted by implementing measures that reduce physical contact among employees and users; examples include home-office work and the setting of occupancy rest
Publikováno v:
Praxis Arqueológica. 3:32-42
Este es un trabajo de carácter exploratorio que pretende impulsar una metodología de prospección arqueológica basada en la visión computacional para clasificar fotografías de objetos arqueológicos de pequeño tamaño en superficie. Para lograr
Publikováno v:
Annals of Mathematics and Artificial Intelligence.
Support vector machines (SVM) is one of the well known supervised classes of learning algorithms. Furthermore, the conic-segmentation SVM (CS-SVM) is a natural multiclass analogue of the standard binary SVM, as CS-SVM models are dealing with the situ
Production logistics has an important role as a chain that connects the components of the production system. The most important goal of production logistics plans is to keep the flow of the production system well. However, compared to the production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d28e39bf120f9d1ac33a9ac3bfc40e4
https://doi.org/10.3233/atde220162
https://doi.org/10.3233/atde220162
Publikováno v:
Optimization and Engineering. 22:2655-2678
In this work, we consider a risk-averse ultimate pit problem where the grade of the mineral is uncertain. We derive conditions under which we can generate a set of nested pits by varying the risk level instead of using revenue factors. We propose two
Publikováno v:
Computational Optimization and Applications. 72:589-608
We propose an algorithm based on infeasible irreducible subsystems to solve binary linear chance-constrained problems with random technology matrix. By leveraging on the problem structure we are able to generate good quality upper bounds to the optim
Autor:
Gianpiero Canessa, Ignacio Torres, Andrés Weintraub, Marcelo Olivares, Fernando Ordóñez, Daniel Schwartz, Susana Mondschein, Cristian Aguayo
Publikováno v:
SSRN Electronic Journal.
The COVID-19 pandemic has caused great disruption to the service sector, which has in turn adapted by implementing measures that reduce physical distancing among employees and users; examples include home-office work and the setting of occupancy rest
Publikováno v:
Annals of Operations Research. 286:501-527
In 2000, Chile introduced profound health reforms to achieve a more equitable and fairer system (GES plan). The reforms established a maximum waiting time between diagnosis and treatment for a set of diseases, described as an opportunity guarantee wi
Autor:
Eduardo Moreno, Gianpiero Canessa, Tito Homem-de-Mello, Bernardo K. Pagnoncelli, Javiera Barrera
Publikováno v:
Mathematical Programming. 157:153-189
We study chance-constrained problems in which the constraints involve the probability of a rare event. We discuss the relevance of such problems and show that the existing sampling-based algorithms cannot be applied directly in this case, since they