Zobrazeno 1 - 10
of 12 017
pro vyhledávání: '"Santin, A"'
Robot interaction control is often limited to low dynamics or low flexibility, depending on whether an active or passive approach is chosen. In this work, we introduce a hybrid control scheme that combines the advantages of active and passive interac
Externí odkaz:
http://arxiv.org/abs/2409.10024
The separation power of a machine learning model refers to its capacity to distinguish distinct inputs, and it is often employed as a proxy for its expressivity. In this paper, we propose a theoretical framework to investigate the separation power of
Externí odkaz:
http://arxiv.org/abs/2406.08966
Autor:
Ferrarotti, Laura, Luca, Massimiliano, Santin, Gabriele, Previati, Giorgio, Mastinu, Gianpiero, Gobbi, Massimiliano, Campi, Elena, Uccello, Lorenzo, Albanese, Antonino, Zalaya, Praveen, Roccasalva, Alessandro, Lepri, Bruno
Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist with human-driven cars. While optimizing Reinforcement Learning (RL) pol
Externí odkaz:
http://arxiv.org/abs/2309.08254
Autor:
Cencetti, Giulia, Lucchini, Lorenzo, Santin, Gabriele, Battiston, Federico, Moro, Esteban, Pentland, Alex, Lepri, Bruno
Non-pharmaceutical measures such as preventive quarantines, remote working, school and workplace closures, lockdowns, etc. have shown effectivenness from an epidemic control perspective; however they have also significant negative consequences on soc
Externí odkaz:
http://arxiv.org/abs/2308.07058
Autor:
Loredana Mulas, Elena Santini, Marta Azzolin, Mauro Buonocore, Ilaria Campana, Lara Carosso, Giovanni Coppini, Matteo Costantino, Léa David, Marianna Farina, Livio Favaro, Natalia Fraija-Fernández, Marco Gamba, Maria Leonor Garcia Gutiérrez, Cristina Giacoma, Martina Gregorietti, Rita Lecci, Giulia Luzi, Fulvio Maffucci, Francesco Paolo Mancuso, Valeria Masala, Erica Moura, Eugenia Pasanisi, Juan Antonio Raga, Selvaggia Santin, Gianluca Sarà, Antonella Servidio, Paola Tepsich, Francesco Tomasinelli, Gianluca Treglia, Roberta Teti, Elena Valsecchi, Morgana Vighi, Antonella Arcangeli
Publikováno v:
ARPHA Proceedings, Vol 6, Iss , Pp 79-82 (2024)
The manuscript provides an overview of the mid-term results of the citizen science campaign activities conducted within the Life CONCEPTU MARIS project (LIFE20 NAT/IT/001371) whose aim is to improve the conservation status of cetaceans and pelagic se
Externí odkaz:
https://doaj.org/article/7c431af246584a428e3a8eede52379eb
Autor:
Aline Scarpellini Campos, Ana Claúdia Franco, Fernanda M. Godinho, Rosana Huff, Darlan S. Candido, Jader da Cruz Cardoso, Xinyi Hua, Ingra M. Claro, Paola Morais, Carolina Franceschina, Thales de Lima Bermann, Franciellen Machado dos Santos, Milena Bauermann, Tainá Machado Selayaran, Amanda Pellenz Ruivo, Cristiane Santin, Juciane Bonella, Carla Rodenbusch, José Carlos Ferreira, Scott C. Weaver, Vilar Ricardo Gewehr, Gabriel Luz Wallau, William M. de Souza, Richard Steiner Salvato
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 9, Pp 1834-1840 (2024)
Western equine encephalitis virus (WEEV) is a mosquitoborne virus that reemerged in December 2023 in Argentina and Uruguay, causing a major outbreak. We investigated the outbreak using epidemiologic, entomological, and genomic analyses, focusing on W
Externí odkaz:
https://doaj.org/article/128a403fa6bf45b3bcfdcfb02ea74966
Kernel interpolation is a versatile tool for the approximation of functions from data, and it can be proven to have some optimality properties when used with kernels related to certain Sobolev spaces. In the context of interpolation, the selection of
Externí odkaz:
http://arxiv.org/abs/2307.09811
Autor:
Spiller, Dario, Santin, Gabriele, Sebastianelli, Alessandro, Lucchini, Lorenzo, Gallotti, Riccardo, Lake, Brennan, Ullo, Silvia Liberata, Saux, Bertrand Le, Lepri, Bruno
COVID-19 had a strong and disruptive impact on our society, and yet further analyses on most relevant factors explaining the spread of the pandemic are needed. Interdisciplinary studies linking epidemiological, mobility, environmental, and socio-demo
Externí odkaz:
http://arxiv.org/abs/2302.14649
Autor:
Longa, Antonio, Lachi, Veronica, Santin, Gabriele, Bianchini, Monica, Lepri, Bruno, Lio, Pietro, Scarselli, Franco, Passerini, Andrea
Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static) graph-structured data. However, many real-world systems are dynamic in nature, since the graph and node/edge attributes change over time. In recent years, GNN-base
Externí odkaz:
http://arxiv.org/abs/2302.01018
Autor:
Zakariya Al-Naamani, Kevin Gormley, Helen Noble, Olinda Santin, Omar Al Omari, Huda Al-Noumani, Norah Madkhali
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Background Fatigue among patients with end-stage kidney disease (ESKD) receiving haemodialysis imposes a substantial burden on patients’ quality of life and expected treatment outcomes. This study explores the perspective on ESKD-related f
Externí odkaz:
https://doaj.org/article/0a7bd279ac7e4bd6bd361183c897c38a