Zobrazeno 1 - 10
of 255 742
pro vyhledávání: '"Valeria, A."'
Autor:
Ruo, Andrea, Arreghini, Simone, Capra, Luca, De Chiara, Rosario, Di Pasquale, Valeria, Giusti, Alessandro, Iani, Cristina, Paolillo, Antonio, Petrak, Dominic, Plaum, Alexander, Quamara, Megha, Sabattini, Lorenzo, Schmuck, Viktor, Servillo, Paolo, Zurolo, Francesco, Villani, Valeria
In modern society, service robots are increasingly recognized for their wide range of practical applications. In large and crowded social spaces, such as museums and hospitals, these robots are required to safely move in the environment while exhibit
Externí odkaz:
http://arxiv.org/abs/2409.08677
Autor:
Burzacchi, Arianna, Urbano, Valeria Maria, Arena, Marika, Azzone, Giovanni, Secchi, Piercesare, Vantini, Simone
The analysis of the transportation usage rate provides opportunities for evaluating the efficacy of the transportation service offered by proposing an indicator that integrates actual demand and capacity. This study aims to develop a methodology for
Externí odkaz:
http://arxiv.org/abs/2410.12618
Autor:
Parente, Massimiliano, Ragone-Figueroa, Cinthia, Granato, Gian Luigi, Silva, Laura, Coenda, Valeria, Martínez, Héctor J., Muriel, Hernán, Lapi, Andrea
Context. Green valley (GV) galaxies are objects defined on a color-magnitude, or color-mass, diagram which are associated with a transition from a star-forming to a quiescent state (quenching), or vice versa (rejuvenation). Aims. We study the sub-mm
Externí odkaz:
http://arxiv.org/abs/2410.05385
Recently, deep learning models have increasingly been used in cognitive modelling of language. This study asks whether deep learning can help us to better understand the learning problem that needs to be solved by speakers, above and beyond linear me
Externí odkaz:
http://arxiv.org/abs/2410.04259
Autor:
Dodds, Tomás, Vandendaele, Astrid, Simon, Felix M., Helberger, Natali, Resendez, Valeria, Yeung, Wang Ngai
The effective adoption of responsible AI practices in journalism requires a concerted effort to bridge different perspectives, including technological, editorial, journalistic, and managerial. Among the many challenges that could impact information s
Externí odkaz:
http://arxiv.org/abs/2410.01138
Autor:
Cristiani, Valeria A., Abadi, Mario G., Taverna, Antonela, Cabral, Juan, Benelli, Federico, Sánchez, Bruno
Galaxy formation is intrinsically connected to the distinct evolutionary processes of disk and spheroidal systems, which are the fundamental stellar components of galaxies. Understanding the mutual dynamical interplay and co-evolution of these compon
Externí odkaz:
http://arxiv.org/abs/2410.00105
Autor:
Caudo, Domenico, Giannattasio, Chiara, Scalise, Simone, de Turris, Valeria, Giavazzi, Fabio, Ruocco, Giancarlo, Gosti, Giorgio, Peruzzi, Giovanna, Miotto, Mattia
Asymmetric partition of fate determinants during cell division is a hallmark of cell differentiation. Recent works suggested that such a mechanism is hijacked by cancer cells to increase both their phenotypic heterogeneity and plasticity and in turn
Externí odkaz:
http://arxiv.org/abs/2409.19469
Autor:
Levati, Valerio, Vitali, Matteo, Del Giacco, Andrea, Pellizzi, Nicola, Silvani, Raffaele, Mavilla, Luca Ciaccarini, Madami, Marco, Biancardi, Irene, Girardi, Davide, Panzeri, Matteo, Florio, Piero, Breitbach, David, Pirro, Philipp, Rovatti, Ludovica, Lecis, Nora, Maspero, Federico, Bertacco, Riccardo, Corrielli, Giacomo, Osellame, Roberto, Russo, Valeria, Bassi, Andrea Li, Tacchi, Silvia, Petti, Daniela, Albisetti, Edoardo
The exceptional magnetic, optical and phononic properties of Yttrium Iron Garnet (YIG) make it unique for spin-wave based and photonic applications. Yet, nanostructuring crystalline YIG and manipulating its magnetism in a non-destructive way is an ou
Externí odkaz:
http://arxiv.org/abs/2409.17722
Forest loss due to natural events, such as wildfires, represents an increasing global challenge that demands advanced analytical methods for effective detection and mitigation. To this end, the integration of satellite imagery with deep learning (DL)
Externí odkaz:
http://arxiv.org/abs/2409.16380
Quantum enhanced stratification of Breast Cancer: exploring quantum expressivity for real omics data
Quantum Machine Learning (QML) is considered one of the most promising applications of Quantum Computing in the Noisy Intermediate Scale Quantum (NISQ) era for the impact it is thought to have in the near future. Although promising theoretical assump
Externí odkaz:
http://arxiv.org/abs/2409.14089