In: Cancers, 2021, vol. 13, no. 19, p. 18
Artificial intelligence (AI) uses mathematical algorithms to perform tasks that require human cognitive abilities. AI-based methodologies, e.g., machine learning and deep learning, as well as the recently developed research field of radiomics have noticeable potential to transform medical diagnostics. AI-based techniques applied to medical imaging allow to detect biological abnormalities, to...
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In: Algorithms, 2021, vol. 14, no. 9, p. 25
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with the issues. A CL is defined as a subset of all the edges linked to a given vertex such that it contains mainly edges that are believed to be...
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In: Public integrity, 2021, p. 13
This article explores how risk rationales affect and alter national security secrecy. While the transformation of defense and security policy has been widely discussed by security theorists, transparency scholars have not yet considered the notion of risk in their conceptualizations of national security secrecy. This article draws on security studies literature to outline the divergences...
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In: International journal of fashion design, technology and education, 2021, vol. 14, no. 3, p. 293-301
This paper focuses on the field of digital fashion and its development by providing an overview regarding fashion design and culture. It is part of a larger research that involved a literature review of 491 relevant papers. From the analysis of this corpus, three main categories were identified: Communication and Marketing, Design and Production and Culture and Society. This study focuses on...
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In: Journalism practice, 2021, p. 23
Diaspora journalists and digital media play an important role as stakeholders for war-ridden homeland media landscapes such as Syria. This study analyzes, from a safety in practice perspective, the physical and digital threats that challenge the work of Syrian citizen journalists examining the role of three online advocacy networks created by Syrian diaspora journalists to promote newsafety....
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In: Philosophical studies, 2021, p. 26
This paper is concerned with two concepts of qualitativeness that apply to intensional entities (i.e., properties, relations, and states of affairs). I propose an account of pure qualitativeness that largely follows the traditional understanding established by Carnap, and try to shed light on its ontological presuppositions. On this account, an intensional entity is purely qualitative iff it...
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In: International journal, 2021, vol. 76, no. 2, p. 238-256
This essay investigates justifications for the “necessity” of official secrecy, by tracing and structuring the rationales underlying it. Justifications will be investigated through the case of “national security secrecy,” a prominent example of official secrecy. While the literature generally treats “national security secrecy” as unidimensional, this analysis demarcates several...
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In: Journal of computational science, 2021, vol. 53, p. 13
The ℓ1-regularized Gaussian maximum likelihood method is a common approach for sparse precision matrix estimation, but one that poses a computational challenge for high-dimensional datasets. We present a novel ℓ1- regularized maximum likelihood method for performant large-scale sparse precision matrix estimation utilizing the block structures in the underlying computations. We identify the...
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In: Computer aided geometric design, 2021, vol. 88, p. 11
Bézier curves are indispensable for geometric modelling and computer graphics. They have numerous favourable properties and provide the user with intuitive tools for editing the shape of a parametric polynomial curve. Even more control and flexibility can be achieved by associating a shape parameter with each control point and considering rational Bézier curves, which comes with the...
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In: Annals of Mathematics and Artificial Intelligence, 2021, no. 89, p. 965–1011
We develop joint foundations for the fields of social choice and opinion pooling using coherent sets of desirable gambles, a general uncertainty model that allows to encompass both complete and incomplete preferences. This leads on the one hand to a new perspective of traditional results of social choice (in particular Arrow’s theorem as well as sufficient conditions for the existence of an...
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