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pro vyhledávání: '"Or Messer"'
Providing consistent summative assessment to students is important, as the grades they are awarded affect their progression through university and future career prospects. While small cohorts are typically assessed by a single assessor, such as the c
Externí odkaz:
http://arxiv.org/abs/2409.12967
Autor:
Messer, Paul, Schmid, Timo
This paper introduces Mixed Effect Gradient Boosting (MEGB), which combines the strengths of Gradient Boosting with Mixed Effects models to address complex, hierarchical data structures often encountered in statistical analysis. The methodological fo
Externí odkaz:
http://arxiv.org/abs/2406.04256
Autor:
Bauman, Paul T., Budiardja, Reuben D., Bykov, Dmytro, Chalmers, Noel, Chen, Jacqueline, Curtis, Nicholas, Day, Marc, Eisenbach, Markus, Esclapez, Lucas, Fanfarillo, Alessandro, Freitag, William, Frontiere, Nicholas, Georgiadou, Antigoni, Glenski, Joseph, Gottiparthi, Kalyana, de Frahan, Marc T. Henry, Jansen, Gustav R., Joubert, Wayne, Lietz, Justin G., Kurzak, Jakub, Malaya, Nicholas, Messer, Bronson, McDougall, Damon, Mullowney, Paul, Nichols, Stephen, Norman, Matthew, Papatheodore, Thomas, Rood, Jon, Roth, Philip C., Sreepathi, Sarat, White III, James, Wolfe, Noah
The advent of exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers. This work details observations from the last four years in preparing scientific applications
Externí odkaz:
http://arxiv.org/abs/2310.01586
We conducted a systematic literature review on automated grading and feedback tools for programming education. We analysed 121 research papers from 2017 to 2021 inclusive and categorised them based on skills assessed, approach, language paradigm, deg
Externí odkaz:
http://arxiv.org/abs/2306.11722
Autor:
Saab, Khaled, Tang, Siyi, Taha, Mohamed, Lee-Messer, Christopher, Ré, Christopher, Rubin, Daniel
A major barrier to deploying healthcare AI models is their trustworthiness. One form of trustworthiness is a model's robustness across different subgroups: while existing models may exhibit expert-level performance on aggregate metrics, they often re
Externí odkaz:
http://arxiv.org/abs/2306.08728
Autor:
Qiu, Yuqi, Messer, Karen
We develop a novel doubly-robust (DR) imputation framework for longitudinal studies with monotone dropout, motivated by the informative dropout that is common in FDA-regulated trials for Alzheimer's disease. In this approach, the missing data are fir
Externí odkaz:
http://arxiv.org/abs/2305.02849
Publikováno v:
JAAD Case Reports, Vol 50, Iss , Pp 69-71 (2024)
Externí odkaz:
https://doaj.org/article/58ec809dfd794fcbb97ab1c53fda87a5
Publikováno v:
Waste Management Bulletin, Vol 2, Iss 4, Pp 1-10 (2024)
Understanding the treatment of leachate mediated by the development of anaerobic sludge makes it possible to create an effective design process of biodegradation technology. This study used an up-flow anaerobic sludge blanket (UASB) reactor equipped
Externí odkaz:
https://doaj.org/article/076b5cd0dcf447fa9b8af025cf7d15cf
Publikováno v:
JAAD Case Reports, Vol 53, Iss , Pp 13-16 (2024)
Externí odkaz:
https://doaj.org/article/0f9deda66c1c48d0a40deecd6b10df3b
Autor:
Anas Sayed Suliman Atassi, MD, George K. Vilanilam, MBBS, Rangarajan Purushothaman, MD, Razvan Zemianschi, MD, Ishan Pandey, BBA, Kurt J. Messer, MD, Surjith Vattoth, MD, FRCR
Publikováno v:
Radiology Case Reports, Vol 19, Iss 7, Pp 2719-2723 (2024)
Vertebral osteomyelitis is a well-documented disease entity in literature with various known etiologies. However, vertebral diskitis-osteomyelitis secondary to an infected aortic aneurysm is an uncommon and life-threatening complication. We present t
Externí odkaz:
https://doaj.org/article/183194f3bff94b51b219216d374fa69c