Zobrazeno 1 - 10
of 1 122
pro vyhledávání: '"García,Gabriel"'
Autor:
Paiola, Pedro Henrique, Garcia, Gabriel Lino, Manesco, João Renato Ribeiro, Roder, Mateus, Rodrigues, Douglas, Papa, João Paulo
This study evaluates the performance of large language models (LLMs) as medical agents in Portuguese, aiming to develop a reliable and relevant virtual assistant for healthcare professionals. The HealthCareMagic-100k-en and MedQuAD datasets, translat
Externí odkaz:
http://arxiv.org/abs/2410.00163
Autor:
Achamyeleh, Yonatan Gizachew, Fakih, Mohamad Habib, Garcia, Gabriel, Barua, Anomadarshi, Faruque, Mohammad Al
Differential Pressure Sensors are widely deployed to monitor critical environments. However, our research unveils a previously overlooked vulnerability: their high sensitivity to pressure variations makes them susceptible to acoustic side-channel att
Externí odkaz:
http://arxiv.org/abs/2409.18213
Autor:
Putterman, Harald, Noh, Kyungjoo, Hann, Connor T., MacCabe, Gregory S., Aghaeimeibodi, Shahriar, Patel, Rishi N., Lee, Menyoung, Jones, William M., Moradinejad, Hesam, Rodriguez, Roberto, Mahuli, Neha, Rose, Jefferson, Owens, John Clai, Levine, Harry, Rosenfeld, Emma, Reinhold, Philip, Moncelsi, Lorenzo, Alcid, Joshua Ari, Alidoust, Nasser, Arrangoiz-Arriola, Patricio, Barnett, James, Bienias, Przemyslaw, Carson, Hugh A., Chen, Cliff, Chen, Li, Chinkezian, Harutiun, Chisholm, Eric M., Chou, Ming-Han, Clerk, Aashish, Clifford, Andrew, Cosmic, R., Curiel, Ana Valdes, Davis, Erik, DeLorenzo, Laura, D'Ewart, J. Mitchell, Diky, Art, D'Souza, Nathan, Dumitrescu, Philipp T., Eisenmann, Shmuel, Elkhouly, Essam, Evenbly, Glen, Fang, Michael T., Fang, Yawen, Fling, Matthew J., Fon, Warren, Garcia, Gabriel, Gorshkov, Alexey V., Grant, Julia A., Gray, Mason J., Grimberg, Sebastian, Grimsmo, Arne L., Haim, Arbel, Hand, Justin, He, Yuan, Hernandez, Mike, Hover, David, Hung, Jimmy S. C., Hunt, Matthew, Iverson, Joe, Jarrige, Ignace, Jaskula, Jean-Christophe, Jiang, Liang, Kalaee, Mahmoud, Karabalin, Rassul, Karalekas, Peter J., Keller, Andrew J., Khalajhedayati, Amirhossein, Kubica, Aleksander, Lee, Hanho, Leroux, Catherine, Lieu, Simon, Ly, Victor, Madrigal, Keven Villegas, Marcaud, Guillaume, McCabe, Gavin, Miles, Cody, Milsted, Ashley, Minguzzi, Joaquin, Mishra, Anurag, Mukherjee, Biswaroop, Naghiloo, Mahdi, Oblepias, Eric, Ortuno, Gerson, Pagdilao, Jason, Pancotti, Nicola, Panduro, Ashley, Paquette, JP, Park, Minje, Peairs, Gregory A., Perello, David, Peterson, Eric C., Ponte, Sophia, Preskill, John, Qiao, Johnson, Refael, Gil, Resnick, Rachel, Retzker, Alex, Reyna, Omar A., Runyan, Marc, Ryan, Colm A., Sahmoud, Abdulrahman, Sanchez, Ernesto, Sanil, Rohan, Sankar, Krishanu, Sato, Yuki, Scaffidi, Thomas, Siavoshi, Salome, Sivarajah, Prasahnt, Skogland, Trenton, Su, Chun-Ju, Swenson, Loren J., Teo, Stephanie M., Tomada, Astrid, Torlai, Giacomo, Wollack, E. Alex, Ye, Yufeng, Zerrudo, Jessica A., Zhang, Kailing, Brandão, Fernando G. S. L., Matheny, Matthew H., Painter, Oskar
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many noisy physical qubits. The large physical-qubit overhead typically as
Externí odkaz:
http://arxiv.org/abs/2409.13025
Autor:
Chovet, Loïck Pierre, Garcia, Gabriel Manuel, Bera, Abhishek, Richard, Antoine, Yoshida, Kazuya, Olivares-Mendez, Miguel Angel
Recent advancements in Multi-Robot Systems (MRS) and mesh network technologies pave the way for innovative approaches to explore extreme environments. The Artemis Accords, a series of international agreements, have further catalyzed this progress by
Externí odkaz:
http://arxiv.org/abs/2407.03091
Autor:
Garcia, Gabriel Lino, Paiola, Pedro Henrique, Morelli, Luis Henrique, Candido, Giovani, Júnior, Arnaldo Cândido, Jodas, Danilo Samuel, Afonso, Luis C. S., Guilherme, Ivan Rizzo, Penteado, Bruno Elias, Papa, João Paulo
