Zobrazeno 1 - 10
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pro vyhledávání: '"Kitchell BE"'
Autor:
Hayashi, Soichi, Caron, Bradley A., Heinsfeld, Anibal Sólon, Vinci-Booher, Sophia, McPherson, Brent, Bullock, Daniel N., Bertò, Giulia, Niso, Guiomar, Hanekamp, Sandra, Levitas, Daniel, Ray, Kimberly, MacKenzie, Anne, Kitchell, Lindsey, Leong, Josiah K., Nascimento-Silva, Filipi, Koudoro, Serge, Willis, Hanna, Jolly, Jasleen K., Pisner, Derek, Zuidema, Taylor R., Kurzawski, Jan W., Mikellidou, Kyriaki, Bussalb, Aurore, Rorden, Christopher, Victory, Conner, Bhatia, Dheeraj, Aydogan, Dogu Baran, Yeh, Fang-Cheng F., Delogu, Franco, Guaje, Javier, Veraart, Jelle, Bollman, Steffen, Stewart, Ashley, Fischer, Jeremy, Faskowitz, Joshua, Chaumon, Maximilien, Fabrega, Ricardo, Hunt, David, McKee, Shawn, Brown, Shawn T., Heyman, Stephanie, Iacovella, Vittorio, Mejia, Amanda F., Marinazzo, Daniele, Craddock, R. Cameron, Olivetti, Emanuele, Hanson, Jamie L., Avesani, Paolo, Garyfallidis, Eleftherios, Stanzione, Dan, Carson, James, Henschel, Robert, Hancock, David Y., Stewart, Craig A., Schnyer, David, Eke, Damian O., Poldrack, Russell A., George, Nathalie, Bridge, Holly, Sani, Ilaria, Freiwald, Winrich A., Puce, Aina, Port, Nicholas L., Pestilli, Franco
Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR
Externí odkaz:
http://arxiv.org/abs/2306.02183
Autor:
Johnson, Erik C., Robinson, Brian S., Vallabha, Gautam K., Joyce, Justin, Matelsky, Jordan K., Norman-Tenazas, Raphael, Western, Isaac, Villafañe-Delgado, Marisel, Cervantes, Martha, Robinette, Michael S., Reddy, Arun V., Kitchell, Lindsey, Rivlin, Patricia K., Reilly, Elizabeth P., Drenkow, Nathan, Roos, Matthew J., Wang, I-Jeng, Wester, Brock A., Gray-Roncal, William R., Hoffmann, Joan A.
Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a critical need for defense and commercial applications. We envision a pipeline to utilize large ne
Externí odkaz:
http://arxiv.org/abs/2305.17300
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-5 (2023)
Abstract We present a rare case of pathology-proven CMV pneumonitis in a patient with HIV infection after presenting with cough and fever. This presentation was complicated by recurrence of symptoms after treatment in the setting of continued uncontr
Externí odkaz:
https://doaj.org/article/de9f58cbce0d4e2cb446791aaa0d290f
Autor:
Azabou, Mehdi, Azar, Mohammad Gheshlaghi, Liu, Ran, Lin, Chi-Heng, Johnson, Erik C., Bhaskaran-Nair, Kiran, Dabagia, Max, Avila-Pires, Bernardo, Kitchell, Lindsey, Hengen, Keith B., Gray-Roncal, William, Valko, Michal, Dyer, Eva L.
State-of-the-art methods for self-supervised learning (SSL) build representations by maximizing the similarity between different transformed "views" of a sample. Without sufficient diversity in the transformations used to create views, however, it ca
Externí odkaz:
http://arxiv.org/abs/2102.10106
Autor:
Amiri, Shideh Shams, Weber, Rosina O., Goel, Prateek, Brooks, Owen, Gandley, Archer, Kitchell, Brian, Zehm, Aaron
Explainable artificial intelligence (XAI) methods are currently evaluated with approaches mostly originated in interpretable machine learning (IML) research that focus on understanding models such as comparison against existing attribution approaches
Externí odkaz:
http://arxiv.org/abs/2011.09892
Akademický článek
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Akademický článek
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Autor:
Frederick, Abbye W.1 (AUTHOR) abbye.frederick@utsouthwestern.edu, Kitchell, Ellen1 (AUTHOR), McCormick-Baw, Clare1 (AUTHOR), Kukkar, Vishal1 (AUTHOR), Jain, Mamta K.1 (AUTHOR)
Publikováno v:
BMC Infectious Diseases. 11/29/2023, Vol. 23 Issue 1, p1-5. 5p.
Autor:
Majeed, Harris, Zhu, Hong, Williams, Sarah A., Hamann, Heidi A., Natchimuthu, Vijaya Subbu, Lee, Jessica, Santini, Noel O., Browning, Travis, Prasad, Tanushree, Adesina, Joyce O., Do, Minh, Balis, David, de Willams, Juana Gamarra, Kitchell, Ellen, Johnson, David H., Lee, Simon J. Craddock, Gerber, David E.
Publikováno v:
In Clinical Lung Cancer July 2022 23(5):419-427
Akademický článek
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