Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Matteo Avolio"'
Autor:
Matteo Avolio
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4034 (2023)
The problem of balancing the average weighted completion times of two classes of jobs is an NP-hard scheduling problem that was very recently introduced in the literature. Interpreted as a cooperative-type two-agent single-machine problem, its applic
Externí odkaz:
https://doaj.org/article/eefc1a86c176455183ef1b35c0cc019e
Publikováno v:
EURO Journal on Computational Optimization, Vol 11, Iss , Pp 100070- (2023)
Multiple Instance Learning (MIL) is a kind of weak supervised learning, where each sample is represented by a bag of instances. The main characteristic of such problems resides in the training phase, since the class labels are provided only for each
Externí odkaz:
https://doaj.org/article/2b68c3ba229c4c6c8395ca3d9cf8e88c
Autor:
Matteo Avolio, Antonio Fuduli
Publikováno v:
EURO Journal on Computational Optimization, Vol 10, Iss , Pp 100032- (2022)
We tackle a new single-machine scheduling problem, whose objective is to balance the average weighted completion times of two classes of jobs. Because both the job sets contribute to the same objective function, this problem can be interpreted as a c
Externí odkaz:
https://doaj.org/article/a45759ffc5e2483fb39570865a55e531
Autor:
María Salvador, José Luis Marqués-Fernández, José Carlos Martínez-García, Dino Fiorani, Paolo Arosio, Matteo Avolio, Francesca Brero, Florica Balanean, Andrea Guerrini, Claudio Sangregorio, Vlad Socoliuc, Ladislau Vekas, Davide Peddis, Montserrat Rivas
Publikováno v:
Nanomaterials, Vol 12, Iss 2, p 205 (2022)
Today, public health is one of the most important challenges in society. Cancer is the leading cause of death, so early diagnosis and localized treatments that minimize side effects are a priority. Magnetic nanoparticles have shown great potential as
Externí odkaz:
https://doaj.org/article/8ee5970c8fb349eda8f175f089caa58a
Autor:
Francesca Brero, Martin Albino, Antonio Antoccia, Paolo Arosio, Matteo Avolio, Francesco Berardinelli, Daniela Bettega, Paola Calzolari, Mario Ciocca, Maurizio Corti, Angelica Facoetti, Salvatore Gallo, Flavia Groppi, Andrea Guerrini, Claudia Innocenti, Cristina Lenardi, Silvia Locarno, Simone Manenti, Renato Marchesini, Manuel Mariani, Francesco Orsini, Emanuele Pignoli, Claudio Sangregorio, Ivan Veronese, Alessandro Lascialfari
Publikováno v:
Nanomaterials, Vol 10, Iss 10, p 1919 (2020)
A combination of carbon ions/photons irradiation and hyperthermia as a novel therapeutic approach for the in-vitro treatment of pancreatic cancer BxPC3 cells is presented. The radiation doses used are 0–2 Gy for carbon ions and 0–7 Gy for 6 MV ph
Externí odkaz:
https://doaj.org/article/1a261ad289da48f4880ede0370f3b64a
Autor:
Francesca Brero, Martina Basini, Matteo Avolio, Francesco Orsini, Paolo Arosio, Claudio Sangregorio, Claudia Innocenti, Andrea Guerrini, Joanna Boucard, Eléna Ishow, Marc Lecouvey, Jérome Fresnais, Lenaic Lartigue, Alessandro Lascialfari
Publikováno v:
Nanomaterials, Vol 10, Iss 9, p 1660 (2020)
We present a 1H Nuclear Magnetic Resonance (NMR) relaxometry experimental investigation of two series of magnetic nanoparticles, constituted of a maghemite core with a mean diameter dTEM = 17 ± 2.5 nm and 8 ± 0.4 nm, respectively, and coated with f
Externí odkaz:
https://doaj.org/article/232df7c1dab843ef8adb093f6133ff8e
Publikováno v:
Operations Research Letters. 51:40-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b62820a02ed93fd9da6e026650faa74
https://doi.org/10.1016/j.orl.2022.11.008
https://doi.org/10.1016/j.orl.2022.11.008
Publikováno v:
European journal of operational research (2021).
info:cnr-pdr/source/autori:Annabella Astorino; Matteo Avolio; Antonio Fuduli/titolo:A maximum-margin multisphere approach for binary Multiple Instance Learning/doi:/rivista:European journal of operational research/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:Annabella Astorino; Matteo Avolio; Antonio Fuduli/titolo:A maximum-margin multisphere approach for binary Multiple Instance Learning/doi:/rivista:European journal of operational research/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume
We propose a heuristic approach for solving binary Multiple Instance Learning (MIL) problems, whose objective is to categorize bags of instances. Considering the case with two classes of instances, on the basis of the standard MIL assumption, a bag i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c632625b9e3bc176e0b009b7ca59516
https://doi.org/10.1016/j.ejor.2021.11.022
https://doi.org/10.1016/j.ejor.2021.11.022
Publikováno v:
International Database Engineered Applications Symposium Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2cc7cdac21c5bf3a9654b52d8dc3791
https://doi.org/10.1145/3589462.3589490
https://doi.org/10.1145/3589462.3589490
Autor:
Antonio Fuduli, Matteo Avolio
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:3566-3577
We face a binary multiple instance learning (MIL) problem, whose objective is to discriminate between two kinds of point sets: positive and negative. In the MIL terminology, such sets are called bags, and the points inside each bag are called instanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d2852094209eec25851c178c38afe5
https://doi.org/10.1109/tnnls.2020.3015442
https://doi.org/10.1109/tnnls.2020.3015442