Zobrazeno 1 - 10
of 1 816
pro vyhledávání: '"Persia A"'
Autor:
Harveen Bongao, Manjaiah M, Persia Ada de Yro, Jubert Pasco, Thomas McCarthy, Kudakwashe Nyamuchiwa, Clodualdo Aranas Jr
Publikováno v:
Materials Research Express, Vol 11, Iss 5, p 056501 (2024)
Martensitic stainless steels are indispensable alloys in various high stress and temperature applications such as plastic injection molds and components in steam generators. Subtractive manufacturing methods used to fabricate these parts, however, li
Externí odkaz:
https://doaj.org/article/b8eb7a2648014123897a64d7a661b0e5
Inspired by the success of large language models (LLM) for DNA and proteins, several LLM for RNA have been developed recently. RNA-LLM uses large datasets of RNA sequences to learn, in a self-supervised way, how to represent each RNA base with a sema
Externí odkaz:
http://arxiv.org/abs/2410.16212
Stochastic Gradient Descent (SGD) is an out-of-equilibrium algorithm used extensively to train artificial neural networks. However very little is known on to what extent SGD is crucial for to the success of this technology and, in particular, how muc
Externí odkaz:
http://arxiv.org/abs/2309.04788
Publikováno v:
SciPost Phys. 15, 219 (2023)
We consider a recently proposed model to understand the rigidity transition in confluent tissues and we derive the dynamical mean field theory (DMFT) equations that describes several types of dynamics of the model in the thermodynamic limit: gradient
Externí odkaz:
http://arxiv.org/abs/2306.06420
Autor:
Przybysz, Emilia, Bhattarai, Bimal, Persia, Cosimo, Ozaki, Ana, Granmo, Ole-Christoffer, Sharma, Jivitesh
Tsetlin Machines (TsMs) are a promising and interpretable machine learning method which can be applied for various classification tasks. We present an exact encoding of TsMs into propositional logic and formally verify properties of TsMs using a SAT
Externí odkaz:
http://arxiv.org/abs/2303.14464
Autor:
Persia, Cosimo, Ozaki, Ana
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop 2022
We investigate the problem of extracting rules, expressed in Horn logic, from neural network models. Our work is based on the exact learning model, in which a learner interacts with a teacher (the neural network model) via queries in order to learn a
Externí odkaz:
http://arxiv.org/abs/2204.00360
Autor:
Petel Légaré, Virginie, Harji, Ziyaan A., Rampal, Christian J., Antonicka, Hana, Gurberg, Tyler J.N., Persia, Olivia, Rodríguez, Esteban C., Shoubridge, E.A., Armstrong, Gary A.B.
Publikováno v:
In Experimental Neurology December 2024 382
Publikováno v:
In Journal of Applied Poultry Research December 2024 33(4)
Autor:
Fitzpatrick, Tiffany, Yamoah, Peter, Lacuesta, Gina, Sadarangani, Manish, Cook, Victoria, Pourshahnazari, Persia, Kalicinsky, Chrystyna, Upton, Julia E.M., Cameron, Scott B., Zaborniak, Karver, Kanani, Amin, Lam, Godfrey, Burton, Catherine, Constantinescu, Cora, Pernica, Jeffrey M., Abdurrahman, Zainab, Betschel, Stephen, Drolet, Jean-Philippe, De Serres, Gaston, Quach, Caroline, Des Roches, Anne, Chapdelaine, Hugo, Salvadori, Marina I., Carignan, Alex, McConnell, Athena, Pham-Huy, Anne, Buchan, C. Arianne, Cowan, Juthaporn, Hildebrand, Kyla, Top, Karina A.
Publikováno v:
In Vaccine 24 October 2024 42(24)
Autor:
Anna Maria Musolino, Sabrina Persia, Maria Chiara Supino, Francesca Stoppa, Lelia Rotondi Aufiero, Raffaella Nacca, Laura Papini, Mara Pisani, Sebastian Cristaldi, Anna Chiara Vittucci, Livia Antilici, Corrado Cecchetti, Massimiliano Raponi, Vinay Nadkarni, Alberto Villani
Publikováno v:
Children, Vol 11, Iss 11, p 1273 (2024)
(1) Background: Helmet Continuous Positive Airway Pressure (H-CPAP) has primarily been used in intensive care settings to treat moderate-to-severe bronchiolitis in infants. We aim to report on the feasibility of H-CPAP for selected infants with bronc
Externí odkaz:
https://doaj.org/article/56ae859373f641b5b1ad901e963943ad