Zobrazeno 1 - 10
of 8 736
pro vyhledávání: '"A. Garibay"'
Autor:
Yazdani-Jahromi, Mehdi, Yalabadi, Ali Khodabandeh, Rajabi, AmirArsalan, Tayebi, Aida, Garibay, Ivan, Garibay, Ozlem Ozmen
The persistent challenge of bias in machine learning models necessitates robust solutions to ensure parity and equal treatment across diverse groups, particularly in classification tasks. Current methods for mitigating bias often result in informatio
Externí odkaz:
http://arxiv.org/abs/2410.16432
Autor:
Lao, Guanming, Khvorost, Taras, Macias, Jr., Antonio, Morgan, Harry W. T., Lavroff, Robert H., Choi, Ryan, Zhou, Haowen, Usvyat, Denis, Zhu, Guo-Zhu, García-Garibay, Miguel A., Alexandrova, Anastassia N., Hudson, Eric R., Campbell, Wesley C.
Gas-phase molecules capable of repeatable, narrow-band spontaneous photon scattering are prized for direct laser cooling and quantum state detection. Recently, large molecules incorporating phenyl rings have been shown to exhibit similar vibrational
Externí odkaz:
http://arxiv.org/abs/2411.03199
Autor:
Kowsher, Md, Sobuj, Md. Shohanur Islam, Prottasha, Nusrat Jahan, Alanis, E. Alejandro, Garibay, Ozlem Ozmen, Yousefi, Niloofar
Time series forecasting remains a challenging task, particularly in the context of complex multiscale temporal patterns. This study presents LLM-Mixer, a framework that improves forecasting accuracy through the combination of multiscale time-series d
Externí odkaz:
http://arxiv.org/abs/2410.11674
Autor:
Prottasha, Nusrat Jahan, Mahmud, Asif, Sobuj, Md. Shohanur Islam, Bhat, Prakash, Kowsher, Md, Yousefi, Niloofar, Garibay, Ozlem Ozmen
Large Language Models (LLMs) are gaining significant popularity in recent years for specialized tasks using prompts due to their low computational cost. Standard methods like prefix tuning utilize special, modifiable tokens that lack semantic meaning
Externí odkaz:
http://arxiv.org/abs/2410.08598
Autor:
Sterbentz, Randy, Kim, Bogyeom, Flores-Garibay, Anayeli, Haley, Kristine L., Pereira, Nicholas T., Watanabe, Kenji, Taniguchi, Takashi, Island, Joshua O.
Metals are commonly used as electrostatic gates in devices due to their abundant charge carrier densities that are necessary for efficient charging and discharging. A semiconducting gate can be beneficial for certain fabrication processes, in low lig
Externí odkaz:
http://arxiv.org/abs/2410.06432
Autor:
Abdidizaji, Sina, Baekey, Alexander, Jayalath, Chathura, Mantzaris, Alexander, Garibay, Ozlem Ozmen, Garibay, Ivan
The dissemination of news articles on social media platforms significantly impacts the public's perception of global issues, with the nature of these articles varying in credibility and popularity. The challenge of measuring this influence and identi
Externí odkaz:
http://arxiv.org/abs/2407.09657
Autor:
Abdidizaji, Sina, Yalabadi, Ali Khodabandeh, Yazdani-Jahromi, Mehdi, Garibay, Ozlem Ozmen, Garibay, Ivan
Health issues and pandemics remain paramount concerns in the contemporary era. Clostridioides Difficile Infection (CDI) stands out as a critical healthcare-associated infection with global implications. Effectively understanding the mechanisms of inf
Externí odkaz:
http://arxiv.org/abs/2401.11656
Autor:
Yalabadi, Ali Khodabandeh, Yazdani-Jahromi, Mehdi, Abdidizaji, Sina, Garibay, Ivan, Garibay, Ozlem Ozmen
The rapid and widespread dissemination of misinformation through social networks is a growing concern in today's digital age. This study focused on modeling fake news diffusion, discovering the spreading dynamics, and designing control strategies. A
Externí odkaz:
http://arxiv.org/abs/2401.11524
Autor:
Yalabadi, Ali Khodabandeh, Yazdani-Jahromi, Mehdi, Yousefi, Niloofar, Tayebi, Aida, Abdidizaji, Sina, Garibay, Ozlem Ozmen
Drug-Target Interaction (DTI) prediction is vital for drug discovery, yet challenges persist in achieving model interpretability and optimizing performance. We propose a novel transformer-based model, FragXsiteDTI, that aims to address these challeng
Externí odkaz:
http://arxiv.org/abs/2311.02326
Autor:
Isabel Omaña-Guzmán, Marisol Rosas-Diaz, Yoscelina Estrella Martínez-López, L. Monserrat Perez-Navarro, Alvaro Diaz-Badillo, Anthony Alanis, Alejandra Bustamante, Octelina Castillo-Ruiz, Noemi del Toro-Cisneros, Diego Armando Esquivel-Hernandez, Gloria Garcia-Villalobos, Nayely Garibay-Nieto, Esperanza Milagros Garcia-Oropesa, Juan Carlos Hernandez-Martinez, Elena Beatriz Lopez-Sosa, Carlos Maldonado, David Martinez, Joshua Membreno, Oscar Omar Moctezuma-Chavez, Claudia X. Munguia-Cisneros, Edna J. Nava-González, Adriana L. Perales-Torres, Adolfo Pérez-García, Hector Rivera-Marrero, Alisha Valdez, Alfonso Alejandro Vázquez-Chávez, Carlos Ramirez-Pfeiffer, Kathleen V. Carter, Beatriz Tapia, Leonel Vela, Juan Carlos Lopez-Alvarenga
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-27 (2024)
Abstract Background Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD), is a prevalent hepatic condition linked to metabolic alterations. It gradually causes liver damage an
Externí odkaz:
https://doaj.org/article/8f2e26f0098b4c84873c9840354f1ce4
