Results 241 to 250 of about 448,167 (282)

DUSTrack: Semi-automated point tracking in ultrasound videos. [PDF]

Sci Rep
Namburi P, Pallarès-López R, Rosendorf J, Folgado D, Anthony BW.   +4 more
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Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data. [PDF]

Sci Rep
Kumar PR, Ibidoja OJ, Ali MKM, Ishak WRW.   +3 more
europepmc   +1 more source

Rising Role of Artificial Intelligence in Clinical Pharmacometrics and Model-Informed Precision Dosing in Pediatrics. [PDF]

J Pediatr Pharmacol Ther
Mizuno T, Neely MN.
europepmc   +1 more source

In Defense of Post Hoc Explanations in Medical AI. [PDF]

Hastings Cent Rep
Hatherley J, Aastrup Munch L, Christian Bjerring J.   +2 more
europepmc   +1 more source

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Effective Black-Box Testing with Genetic Algorithms

Lecture Notes in Computer Science, 2006
Black-box (functional) test cases are identified from functional requirements of the tested system, which is viewed as a mathematical function mapping its inputs onto its outputs. While the number of possible black-box tests for any non-trivial program is extremely large, the testers can run only a limited number of test cases under their resource ...
Mark Last
exaly   +2 more sources

Too fast unbiased black-box algorithms

Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011
Unbiased black-box complexity was recently introduced as a refined complexity model for randomized search heuristics (Lehre and Witt, GECCO 2010). For several problems, this notion avoids the unrealistically low complexity results given by the classical model of Droste, Jansen, and Wegener (Theor. Comput. Sci. 2006).
Benjamin Doerr, Timo Kötzing, Carola Winzen   +2 more
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The Black Box Multigrid Numerical Homogenization Algorithm

Journal of Computational Physics, 1998
We propose a numerical approach for the homogenization of the permeability in models of single-phase saturated flow. Our approach is motivated by the observation that multiple length scales are captured automatically by robust multilevel iterative solvers, such as black box multigrid.
Moulton, J. David, Dendy, Joel E. jun., Hyman, James M.   +2 more
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Benchmarking of Continuous Black Box Optimization Algorithms

Evolutionary Computation, 2012
Benchmarking of optimization algorithms is necessary to quantitatively assess the performance of optimizers and to understand their strengths and weaknesses. The Black Box Optimization Benchmarking (BBOB) workshops that took place in 2009, 2010, and 2012 during the Genetic and Evolutionary Computation Conference (GECCO) were set up to benchmark both ...
Anne Auger, Nikolaus Hansen, Marc Schoenauer   +2 more
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The ethnographer and the algorithm: beyond the black box

Theory and Society, 2020
A common theme in social science studies of algorithms is that they are profoundly opaque and function as “black boxes.” Scholars have developed several methodological approaches in order to address algorithmic opacity. Here I argue that we can explicitly enroll algorithms in ethnographic research, which can shed light on unexpected aspects of ...
openaire   +1 more source