Results 1 to 10 of about 246,155 (191)
Improving Clinical Translation of Machine Learning Approaches Through Clinician-Tailored Visual Displays of Black Box Algorithms: Development and Validation [PDF]
JMIR Medical Informatics, 2020 BackgroundDespite the promise of machine learning (ML) to inform individualized medical care, the clinical utility of ML in medicine has been limited by the minimal interpretability and black box nature of these algorithms. ObjectiveThe study
Wongvibulsin, Shannon +2 more
doaj +3 more sources
Black box algorithms in mental health apps: An ethical reflection
Bioethics, 2023 Mental health apps bring unprecedented benefits and risks, raising questions of whether the kind of algorithms they deploy and the functions they perform are relevant to assess them as tools for mental health.
Nikola Biller-Andorno +1 more
exaly +4 more sources
Big data and black-box medical algorithms [PDF]
Science Translational Medicine, 2018 New machine-learning techniques entering medicine present challenges in validation, regulation, and integration into practice. New machine-learning techniques entering medicine present challenges in validation, regulation, and integration into practice.
Nicholson Price
exaly +4 more sources
From black-box complexity to designing new genetic algorithms
Theoretical Computer Science, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carola Doerr, Benjamin Doerr
exaly +6 more sources
Design publicity of black box algorithms: a support to the epistemic and ethical justifications of medical AI systems [PDF]
J Med Ethics, 2021 In their article ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI’, Durán and Jongsma discuss the epistemic and ethical challenges raised by black box algorithms in medical practice.
Andrea Ferrario
semanticscholar +2 more sources
Matrix black box algorithms - a survey
Bulletin of the Polish Academy of Sciences Technical Sciences, 2023 . The implementations of matrix multiplication on contemporary, vector-oriented, and multicore-oriented computer hardware are very carefully designed and optimized with respect to their efficiency, due to the essential significance of that operation in ...
Jerzy S. Respondek
semanticscholar +3 more sources
When black box algorithms are (not) appropriate [PDF]
Observational Studies, 2020 :In the 1980s a new, extraordinarily productive way of reasoning about algorithms emerged. In this paper, we introduce the term “outcome reasoning” to refer to this form of reasoning.
J. Rodu, M. Baiocchi
semanticscholar +2 more sources
Opening the Black Box inside Grover’s Algorithm [PDF]
Physical Review X, 2023 Grover’s algorithm is one of the primary algorithms offered as evidence that quantum computers can provide an advantage over classical computers. It involves an “oracle” (external quantum subroutine), which must be specified for a given application and ...
E. Stoudenmire, X. Waintal
semanticscholar +5 more sources
Faster black-box algorithms through higher arity operators [PDF]
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms, 2010 We extend the work of Lehre and Witt (GECCO 2010) on the unbiased black-box model by considering higher arity variation operators. In particular, we show that already for binary operators the black-box complexity of LeadingOnes drops from Θ(n2) for unary
Benjamin Doerr +5 more
semanticscholar +5 more sources
Users’ trust in black-box machine learning algorithms [PDF]
REGE Revista de GestãoPurpose – This paper aims to investigate whether professional data analysts’ trust of black-box systems is increased by explainability artifacts. Design/methodology/approach – The study was developed in two phases.
Heitor Hoffman Nakashima +2 more
doaj +3 more sources