Zobrazeno 1 - 10
of 3 603
pro vyhledávání: '"A, Velardi"'
Monitoring the stress level in patients with neurodegenerative diseases can help manage symptoms, improve patient's quality of life, and provide insight into disease progression. In the literature, ECG, actigraphy, speech, voice, and facial analysis
Externí odkaz:
http://arxiv.org/abs/2407.03821
NL2VIS (natural language to visualization) is a promising and recent research area that involves interpreting natural language queries and translating them into visualizations that accurately represent the underlying data. As we navigate the era of b
Externí odkaz:
http://arxiv.org/abs/2406.15259
Autor:
Brunbauer, F. M., Chatterjee, C., Cicala, G., Cicuttin, A., Crespo, M. L., D'Ago, D., Torre, S. Dalla, Dasgupta, S., Gregori, M., Levorato, S., Ligonzo, T., Lisowska, M., Leone, M. S., Rai, R., Ropelewski, L., Tessarotto, F., Triloki, Valentini, A., Velardi, L.
Publikováno v:
Nucl. Instr. Meth. A 1048 (2023) 168014
The proposed new Electron-Ion Collider poses a technical and intellectual challenge for the detector design to accommodate the long-term diverse physics goals envisaged by the program. This requires a 4{\pi} detector system capable of reconstructing
Externí odkaz:
http://arxiv.org/abs/2402.13966
Autor:
Brunbauer, F. M., Chatterjee, C., Cicala, G., Cicuttin, A., Crespo, M. L., D'Ago, D., Torre, S. Dalla, Dasgupta, S., Gregori, M., Levorato, S., Ligonzo, T., Lisowska, M., Leone, M. S., Rai, R., Ropelewski, L., Tessarotto, F., Triloki, Valentini, A., Velardi, L.
Publikováno v:
Nucl. Instr. Meth. A 1056 (2023) 168575
The next generation of gaseous photon detectors is requested to overcome the limitations of the available technology, in terms of resolution and robustness. The quest for a novel photocathode, sensitive in the far vacuum ultra violet wavelength range
Externí odkaz:
http://arxiv.org/abs/2401.17485
Autor:
Marco Rosichini, Giada Del Baldo, Carmen Dolores De Luca, Francesca Benini, Shirley Genah, Maria Vinci, Alfredo Cerimele, Marianna Coccetti, Sara Flamini, Rita Carsetti, Antonella Cacchione, Andrea Carai, Angela Mastronuzzi, Franco Locatelli, Enrico Velardi
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Optimal immune function is crucial in preventing cancer development and growth and for the success of anti-cancer therapies. Here, we characterized the peripheral immunological status of 83 steroids-naïve pediatric patients with central ner
Externí odkaz:
https://doaj.org/article/a87a4d109e1345209ffccfb9ffafd1a7
Autor:
Prata, Matteo, Masi, Giuseppe, Berti, Leonardo, Arrigoni, Viviana, Coletta, Andrea, Cannistraci, Irene, Vyetrenko, Svitlana, Velardi, Paola, Bartolini, Novella
The recent advancements in Deep Learning (DL) research have notably influenced the finance sector. We examine the robustness and generalizability of fifteen state-of-the-art DL models focusing on Stock Price Trend Prediction (SPTP) based on Limit Ord
Externí odkaz:
http://arxiv.org/abs/2308.01915
Programming Skills are Not Enough: a Greedy Strategy to Attract More Girls to Study Computer Science
It has been observed in many studies that female students in general are unwilling to undertake a course of study in ICT. Recent literature has also pointed out that undermining the prejudices of girls with respect to these disciplines is very diffic
Externí odkaz:
http://arxiv.org/abs/2302.06304
Autor:
Prenkaj, Bardh, Velardi, Paola
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering 2023
Real-time monitoring of human behaviours, especially in e-Health applications, has been an active area of research in the past decades. On top of IoT-based sensing environments, anomaly detection algorithms have been proposed for the early detection
Externí odkaz:
http://arxiv.org/abs/2302.06228
Publikováno v:
TVCG (2024)
Visualization Recommendation Systems (VRSs) are a novel and challenging field of study aiming to help generate insightful visualizations from data and support non-expert users in information discovery. Among the many contributions proposed in this ar
Externí odkaz:
http://arxiv.org/abs/2302.00569
Autor:
Maranghi, Marianna, Anagnostopoulos, Aris, Cannistraci, Irene, Chatzigiannakis, Ioannis, Croce, Federico, Di Teodoro, Giulia, Gentile, Michele, Grani, Giorgio, Lenzerini, Maurizio, Leonardi, Stefano, Mastropietro, Andrea, Palagi, Laura, Pappa, Massimiliano, Rosati, Riccardo, Valentini, Riccardo, Velardi, Paola
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This paper presents the initial results of an ongoing project whose focus i
Externí odkaz:
http://arxiv.org/abs/2206.06182