Zobrazeno 1 - 10
of 15 022
pro vyhledávání: '"Bajwa, A."'
Autor:
Ness, Robert Osazuwa, Matton, Katie, Helm, Hayden, Zhang, Sheng, Bajwa, Junaid, Priebe, Carey E., Horvitz, Eric
Large language models (LLM) have achieved impressive performance on medical question-answering benchmarks. However, high benchmark accuracy does not imply that the performance generalizes to real-world clinical settings. Medical question-answering be
Externí odkaz:
http://arxiv.org/abs/2406.06573
Publikováno v:
Mobile Information Systems Mobile Information Systems, Volume 2022, Article ID 1609757, 20 pages
In the field of human-computer interaction (HCI), the usability assessment of m-learning (mobile-learning) applications is a real challenge. Such assessment typically involves extraction of the best features of an application like efficiency, effecti
Externí odkaz:
http://arxiv.org/abs/2404.16043
Autor:
Yildirim, Nur, Richardson, Hannah, Wetscherek, Maria T., Bajwa, Junaid, Jacob, Joseph, Pinnock, Mark A., Harris, Stephen, de Castro, Daniel Coelho, Bannur, Shruthi, Hyland, Stephanie L., Ghosh, Pratik, Ranjit, Mercy, Bouzid, Kenza, Schwaighofer, Anton, Pérez-García, Fernando, Sharma, Harshita, Oktay, Ozan, Lungren, Matthew, Alvarez-Valle, Javier, Nori, Aditya, Thieme, Anja
Recent advances in AI combine large language models (LLMs) with vision encoders that bring forward unprecedented technical capabilities to leverage for a wide range of healthcare applications. Focusing on the domain of radiology, vision-language mode
Externí odkaz:
http://arxiv.org/abs/2402.14252
Federated learning is a technique that allows multiple entities to collaboratively train models using their data without compromising data privacy. However, despite its advantages, federated learning can be susceptible to false data injection attacks
Externí odkaz:
http://arxiv.org/abs/2312.02102
Autor:
Unterkalmsteiner, Michael, Abrahamsson, Pekka, Wang, Xiaofeng, Nguyen-Duc, Anh, Shah, Syed M. Ali, Bajwa, Sohaib Shahid, Baltes, Guido H., Conboy, Kieran, Cullina, Eoin, Dennehy, Denis, Edison, Henry, Fernández-Sánchez, Carlos, Garbajosa, Juan, Gorschek, Tony, Klotins, Eriks, Hokkanen, Laura, Kon, Fabio, Lunesu, Ilaria, Marchesi, Michele, Morgan, Lorraine, Oivo, Markku, Selig, Christoph, Seppänen, Pertti, Sweetman, Roger, Tyrväinen, Pasi, Ungerer, Christina, Yagüe, Agustín
Publikováno v:
e-Informatica Softw. Eng. J. 10(1): 89-124 (2016)
Software startup companies develop innovative, software-intensive products within limited time frames and with few resources, searching for sustainable and scalable business models. Software startups are quite distinct from traditional mature softwar
Externí odkaz:
http://arxiv.org/abs/2308.12816
Publikováno v:
Transactions on Machine Learning Research, Aug. 2023 (https://openreview.net/forum?id=qUxBs3Ln41)
Recent works have shown that imposing tensor structures on the coefficient tensor in regression problems can lead to more reliable parameter estimation and lower sample complexity compared to vector-based methods. This work investigates a new low-ran
Externí odkaz:
http://arxiv.org/abs/2308.02922
This paper considers the problem of understanding the behavior of a general class of accelerated gradient methods on smooth nonconvex functions. Motivated by some recent works that have proposed effective algorithms, based on Polyak's heavy ball meth
Externí odkaz:
http://arxiv.org/abs/2307.07030
Autor:
Nuala A. O’Leary, Eric Cox, J. Bradley Holmes, W. Ray Anderson, Robert Falk, Vichet Hem, Mirian T. N. Tsuchiya, Gregory D. Schuler, Xuan Zhang, John Torcivia, Anne Ketter, Laurie Breen, Jonathan Cothran, Hena Bajwa, Jovany Tinne, Peter A. Meric, Wratko Hlavina, Valerie A. Schneider
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract To explore complex biological questions, it is often necessary to access various data types from public data repositories. As the volume and complexity of biological sequence data grow, public repositories face significant challenges in ensu
Externí odkaz:
https://doaj.org/article/371a36ead8774861b01e3c5ee9f76e23
Autor:
Lüchinger R, Audétat MC, Bajwa NM, Bréchet-Bachmann AC, Richard-Lepouriel H, Dominicé Dao M, Junod Perron N
Publikováno v:
Journal of Healthcare Leadership, Vol Volume 16, Pp 263-276 (2024)
Robin Lüchinger,1 Marie-Claude Audétat,1,2 Nadia M Bajwa,1,3 Anne-Claire Bréchet-Bachmann,4 Hélène Richard-Lepouriel,5 Melissa Dominicé Dao,4 Noëlle Junod Perron1,6 1Unit of Research and Development in Medical Education, Faculty of Medicine, U
Externí odkaz:
https://doaj.org/article/257c1c7b25db4c82b70acf21f64a820a
Autor:
Dilpreet S. Bajwa, Saptaparni Chanda, Cecily Ryan, Sreekala G. Bajwa, Nicole Stark, Kirsten Matteson
Publikováno v:
Carbohydrate Polymer Technologies and Applications, Vol 7, Iss , Pp 100450- (2024)
Cellulose nanocrystals (CNC) are desirable material due to universal accessibility, and superior mechanical properties. A major challenge is non-uniform dispersion of CNC in the hydrophobic matrices due to their tendency to agglomerate. A novel techn
Externí odkaz:
https://doaj.org/article/cbf9e914361642e7a99ae92fbc9631d1