Zobrazeno 1 - 10
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pro vyhledávání: '"A, Scavuzzo"'
Modern Mixed Integer Linear Programming (MILP) solvers use the Branch-and-Bound algorithm together with a plethora of auxiliary components that speed up the search. In recent years, there has been an explosive development in the use of machine learni
Externí odkaz:
http://arxiv.org/abs/2411.18321
Mixed Integer Linear Programming (MILP) is a pillar of mathematical optimization that offers a powerful modeling language for a wide range of applications. During the past decades, enormous algorithmic progress has been made in solving MILPs, and man
Externí odkaz:
http://arxiv.org/abs/2402.05501
Autor:
Dennis Cerrato-Izaguirre, Jonathan González-Ruíz, José Diaz-Chavez, Andrea Ramírez, Anna Scavuzzo, Miguel A. Jimenez, Carlo Cortés-González, Jairo A. Rubio, María D. Pérez-Montiel, Claudia M. García-Cuellar, Luis A. Herrera, Yesennia Sánchez-Pérez, Felipe Vaca-Paniagua, Salim Barquet-Muñoz, David Cantu-de-Leon, Promita Bose, Diddier Prada
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Background Health disparities have been highlighted among patient with prostate adenocarcinoma (PRAD) due to ethnicity. Mexican men present a more aggressive disease than other patients resulting in less favorable treatment outcome. We aimed
Externí odkaz:
https://doaj.org/article/aa27e0284ff54b798950f20f0227eccc
Autor:
Cui, Guo-Dong, Schweickert, Lucas, Jöns, Klaus D., Namazi, Mehdi, Lettner, Thomas, Zeuner, Katharina D., Montaña, Lara Scavuzzo, da Silva, Saimon Filipe Covre, Reindl, Marcus, Huang, Huiying, Trotta, Rinaldo, Rastelli, Armando, Zwiller, Val, Figueroa, Eden
Long-range quantum communication requires the development of in-out light-matter interfaces to achieve a quantum advantage in entanglement distribution. Ideally, these quantum interconnections should be as fast as possible to achieve high-rate entang
Externí odkaz:
http://arxiv.org/abs/2301.10326
Autor:
Jimenez Rios, Miguel Angel1 (AUTHOR) incanurologia@gmail.com, Scavuzzo, Anna1 (AUTHOR) annasc80@gmail.com, Noverón, Nancy Reynoso2 (AUTHOR) reynonove1@gmail.com, García Arango, Caleb2 (AUTHOR) caleb.garc@gmail.com, Calvo Vazquez, Ivan1 (AUTHOR), Hurtado Vázquez, Alonso3 (AUTHOR), Arrieta Rodriguez, Oscar Gerardo4 (AUTHOR), Davila, Miguel Angel Jimenez1 (AUTHOR), Sighinolfi, Maria Chiara5,6 (AUTHOR) bernardo.rocco@gmail.com, Rocco, Bernardo6 (AUTHOR)
Publikováno v:
Cancers. Nov2024, Vol. 16 Issue 21, p3675. 13p.
Autor:
Alam, Md Shofiul, Cedeño, Jonathan, Reyes, Michael A., Scavuzzo, Sebastian, Miksovska, Jaroslava
Publikováno v:
In Journal of Inorganic Biochemistry January 2025 262
Autor:
Micaela Natalia Campero, Carlos Matías Scavuzzo, Carlos Marcelo Scavuzzo, María Dolores Román
Publikováno v:
Geospatial Health, Vol 19, Iss 1 (2024)
Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by too
Externí odkaz:
https://doaj.org/article/c63826c1dd754ad2bd08a08112d93d76
Publikováno v:
npj Quantum Inf 9, 46 (2023)
We study the limits of bipartite entanglement distribution using a chain of quantum repeaters that have quantum memories. To generate end-to-end entanglement, each node can attempt the generation of an entangled link with a neighbor, or perform an en
Externí odkaz:
http://arxiv.org/abs/2207.06533
Autor:
Scavuzzo, Lara, Chen, Feng Yang, Chételat, Didier, Gasse, Maxime, Lodi, Andrea, Yorke-Smith, Neil, Aardal, Karen
State-of-the-art Mixed Integer Linear Program (MILP) solvers combine systematic tree search with a plethora of hard-coded heuristics, such as the branching rule. The idea of learning branching rules from data has received increasing attention recentl
Externí odkaz:
http://arxiv.org/abs/2205.11107
Autor:
Gasse, Maxime, Cappart, Quentin, Charfreitag, Jonas, Charlin, Laurent, Chételat, Didier, Chmiela, Antonia, Dumouchelle, Justin, Gleixner, Ambros, Kazachkov, Aleksandr M., Khalil, Elias, Lichocki, Pawel, Lodi, Andrea, Lubin, Miles, Maddison, Chris J., Morris, Christopher, Papageorgiou, Dimitri J., Parjadis, Augustin, Pokutta, Sebastian, Prouvost, Antoine, Scavuzzo, Lara, Zarpellon, Giulia, Yang, Linxin, Lai, Sha, Wang, Akang, Luo, Xiaodong, Zhou, Xiang, Huang, Haohan, Shao, Shengcheng, Zhu, Yuanming, Zhang, Dong, Quan, Tao, Cao, Zixuan, Xu, Yang, Huang, Zhewei, Zhou, Shuchang, Binbin, Chen, Minggui, He, Hao, Hao, Zhiyu, Zhang, Zhiwu, An, Kun, Mao
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolation, ignoring that they often stem from related data distributions in pr
Externí odkaz:
http://arxiv.org/abs/2203.02433