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Artificial Intelligence in Medicine: Barriers, Solutions, and Strategies. [PDF]

HCA Healthc J Med
Harrison A, Moreno MS, Williams CE, Subasi MM, Subasi E.   +4 more
europepmc   +1 more source

White-Box or Black-Box Decision Tree Algorithms: Which to Use in Education?

IEEE Transactions on Education, 2013
University students are usually taught data mining through black-box data mining algorithms, which hide the algorithm's details from the user and optionally allow parameter adjustment. This minimizes the effort required to use these algorithms.
Miloš Jovanović, Milan Vukicevic, Boris Delibašić   +2 more
exaly   +2 more sources

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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
openaire   +3 more sources

From black box to glass box: algorithmic explainability as a strategic decision

Information Economics and Policy, 2023
The best-performing algorithms are often the least explainable. In parallel, there is growing concern and evidence that algorithms may autonomously engage in misconduct. Inspired by recent regulatory proposals, we propose a simple model of firm compliance and explainability decisions under the threat of (costly and imperfect) regulatory audits.
Xavier Lambin, Adrien Raizonville
openaire   +1 more source

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, Franziska Ebel   +2 more
exaly   +6 more sources

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
openaire   +2 more sources