Zobrazeno 1 - 10
of 9 963
pro vyhledávání: '"A, Catena"'
Autor:
Buyl, Maarten, Rogiers, Alexander, Noels, Sander, Dominguez-Catena, Iris, Heiter, Edith, Romero, Raphael, Johary, Iman, Mara, Alexandru-Cristian, Lijffijt, Jefrey, De Bie, Tijl
Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI) assistants
Externí odkaz:
http://arxiv.org/abs/2410.18417
Machine learning models can inherit biases from their training data, leading to discriminatory or inaccurate predictions. This is particularly concerning with the increasing use of large, unsupervised datasets for training foundational models. Tradit
Externí odkaz:
http://arxiv.org/abs/2406.17405
Autor:
Balan, Sowmiya, Balázs, Csaba, Bringmann, Torsten, Cappiello, Christopher, Catena, Riccardo, Emken, Timon, Gonzalo, Tomás E., Gray, Taylor R., Handley, Will, Huynh, Quan, Kahlhoefer, Felix, Vincent, Aaron C.
Sub-GeV dark matter (DM) particles produced via thermal freeze-out evade many of the strong constraints on heavier DM candidates but at the same time face a multitude of new constraints from laboratory experiments, astrophysical observations and cosm
Externí odkaz:
http://arxiv.org/abs/2405.17548
Autor:
Catena, Riccardo, Urdshals, Einar
We train a deep neural network (DNN) to output rates of dark matter (DM) induced electron excitations in silicon and germanium detectors. Our DNN provides a massive speedup of around $5$ orders of magnitude relative to existing methods (i.e. QEdark-E
Externí odkaz:
http://arxiv.org/abs/2403.07053
Autor:
Catena, Riccardo, Spaldin, Nicola
We combine the non-relativistic effective theory of dark matter (DM) - electron interactions with linear response theory to obtain a formalism that fully accounts for screening and collective excitations in DM-induced electronic transition rate calcu
Externí odkaz:
http://arxiv.org/abs/2402.06817
In the last few years, Artificial Intelligence systems have become increasingly widespread. Unfortunately, these systems can share many biases with human decision-making, including demographic biases. Often, these biases can be traced back to the dat
Externí odkaz:
http://arxiv.org/abs/2312.14626
Autor:
Giacomo Sermonesi, Riccardo Bertelli, Fredric M. Pieracci, Zsolt J. Balogh, Raul Coimbra, Joseph M. Galante, Andreas Hecker, Dieter Weber, Zachary M. Bauman, Susan Kartiko, Bhavik Patel, SarahAnn S. Whitbeck, Thomas W. White, Kevin N. Harrell, Daniele Perrina, Alessia Rampini, Brian Tian, Francesco Amico, Solomon G. Beka, Luigi Bonavina, Marco Ceresoli, Lorenzo Cobianchi, Federico Coccolini, Yunfeng Cui, Francesca Dal Mas, Belinda De Simone, Isidoro Di Carlo, Salomone Di Saverio, Agron Dogjani, Andreas Fette, Gustavo P. Fraga, Carlos Augusto Gomes, Jim S. Khan, Andrew W. Kirkpatrick, Vitor F. Kruger, Ari Leppäniemi, Andrey Litvin, Andrea Mingoli, David Costa Navarro, Eliseo Passera, Michele Pisano, Mauro Podda, Emanuele Russo, Boris Sakakushev, Domenico Santonastaso, Massimo Sartelli, Vishal G. Shelat, Edward Tan, Imtiaz Wani, Fikri M. Abu-Zidan, Walter L. Biffl, Ian Civil, Rifat Latifi, Ingo Marzi, Edoardo Picetti, Manos Pikoulis, Vanni Agnoletti, Francesca Bravi, Carlo Vallicelli, Luca Ansaloni, Ernest E. Moore, Fausto Catena
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-35 (2024)
Abstract Background Rib fractures are one of the most common traumatic injuries and may result in significant morbidity and mortality. Despite growing evidence, technological advances and increasing acceptance, surgical stabilization of rib fractures
Externí odkaz:
https://doaj.org/article/ab27c29fa0fe454cb5512281972ddd3d
Autor:
José M. Ramia, Mario Serradilla-Martín, Celia Villodre, Juan J. Rubio, Fernando Rotellar, Ajith K. Siriwardena, Go Wakabayashi, Fausto Catena, PERCHODEL Collaborative Study Group
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract Background There has been a progressive increase in the use of percutaneous cholecystostomy (PC) in acute cholecystitis (AC) over the last decades due to population aging, and the support of guidelines (Tokyo Guidelines (TG), World Society o
Externí odkaz:
https://doaj.org/article/7f3f5316570a45989b1c3cb4f9d4039b
Autor:
Fabrizio Turiaco, Fiammetta Iannuzzo, Giovanni Genovese, Clara Lombardo, Maria Catena Silvestri, Laura Celebre, Maria Rosaria Anna Muscatello, Antonio Bruno
Publikováno v:
AIMS Neuroscience, Vol 11, Iss 3, Pp 341-351 (2024)
Background Schizophrenia is characterized by significant cognitive impairments and affects up to 98% of patients. Neurofeedback (NF) offers a means to modulate neural network function through cognitive processes such as learning and memorization, wit
Externí odkaz:
https://doaj.org/article/cd6745a90c824309835d48f995d99422
Autor:
Mauro Podda, Valentina Murzi, Paola Marongiu, Marcello Di Martino, Belinda De Simone, Kumar Jayant, Monica Ortenzi, Federico Coccolini, Massimo Sartelli, Fausto Catena, Benedetto Ielpo, Adolfo Pisanu
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-23 (2024)
Abstract Background Recent studies suggest that low-molecular-weight heparin (LMWH) may play a role in mitigating the severity of acute pancreatitis (AP). This systematic review and meta-analysis aims to synthesise existing evidence on the effectiven
Externí odkaz:
https://doaj.org/article/db88adba55684123a594106f91023a7a