Zobrazeno 1 - 10
of 2 150
pro vyhledávání: '"Pontieri, A."'
Autor:
Graziosi, Riccardo, Ronzani, Massimiliano, Buliga, Andrei, Di Francescomarino, Chiara, Folino, Francesco, Ghidini, Chiara, Meneghello, Francesca, Pontieri, Luigi
In recent years, trace generation has emerged as a significant challenge within the Process Mining community. Deep Learning (DL) models have demonstrated accuracy in reproducing the features of the selected processes. However, current DL generative m
Externí odkaz:
http://arxiv.org/abs/2411.02131
Publikováno v:
Proceedings of the 1st International Workshop on Explainable Knowledge Aware Process Intelligence, June 20--22, 2024, Roccella Jonica, Italy
Process Outcome Prediction entails predicting a discrete property of an unfinished process instance from its partial trace. High-capacity outcome predictors discovered with ensemble and deep learning methods have been shown to achieve top accuracy pe
Externí odkaz:
http://arxiv.org/abs/2407.13526
Autor:
Hillert J, Butzkueven H, Magyari M, Wergeland S, Moore N, Soilu-Hänninen M, Ziemssen T, Kuhle J, Pontieri L, Forsberg L, Aarseth JH, Zhu C, Sicignano N, Mushnikov V, Bezemer I, Sabidó M
Publikováno v:
Clinical Epidemiology, Vol Volume 16, Pp 717-732 (2024)
Jan Hillert,1 Helmut Butzkueven,2,3 Melinda Magyari,4 Stig Wergeland,5,6 Nicholas Moore,7 Merja Soilu-Hänninen,8 Tjalf Ziemssen,9 Jens Kuhle,10 Luigi Pontieri,11 Lars Forsberg,1 Jan Harald Aarseth,5 Chao Zhu,2 Nicholas Sicignano,12 Vasili Mushnikov,
Externí odkaz:
https://doaj.org/article/674389b6a6eb422ab2ed3ad92c81cbbf
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-37 (2024)
Abstract In this paper, a framework based on a sparse Mixture of Experts (MoE) architecture is proposed for the federated learning and application of a distributed classification model in domains (like cybersecurity and healthcare) where different pa
Externí odkaz:
https://doaj.org/article/b7074f2d85ca446e9dfcc30bd2b80274
Autor:
Paola Pontieri, Jacopo Troisi, Matteo Calcagnile, Fadi Aramouni, Michael Tilley, Dmitriy Smolensky, Marco Guida, Fabio Del Giudice, Antonio Merciai, Iryna Samoylenko, Alberto L. Chessa, Mariarosaria Aletta, Pietro Alifano, Luigi Del Giudice
Publikováno v:
Foods, Vol 13, Iss 22, p 3634 (2024)
Sorghum is a self-pollinating species belonging to the Poaceae family characterized by a resistance to drought higher than that of corn. Sorghum (Sorghum bicolor L. Moench) has been grown for centuries as a food crop in tropical areas where it has an
Externí odkaz:
https://doaj.org/article/47263a78da95424ea61197b92e4660af
Akademický článek
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Akademický článek
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Autor:
Alessandro Zampogna, Luigi Borzì, Domiziana Rinaldi, Carlo Alberto Artusi, Gabriele Imbalzano, Martina Patera, Leonardo Lopiano, Francesco Pontieri, Gabriella Olmo, Antonio Suppa
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 440 (2024)
Background: Dyskinesias and freezing of gait are episodic disorders in Parkinson’s disease, characterized by a fluctuating and unpredictable nature. This cross-sectional study aims to objectively monitor Parkinsonian patients experiencing dyskinesi
Externí odkaz:
https://doaj.org/article/7aa7e3e759db470ba8fc22f8ef385d15
Autor:
Tim Spelman, Melinda Magyari, Helmut Butzkueven, Anneke Van Der Walt, Sandra Vukusic, Maria Trojano, Pietro Iaffaldano, Dana Horáková, Jirí Drahota, Fabio Pellegrini, Robert Hyde, Pierre Duquette, Jeannette Lechner-Scott, Seyed Aidin Sajedi, Patrice Lalive, Vahid Shaygannejad, Serkan Ozakbas, Sara Eichau, Raed Alroughani, Murat Terzi, Marc Girard, Tomas Kalincik, Francois Grand'Maison, Olga Skibina, Samia J. Khoury, Bassem Yamout, Maria Jose Sa, Oliver Gerlach, Yolanda Blanco, Rana Karabudak, Celia Oreja-Guevara, Ayse Altintas, Stella Hughes, Pamela McCombe, Radek Ampapa, Koen de Gans, Chris McGuigan, Aysun Soysal, Julie Prevost, Nevin John, Jihad Inshasi, Leszek Stawiarz, Ali Manouchehrinia, Lars Forsberg, Finn Sellebjerg, Anna Glaser, Luigi Pontieri, Hanna Joensen, Peter Vestergaard Rasmussen, Tobias Sejbaek, Mai Bang Poulsen, Jeppe Romme Christensen, Matthias Kant, Morten Stilund, Henrik Mathiesen, Jan Hillert, The Big MS Data Network: a collaboration of the Czech MS Registry, the Danish MS Registry, Italian MS Registry, Swedish MS Registry, MSBase Study Group, and OFSEP
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
BackgroundTreatment switching is a common challenge and opportunity in real-world clinical practice. Increasing diversity in disease-modifying treatments (DMTs) has generated interest in the identification of reliable and robust predictors of treatme
Externí odkaz:
https://doaj.org/article/3d52ca1fdc794fa48cba7a9cc328885d
Autor:
Buron, Mathias Due, Christensen, Jeppe Romme, Pontieri, Luigi, Joensen, Hanna, Kant, Matthias, Rasmussen, Peter Vestergaard, Sellebjerg, Finn, Sørensen, Per Soelberg, Bech, Danny, Magyari, Melinda
Publikováno v:
In Multiple Sclerosis and Related Disorders June 2023 74