Large Language Models (LLMs) are increasingly bringing advances to Natural Language Processing. However, low-resource languages, those lacking extensive prominence in datasets for various NLP tasks, or where existing datasets are not as substantial,
Externí odkaz:
http://arxiv.org/abs/2401.02909
Autor:
Levine, Harry, Haim, Arbel, Hung, Jimmy S. C., Alidoust, Nasser, Kalaee, Mahmoud, DeLorenzo, Laura, Wollack, E. Alex, Arrangoiz-Arriola, Patricio, Khalajhedayati, Amirhossein, Sanil, Rohan, Moradinejad, Hesam, Vaknin, Yotam, Kubica, Aleksander, Hover, David, Aghaeimeibodi, Shahriar, Alcid, Joshua Ari, Baek, Christopher, Barnett, James, Bawdekar, Kaustubh, Bienias, Przemyslaw, Carson, Hugh, Chen, Cliff, Chen, Li, Chinkezian, Harut, Chisholm, Eric M., Clifford, Andrew, Cosmic, R., Crisosto, Nicole, Dalzell, Alexander M., Davis, Erik, D'Ewart, J. Mitch, Diez, Sandra, D'Souza, Nathan, Dumitrescu, Philipp T., Elkhouly, Essam, Fang, Michael, Fang, Yawen, Flammia, Steven T., Fling, Matthew J., Garcia, Gabriel, Gharzai, M. Kabeer, Gorshkov, Alexey V., Gray, Mason J., Grimberg, Sebastian, Grimsmo, Arne L., Hann, Connor T., He, Yuan, Heidel, Steven, Howell, Sean, Hunt, Matthew, Iverson, Joseph K., Jarrige, Ignace, Jiang, Liang, Jones, William M., Karabalin, Rassul, Karalekas, Peter J., Keller, Andrew J., Lasi, Davide, Lee, Menyoung, Ly, Victor, MacCabe, Gregory S., Mahuli, Neha, Marcaud, Guillaume, Matheny, Matthew H., McArdle, Sam, McCabe, Gavin, Merton, Gabe, Miles, Cody, Milsted, Ashley, Mishra, Anurag, Moncelsi, Lorenzo, Naghiloo, Mahdi, Noh, Kyungjoo, Oblepias, Eric, Ortuno, Gerson, Owens, John Clai, Pagdilao, Jason, Panduro, Ashley, Paquette, J. -P., Patel, Rishi N., Peairs, Gregory A., Perello, David J., Peterson, Eric C., Ponte, Sophia, Putterman, Harald, Refael, Gil, Reinhold, Philip, Resnick, Rachel, Reyna, Omar A., Rodriguez, Roberto, Rose, Jefferson, Rubin, Alex H., Runyan, Marc, Ryan, Colm A., Sahmoud, Abdulrahman, Scaffidi, Thomas, Shah, Bhavik, Siavoshi, Salome, Sivarajah, Prasahnt, Skogland, Trenton, Su, Chun-Ju, Swenson, Loren J., Sylvia, Jared, Teo, Stephanie M., Tomada, Astrid, Torlai, Giacomo, Wistrom, Mark, Zhang, Kailing, Zuk, Ido, Clerk, Aashish A., Brandão, Fernando G. S. L., Retzker, Alex, Painter, Oskar
Publikováno v:
Physical Review X 14, 011051 (2024)
Quantum error correction with erasure qubits promises significant advantages over standard error correction due to favorable thresholds for erasure errors. To realize this advantage in practice requires a qubit for which nearly all errors are such er
Externí odkaz:
http://arxiv.org/abs/2307.08737
Autor:
Rodríguez García, Gabriel Alejandro1 gabriel.arg@outlook.es
Publikováno v:
Antípoda. oct-dic2024, Issue 57, p71-96. 26p.
Autor:
Benítez-Chao, Diego Francisco, García-Hernández, Marisela, Cuellar, José M., García, Gabriel, Islas, Jose Francisco, Garza-Treviño, Elsa N., Padilla-Rivas, Gerardo R.
Publikováno v:
In IJID Regions September 2024 12
Autor:
Pizà-Mir, Bartolomé (Coordinador), Baena Morales, Salvador (Coordinador), Benito Colio, Berta (Coordinador), Delgado García, Gabriel (Coordinador), García Taibo, Olalla (Coordinador), Torrente Martínez, María Jesús (Coordinador), Vázquez Allegue, Jaime (Coordinador)
En el intrincado tapiz de la educación, este libro se presenta como una encrucijada donde se entrelazan tres travesías cruciales. A través de sus secciones meticulosamente elaboradas, nos sumergiremos en una exploración multifacética que abarca
In this paper, we present a self-training-based framework for glaucoma grading using OCT B-scans under the presence of domain shift. Particularly, the proposed two-step learning methodology resorts to pseudo-labels generated during the first step to
Externí odkaz:
http://arxiv.org/abs/2111.11771