Zobrazeno 1 - 10
of 2 381
pro vyhledávání: '"Miozzo, A."'
Autor:
Dhasade, Akash, Dini, Paolo, Guerra, Elia, Kermarrec, Anne-Marie, Miozzo, Marco, Pires, Rafael, Sharma, Rishi, de Vos, Martijn
Decentralized learning (DL) offers a powerful framework where nodes collaboratively train models without sharing raw data and without the coordination of a central server. In the iterative rounds of DL, models are trained locally, shared with neighbo
Externí odkaz:
http://arxiv.org/abs/2407.01283
Traffic prediction represents one of the crucial tasks for smartly optimizing the mobile network. The research in this topic concentrated in making predictions in a centralized fashion, i.e., by collecting data from the different network elements. Th
Externí odkaz:
http://arxiv.org/abs/2310.14456
Autor:
Perifanis, Vasileios, Pavlidis, Nikolaos, Yilmaz, Selim F., Wilhelmi, Francesc, Guerra, Elia, Miozzo, Marco, Efraimidis, Pavlos S., Dini, Paolo, Koutsiamanis, Remous-Aris
Cellular traffic prediction is a crucial activity for optimizing networks in fifth-generation (5G) networks and beyond, as accurate forecasting is essential for intelligent network design, resource allocation and anomaly mitigation. Although machine
Externí odkaz:
http://arxiv.org/abs/2309.10645
Autor:
Matteo Floris, Antonino Moschella, Myriam Alcalay, Annalaura Montella, Matilde Tirelli, Laura Fontana, Maria Laura Idda, Pharmacogenomics Working Group of the Italian Society of Human Genetics (SIGU), Paolo Guarnieri, Mario Capasso, Corrado Mammì, Paola Nicoletti, Monica Miozzo
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-13 (2024)
Abstract Pharmacogenetics investigates sequence of genes that affect drug response, enabling personalized medication. This approach reduces drug-induced adverse reactions and improves clinical effectiveness, making it a crucial consideration for pers
Externí odkaz:
https://doaj.org/article/ee98d4d6ede14313a133bbdf3fbf6f01
Federated learning is one of the most appealing alternatives to the standard centralized learning paradigm, allowing a heterogeneous set of devices to train a machine learning model without sharing their raw data. However, it requires a central serve
Externí odkaz:
http://arxiv.org/abs/2209.07124
Autor:
Gustavo Gomes Resende, Carla Goncalves Schahin Saad, Claudia Diniz Lopes Marques, Sandra Lúcia Euzébio Ribeiro, Maria Bernadete Renoldi de Oliveira Gavi, Michel Alexandre Yazbek, Adriana de Oliveira Marinho, Rita de Cássia Menin, Manuella Lima Gomes Ochtrop, Andressa Miozzo Soares, Nara Gualberto Cavalcanti, Jamille Nascimento Carneiro, Glaucio Ricardo Werner de Castro, José Mauro Carneiro Fernandes, Elziane da Cruz Ribeiro E Souza, Corina Quental de Menezes Alvarenga, Rejane Maria Rodrigues de Abreu Vieira, Natalia Pereira Machado, Antônio Carlos Ximenes, Morgana Ohira Gazzeta, Cleandro Pires de Albuquerque, Thelma Larocca Skare, Mauro Waldemar Keiserman, Charles Lubianca Kohem, Gabriel Sarkis Benacon, Vítor Florêncio Santos Rocha, Ricardo da Cruz Lage, Olivio Brito Malheiro, Rywka Tenenbaum Medeiros Golebiovski, Thauana Luiza Oliveira, Ruben Horst Duque, Ana Carolina Londe, Marcelo de Medeiros Pinheiro, Percival Degrava Sampaio-Barros
Publikováno v:
Advances in Rheumatology, Vol 64, Iss 1, Pp 1-8 (2024)
Abstract Background There is a remarkable variability in the frequency of HLA-B27 positivity in patients with spondyloarthritis (SpA), which may be associated with different clinical presentations worldwide. However, there is a lack of data consideri
Externí odkaz:
https://doaj.org/article/be69646e5ec84336a059b18b6ed87b87
Autor:
Laura Guarnaccia, Stefania Elena Navone, Laura Begani, Emanuela Barilla, Emanuele Garzia, Rolando Campanella, Monica Miozzo, Laura Fontana, Giovanni Alotta, Chiara Cordiglieri, Chiara Gaudino, Luigi Schisano, Antonella Ampollini, Laura Riboni, Marco Locatelli, Giovanni Marfia
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionGlioblastoma IDH-wildtype (GBM) is the most malignant brain tumor in adults, with a poor prognosis of approximately 15 months after diagnosis. Most patients suffer from a recurrence in
Externí odkaz:
https://doaj.org/article/4ff36f582b654f4c962dae7e5c58ef3e
Autor:
Rover, Marciane Maria, Scolari, Fernando Luis, Trott, Geraldine, da Silva, Mariana Motta Dias, de Souza, Denise, da Rosa Minho dos Santos, Rosa, De Carli Schardosim, Raíne Fogliati, de Souza Roldão, Emelyn, Pozza Estivalete, Gabriel, Rech, Gabriela Soares, Mocellin, Duane, de Souza, Jennifer Menna Barreto, Miozzo, Aline Paula, Itaqui, Carolina Rothmann, da Silva, Gabrielle Nunes, de Mesquita Neto, Juliana, Freitas, Hellen Jordan Martins, dos Santos, Catherine Vitória Pereira, da Silveira, Alanys Santos, D’Ávila, Carla Moura, Soares, Christian Morais, Vítor Gozzi, João, dos Santos, Ingrid Flor, Carvalho, Sidiclei Machado, Irineu, Vivian Menezes, Silvestre, Odilson Marcos, do Carmo Marinho Borges, Kênia, de Menezes Neves, Precil Diego Miranda, Junior, Fernando Azevedo Medrado, Schleder, Juliana Carvalho, dos Santos, Thiago Pelissari, Lanna Figueiredo, Estêvão, da Fonseca, Benedito Antonio Lopes, Zimmermann, Sérgio Luiz, Pompilho, Mauricio Antonio, Facchi, Luciane Maria, Gebara, Otavio Celso Eluf, Marcolino, Milena Soriano, Antonio, Ana Carolina Peçanha, Schvartzman, Paulo R, Barreto, Bruna Brandao, Robinson, Caroline Cabral, Falavigna, Maicon, Nasi, Luiz Antônio, Polanczyk, Carisi Anne, Biolo, Andreia, Rosa, Regis Goulart
Publikováno v:
In Vaccine: X December 2024 21
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
Recent advancements in reproductive medicine have guided novel strategies for addressing male infertility, particularly in cases of non-obstructive azoospermia (NOA). Two prominent invasive interventions, namely testicular sperm extraction (TESE) and
Externí odkaz:
https://doaj.org/article/5cc6ce4cbbf744bd89944d75233d34c7