Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Lucia Cavallaro"'
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0299255 (2024)
Despite the huge importance that the centrality metrics have in understanding the topology of a network, too little is known about the effects that small alterations in the topology of the input graph induce in the norm of the vector that stores the
Externí odkaz:
https://doaj.org/article/a7bbbbdaba4c425194bd732520814040
Autor:
Annamaria Ficara, Lucia Cavallaro, Francesco Curreri, Giacomo Fiumara, Pasquale De Meo, Ovidiu Bagdasar, Wei Song, Antonio Liotta
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
Data collected in criminal investigations may suffer from issues like: (i) incompleteness, due to the covert nature of criminal organizations; (ii) incorrectness, caused by either unintentional data collection errors or intentional deception by crimi
Externí odkaz:
https://doaj.org/article/11c848f35e2c47729b66b384f6ea4022
Autor:
Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Wei Song, Antonio Liotta
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0236476 (2020)
Compared to other types of social networks, criminal networks present particularly hard challenges, due to their strong resilience to disruption, which poses severe hurdles to Law-Enforcement Agencies (LEAs). Herein, we borrow methods and tools from
Externí odkaz:
https://doaj.org/article/54be878aff9f4dbb9d48f15fca82c8ce
Autor:
Laura C. Laurella, Fernanda M. Frank, Andrea Sarquiz, María R. Alonso, Gustavo Giberti, Lucia Cavallaro, Cesar A. Catalán, Silvia I. Cazorla, Emilio Malchiodi, Virginia S. Martino, Valeria P. Sülsen
Publikováno v:
The Scientific World Journal, Vol 2012 (2012)
The aim of this study was to investigate the antiprotozoal and antiviral activities of four Argentinean Mikania species. The organic and aqueous extracts of Mikania micrantha, M. parodii, M. periplocifolia, and M. cordifolia were tested on Trypanosom
Externí odkaz:
https://doaj.org/article/581b7dc9afd9473f87164373be1f0696
Akademický článek
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Autor:
Villar, Pedro Maximink Esteves, Mendes, Paulo Roberto Araújo, Kiyota, Tatiana Alves, Engleitner, Henrique Alcântara, Tamesawa, Carolina Salem, Morello, Mayara Magalhães, Basso, Nayara Nobre, Arruda, Lucas Fileti, Vian, Bruna Scharlack, Ratti, Lígia dos Santos Roceto, de Oliveira, Laís Bacchin, Lima, Ana Lucia Cavallaro Baraúna, Ceccato, Hugo Dugolin, Silva, Julian Furtado, Villalba, Wander de Oliveira, Conterno, Lucieni de Oliveira, Resende, Mariângela Ribeiro, Pereira, Mônica Corso
Supplemental material, sj-pdf-1-imr-10.1177_03000605231177187 for Oximetry at admission as a predictor of tomographic and functional impairment after 3–6 months in hospitalized patients with COVID-19 by Pedro Maximink Esteves Villar, Paulo Roberto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22d5da35cdc95445587b09c11397e4c
Autor:
Lucia Cavallaro, Pasquale De Meo, Keyvan Golalipour, Xiaoyang Liu, Giacomo Fiumara, Andrea Tagarelli, Antonio Liotta
Publikováno v:
Complex Networks and Their Applications XI ISBN: 9783031211300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c24429801a50e0556e6a21e50b5599df
https://doi.org/10.1007/978-3-031-21131-7_34
https://doi.org/10.1007/978-3-031-21131-7_34
Publikováno v:
Computer methods and programs in biomedicine. 223
Many developed and non-developed countries worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in females increases daily, partially due to unawareness and undiagnosed at the early stages. A proper first brea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::85328ec8d0cebcbe626569c39f7ef505
https://pubmed.ncbi.nlm.nih.gov/35767911
https://pubmed.ncbi.nlm.nih.gov/35767911
Autor:
Lorenzo Cortese, Marta Zanoletti, Laís Bacchin de Oliveira, Miquel Barcelona, Lilian Elisabete Bernardes Delazari, Erin M. Buckley, David R. Busch, Alba Caballer, Verónica Carbajal Robles, Pedro Castro, Ana Lucia Cavallaro Barauna Lima, Sreekanth Cheruku, Luis Chiscano, Christopher Choi, Rickson C. Mesquita, Siddharth Dave, Lígia dos Santos Roceto Ratti, Antonio Luis Eiras Falcão, Cristina Espinal, Sara Fernández, Ricard Ferrer, Francesc Font, Marina García-de-Acilu, Giacomo Grasselli, Guillem Gruartmoner, Amedeo Guzzardella, Umut Karadeniz, Peiman Lahsaei, Gabriela Lívio Emídio, Judith Marin Corral, Ana Matas, Rodrigo Menezes Forti, Abraham Mera, Felix Jerandy Monte De Oca Hernández, Tim Myers, Sara Nogales, DaiWai Olson, Marco Pagliazzi, Melvin Parada Guzmán, Argelia Pérez Pacheco, Puri Pérez Terán, Lucia Picazo, Diana Pineda Vásquez, Andrés Fabian Quiroga Soto, Rosa Maria Quispe Siccha, David Romero, Enrique Santillán Aguayo, Isabel Serra, Raúl Serrano Loyola, Adrian Téllez Santoyo, Leandro Utino Taniguchi, Clara Vilà, M. Weinmann, Alberto Zanella, Jaume Mesquida, Turgut Durduran
Publikováno v:
Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables III.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a2d2702b801459f2e8a834237dac88f
https://doi.org/10.1117/12.2608540
https://doi.org/10.1117/12.2608540
Publikováno v:
Soft Computing. 24:17787-17795
The development of deep learning has led to a dramatic increase in the number of applications of artificial intelligence. However, the training of deeper neural networks for stable and accurate models translates into artificial neural networks (ANNs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e373c6d6c179079f229a5c123bc16b71
https://doi.org/10.1007/s00500-020-05302-y
https://doi.org/10.1007/s00500-020-05302-y