Zobrazeno 1 - 10
of 728
pro vyhledávání: '"Garcia, Sofia"'
Autor:
Luz, Saturnino, Garcia, Sofia De La Fuente, Haider, Fasih, Fromm, Davida, MacWhinney, Brian, Lanzi, Alyssa, Chang, Ya-Ning, Chou, Chia-Ju, Liu, Yi-Chien
We present a novel benchmark dataset and prediction tasks for investigating approaches to assess cognitive function through analysis of connected speech. The dataset consists of speech samples and clinical information for speakers of Mandarin Chinese
Externí odkaz:
http://arxiv.org/abs/2406.10272
Speech-based depression detection tools could help early screening of depression. Here, we address two issues that may hinder the clinical practicality of such tools: segment-level labelling noise and a lack of model interpretability. We propose a sp
Externí odkaz:
http://arxiv.org/abs/2406.03138
Parallel tensor network contraction algorithms have emerged as the pivotal benchmarks for assessing the classical limits of computation, exemplified by Google's demonstration of quantum supremacy through random circuit sampling. However, the massive
Externí odkaz:
http://arxiv.org/abs/2405.13946
Autor:
Lattie, Emily G, Bass, Michael, Garcia, Sofia F, Phillips, Siobhan M, Moreno, Patricia I, Flores, Ann Marie, Smith, JD, Scholtens, Denise, Barnard, Cynthia, Penedo, Frank J, Cella, David, Yanez, Betina
Publikováno v:
JMIR Formative Research, Vol 4, Iss 9, p e18412 (2020)
BackgroundUnmanaged cancer symptoms and treatment-related side effects can compromise long-term clinical outcomes and health-related quality of life. Health information technologies such as web-based platforms offer the possibility to supplement exis
Externí odkaz:
https://doaj.org/article/beb296c527074fdeb77219b13269965c
Depression is a common mental disorder. Automatic depression detection tools using speech, enabled by machine learning, help early screening of depression. This paper addresses two limitations that may hinder the clinical implementations of such tool
Externí odkaz:
http://arxiv.org/abs/2309.13476
Autor:
Gonzalez-Garcia, Sofia, Sang, Shengqi, Hsieh, Timothy H., Boixo, Sergio, Vidal, Guifre, Potter, Andrew C., Vasseur, Romain
Publikováno v:
Phys. Rev. B 109, 235102 (2024)
Projected entangled pair states (PEPS) offer memory-efficient representations of some quantum many-body states that obey an entanglement area law, and are the basis for classical simulations of ground states in two-dimensional (2d) condensed matter s
Externí odkaz:
http://arxiv.org/abs/2307.11053
Autor:
Bajwa, Ramanpreet, Singh, Lovepreet, Molina Garcia, Sofia, Imperio-Lagabon, Kristelle, Sims, Omar T., Modaresi Esfeh, Jamak
Publikováno v:
In Digestive and Liver Disease November 2024 56(11):1874-1879
Autor:
Díaz-Gavela, Ana Aurora, Cerro Peñalver, Elia del, Sanchez-Garcia, Sofía, Pardo-Perez, Eduardo, Thuissard-Vasallo, Israel John, Andreu-Vázquez, Cristina, Molina López, María Yolanda, Pena Huertas, Marina, Guerrero-Gómez, Luis Leonardo, Sanz-Rosa, David, Lorenzo, Felipe Counago
Publikováno v:
In Brachytherapy May-June 2024 23(3):342-354
Autor:
Rodríguez, Yasmina, Rodríguez, Airam, van Loon, Willem M.G.M., Pereira, João M., Frias, João, Duncan, Emily M., Garcia, Sofia, Herrera, Laura, Marqués, Cristina, Neves, Verónica, Domínguez-Hernández, Cristopher, Hernández-Borges, Javier, Rodríguez, Beneharo, Pham, Christopher K.
Publikováno v:
In Environment International April 2024 186