Zobrazeno 1 - 10
of 2 312
pro vyhledávání: '"Certo, A."'
In this study, we aim to determine if generalized sounds and music can share a common emotional space, improving predictions of emotion in terms of arousal and valence. We propose the use of multiple datasets as a multi-domain learning technique. Our
Externí odkaz:
http://arxiv.org/abs/2408.02009
Autor:
Bliese, Paul D.1 (AUTHOR), Certo, S. Trevis2 (AUTHOR), Smith, Anne D.3 (AUTHOR), Wang, Mo4 (AUTHOR), Gruber, Marc5 (AUTHOR)
Publikováno v:
Academy of Management Journal. Aug2024, Vol. 67 Issue 4, p893-902. 10p.
By analyzing the characteristics of hardware-native Ising Models and their performance on current and next generation quantum annealers, we provide a framework for determining the prospect of advantage utilizing adiabatic evolution compared to classi
Externí odkaz:
http://arxiv.org/abs/2311.07388
Publikováno v:
Quantum Machine Intelligence 2023
A framework to learn a multi-modal distribution is proposed, denoted as the Conditional Quantum Generative Adversarial Network (C-qGAN). The neural network structure is strictly within a quantum circuit and, as a consequence, is shown to represent a
Externí odkaz:
http://arxiv.org/abs/2304.10382
Autor:
Giorgio Leodori, Marco Mancuso, Davide Maccarrone, Matteo Tartaglia, Antonio Ianniello, Francesco Certo, Gina Ferrazzano, Leonardo Malimpensa, Daniele Belvisi, Carlo Pozzilli, Alfredo Berardelli, Antonella Conte
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Motor fatigue in Multiple Sclerosis (MS) is due to reduced motor cortex (M1) output and altered sensorimotor network (SMN) modulation. Natalizumab, a disease-modifying therapy, reduces neuroinflammation and improves fatigue. However, some pa
Externí odkaz:
https://doaj.org/article/6c0eebf121d8490ebeb62a1a97030d31
Autor:
Joana Certo Pereira, Rita Santos, Francisco Moscoso Costa, José Monge, Pedro de Araújo Gonçalves, Hélder Dores
Publikováno v:
Revista Portuguesa de Cardiologia, Vol 43, Iss 7, Pp 377-384 (2024)
Introduction and objectives: The association between exercise and coronary atherosclerosis still remains unclarified. We aimed to analyze the prevalence of high coronary atherosclerotic burden in veteran athletes, considering cardiovascular (CV) risk
Externí odkaz:
https://doaj.org/article/324d2ee404c143a48c4a8c4baa9837e8
Autor:
Sebastian Castillo-Hair, Stephen Fedak, Ban Wang, Johannes Linder, Kyle Havens, Michael Certo, Georg Seelig
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract mRNA therapeutics are revolutionizing the pharmaceutical industry, but methods to optimize the primary sequence for increased expression are still lacking. Here, we design 5’UTRs for efficient mRNA translation using deep learning. We perfo
Externí odkaz:
https://doaj.org/article/584216b48e674f71a733f6e57b2e7bc4
Autor:
Michael P. Coughlin, Senthilkumar Sankararaman, Erica A. Roesch, Emily D. Certo, Benjamin L. Brej, Michael W. Konstan
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
This case report presents a comprehensive evaluation of the complex balance of therapeutic benefits and potential risks associated with the cystic fibrosis transmembrane conductance regulator (CFTR) modulator elexacaftor/tezacaftor/ivacaftor (ETI) th
Externí odkaz:
https://doaj.org/article/49b022be8573491d80a74a803d746159
Feature selection is a technique in statistical prediction modeling that identifies features in a record with a strong statistical connection to the target variable. Excluding features with a weak statistical connection to the target variable in trai
Externí odkaz:
http://arxiv.org/abs/2211.09756
A new implementation of an adiabatically-trained ensemble model is derived that shows significant improvements over classical methods. In particular, empirical results of this new algorithm show that it offers not just higher performance, but also mo
Externí odkaz:
http://arxiv.org/abs/2210.07984