Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Fabio Schoen"'
Autor:
Matteo Lapucci, Fabio Schoen
Publikováno v:
EURO Journal on Computational Optimization, Vol 12, Iss , Pp 100086- (2024)
Externí odkaz:
https://doaj.org/article/79f2c3b23d0a421fad560fd93ae8c1a4
Autor:
Marco Locatelli, Fabio Schoen
Publikováno v:
EURO Journal on Computational Optimization, Vol 9, Iss , Pp 100012- (2021)
Recent developments in (Global) Optimization are surveyed in this paper. We collected and commented quite a large number of recent references which, in our opinion, well represent the vivacity, deepness, and width of scope of current computational ap
Externí odkaz:
https://doaj.org/article/c4fc144ef17a4dabaef07a9fda6608b5
Autor:
Matteo Simoncini, Douglas Coimbra de Andrade, Leonardo Taccari, Samuele Salti, Luca Kubin, Fabio Schoen, Francesco Sambo
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:15605-15615
In this paper, we propose a novel deep learning architecture to classify unsafe driving maneuvers from dashcam and IMU data. Such architecture processes the output of an object detection algorithm in combination with raw video frames and GPS/IMU data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9392bc77b815a0a8ed038b6cab0f391b
https://doi.org/10.1109/tits.2022.3142672
https://doi.org/10.1109/tits.2022.3142672
Publikováno v:
Computational Optimization and Applications. 80:1-32
In this paper, the problem of best subset selection in logistic regression is addressed. In particular, we take into account formulations of the problem resulting from the adoption of information criteria, such as AIC or BIC, as goodness-of-fit measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::084c01e60c271bc4496037eda4eae6a9
https://doi.org/10.1007/s10589-021-00288-1
https://doi.org/10.1007/s10589-021-00288-1
Publikováno v:
Journal of the Operational Research Society. 72:2211-2224
In this paper we propose an innovative optimization method for drug replenishment in a hospital ward. Although hospital logistics has in general shifted towards a zero local inventory policy, still...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa6f6bca21d8b1937760e925ca9199d
https://doi.org/10.1080/01605682.2020.1776167
https://doi.org/10.1080/01605682.2020.1776167
Autor:
Quoc Bao Diep, Nikolai V. Kuznetsov, Giacomo Innocenti, Vaclav Snasel, Alberto Tesi, Ivan Zelinka, Swagatam Das, Fabio Schoen
Random mechanisms including mutations are an internal part of evolutionary algorithms, which are based on the fundamental ideas of Darwin's theory of evolution as well as Mendel's theory of genetic heritage. In this paper, we debate whether pseudo-ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c16b3be900d8316accda0d9caa4ad9
http://urn.fi/URN:NBN:fi:jyu-202201241254
http://urn.fi/URN:NBN:fi:jyu-202201241254
In this paper we consider multi-objective optimization problems over a box. The problem is very relevant and several computational approaches have been proposed in the literature. They broadly fall into two main classes: evolutionary methods, which a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b553eee88c62093f6c4dcc3941e0cc9c
Publikováno v:
Optimization Methods and Software. 34:1099-1122
In this paper we show that for some problem classes it is possible to design Global Optimization algorithms which mimic existing procedures obtaining the same quality at a fraction of their computa...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231b1c971a3a7676d8f5d75fa8221c56
https://doi.org/10.1080/10556788.2019.1582651
https://doi.org/10.1080/10556788.2019.1582651
Autor:
Fabio Schoen, Marco Locatelli
Publikováno v:
EURO Journal on Computational Optimization, Vol 9, Iss, Pp 100012-(2021)
Recent developments in (Global) Optimization are surveyed in this paper. We collected and commented quite a large number of recent references which, in our opinion, well represent the vivacity, deepness, and width of scope of current computational ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b17ee2f91b5ec52cfce2fccf253a993
http://www.sciencedirect.com/science/article/pii/S2192440621001398
http://www.sciencedirect.com/science/article/pii/S2192440621001398
Autor:
Paola Cappanera, Matteo Lapucci, Fabio Schoen, Marco Sciandrone, Fabio Tardella, Filippo Visintin
This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2nd, 2022, organized by the Global Optimization Laboratory within the Univ