Zobrazeno 1 - 10
of 1 815
pro vyhledávání: '"A. Schlauch"'
Autor:
C. Balcescu, K. Odeh, A. Rosinski, B. Nudelman, A. Schlauch, I. Shah, V. Ungurean Jr., P. Prasad, J. Leasure, F. Stepansky, A. Piple, D. Kondrashov
Publikováno v:
Journal of Bone and Joint Infection, Vol 8, Pp 1-9 (2023)
Study design: retrospective case series. Objective: the presenting clinical symptoms of spinal infections are often nonspecific and a delay in diagnosis can lead to adverse patient outcomes. The morbidity and mortality of patients with multifocal spi
Externí odkaz:
https://doaj.org/article/07443e8ad4874e1ea4e1e5aa7dfb67ff
Prior parameter distributions provide an elegant way to represent prior expert and world knowledge for informed learning. Previous work has shown that using such informative priors to regularize probabilistic deep learning (DL) models increases their
Externí odkaz:
http://arxiv.org/abs/2403.11966
Autor:
Roth, Christian, Pitt, Breanne, Šķestere, Lāsma, Barbara, Jonathan, Bakk, Agnes Karolina, Dunlop, Kirsty, Grandio, Maria del Mar, Barreda, Miguel, Sampatakou, Despoina, Schlauch, Michael
While a strength of Interactive Digital Narratives (IDN) is its support for multiperspectivity, this also poses a substantial challenge to its evaluation. Moreover, evaluation has to assess the system's ability to represent a complex reality as well
Externí odkaz:
http://arxiv.org/abs/2306.09817
Autor:
Jeffrey P. Steinhoff, MD, Sahiti Kolli, MS, Meredith P. Mattlin, MA, Daniel Schlauch, PhD, Andrew T. Braisted, MHSA, Sreenath V. Reddy, MD, Charles Klodell, MD, Todd Dewey, MD, Gregory P. Fontana, MD
Publikováno v:
Annals of Thoracic Surgery Short Reports, Vol 2, Iss 3, Pp 347-350 (2024)
Background: Current treatment guidelines for infective endocarditis focus on left-sided infective endocarditis. Because right-sided infective endocarditis has different presentations and outcomes, it is crucial to further delineate surgical outcomes
Externí odkaz:
https://doaj.org/article/36a36d06d81148aa92061a6b6c988949
Integrating measurements and historical data can enhance control systems through learning-based techniques, but ensuring performance and safety is challenging. Robust model predictive control strategies, like stochastic model predictive control, can
Externí odkaz:
http://arxiv.org/abs/2303.14519
Autor:
Robert W. Read, Karen A. Schlauch, Gai Elhanan, Iva Neveux, Stephanie Koning, Takeesha Cooper, Joseph J. Grzymski
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
As complex mental health traits and life histories are often poorly captured in hospital systems, the utility of using the Barratt Impulsivity Scale (BIS) and Adverse Childhood Experiences (ACEs) for assessing adult disease risks is unknown. Here, we
Externí odkaz:
https://doaj.org/article/a6d0a0e1b66744e79bf529dc6be15e35
Publikováno v:
ECML PKDD 2023, Turin, Italy, Proceedings, Part V
Informed machine learning methods allow the integration of prior knowledge into learning systems. This can increase accuracy and robustness or reduce data needs. However, existing methods often assume hard constraining knowledge, that does not requir
Externí odkaz:
http://arxiv.org/abs/2211.00348
Publikováno v:
In International Journal of Child-Computer Interaction March 2025 43
Model-based optimization approaches for monitoring and control, such as model predictive control and optimal state and parameter estimation, have been used for decades in many engineering applications. Models describing the dynamics, constraints, and
Externí odkaz:
http://arxiv.org/abs/2203.13671
To satisfy the principles of FAIR software, software sustainability and software citation, research software must be formally published. Publication repositories make this possible and provide published software versions with unique and persistent id
Externí odkaz:
http://arxiv.org/abs/2201.09015