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Università della Svizzera italiana

A new constructive heuristic driven by machine learning for the traveling salesman problem

Mele, Umberto Junior ; Gambardella, Luca Maria ; Montemanni, Roberto

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...

Università della Svizzera italiana

From threat to risk : ghanging rationales and practices of secrecy

Heide, Marlen

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...

Università della Svizzera italiana

A review of digital fashion research : before and beyond communication and marketing

Nobile, Tekila Harley ; Noris, Alice ; Kalbaska, Nadzeya ; Cantoni, Lorenzo

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...

Università della Svizzera italiana

Promoting newsafety from the exile : the emergence of new journalistic roles in diaspora journalists’ networks

Porlezza, Colin ; Arafat, Rana

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....

Università della Svizzera italiana

Qualitative properties and relations

Plate, Jan

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...

Università della Svizzera italiana

Framing national security secrecy : a conceptual review

Heide, Marlen ; Villeneuve, Jean-Patrick

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...

Università della Svizzera italiana

Block-enhanced precision matrix estimation for large-scale datasets

Eftekhari, Aryan ; Pasadakis, Dimosthenis ; Bollhöfer, Matthias ; Scheidegger, Simon ; Schenk, Olaf

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...

Università della Svizzera italiana

VerifyThis 2019 : a program verification competition

Dross, Claire ; Furia, Carlo A ; Huisman, Marieke ; Monahan, Rosemary ; Müller, Peter

In: International Journal on Software Tools for Technology Transfer, 2021, vol. 23, p. 883–893

VerifyThis is a series of program verification competitions that emphasize the human aspect: participants tackle the verification of detailed behavioral properties—something that lies beyond the capabilities of fully automatic verification and requires instead human expertise to suitably encode programs, specifications, and invariants. This paper describes the 8th edition of VerifyThis, ...

Università della Svizzera italiana

Joint desirability foundations of social choice and opinion pooling

Casanova, Arianna ; Miranda, Enrique ; Zaffalon, Marco

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...

Università della Svizzera italiana

Facemask : from pandemic to marketplace iconicity

Silchenko, Ksenia ; Visconti, Luca M.

In: Consumption markets & culture, 2021, p. 24

As a result of Covid-19 outbreak, surgical facemasks first emerged as a pandemic icon to then expand into a marketplace icon, with substantial transformations in their meanings, uses, and commercial expressions. This essay contends that facemasks have become a (post-)pandemic marketplace icon by articulating tensions in the socio-cultural, the public media, and the economic sphere. Relying ...