Results 51 to 60 of about 448,167 (282)
Boundary Black-box Adversarial Example Generation Algorithm on Video Recognition Models [PDF]
Jisuanji kexueWith the rapid development of deep learning,neural networks are widely used in various fields.However,neural networks still face the problem of adversarial attacks.Among all types of adversarial attacks,the boundary black-box attack can only obtain the ...
JING Yulin, WU Lijun, LI Zhiyuan, DENG Qi
doaj +1 more source
Tic & Société, 2021 The mediation of love and sexuality has often relied on dating advice. This paper analyses a corpus of dating guides concerning the popular app Tinder. Our analysis suggests that the practice of algorithmic blackboxing, that is, characterizing algorithms
David MYLES, Martin BLAIS
doaj +1 more source
What is a black box algorithm?
, 2023 Companies or institutions (Divinities) disintermediate their relations with users via decision-making algorithms (Pythias): users (mortals) are offered arbitrary decisions (oracles) during their interactions.How to apprehend these black box algorithms, from the point of view of a user or regulator?
Le Merrer, Erwan, Trédan, Gilles
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Unknowing Algorithms: On Transparency of Unopenable Black Boxes
, 2017 published
Paßmann, Johannes, Boersma, Asher
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Black-Box Algorithms for Sampling from Continuous Distributions
Proceedings of the 2006 Winter Simulation Conference, 2006 For generating non-uniform random variates, black-box algorithms are powerful tools that allow drawing samples from large classes of distri- butions. We give an overview of the design principles of such methods and show that they have advantages compared to specialized algorithms even for standard distributions, e.g., the marginal generation times are ...
Hörmann, Wolfgang, Leydold, Josef
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Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
Proceedings of the Genetic and Evolutionary Computation Conference, 2023 To appear in the Proceedings of GECCO ...
François Clément +5 more
openaire +4 more sources
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Privacy and Accountability in Black-Box Medicine [PDF]
, 2016 Black-box medicine—the use of big data and sophisticated machine learning techniques for health-care applications—could be the future of personalized medicine.
Ford, Roger Allan +1 more
core +3 more sources
Restarted Local Search Algorithms for Continuous Black Box Optimization [PDF]
Evolutionary Computation, 2012 Several local search algorithms for real-valued domains (axis parallel line search, Nelder-Mead simplex search, Rosenbrock's algorithm, quasi-Newton method, NEWUOA, and VXQR) are described and thoroughly compared in this article, embedding them in a multi-start method.
Pošík, Petr, Huyer, Waltraud
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Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source