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Università della Svizzera italiana

Identity reinforcement or risky organizational change? : Category spanning in humanitarian projects

Kooijman, Eva A. P. ; Beck, Nikolaus

In: Administrative sciences, 2021, vol. 11, no. 4, p. 17

In this study, we investigate the consequences of organizational change that consist of adding new categories to the portfolio of humanitarian organizations. Our aim is to discern differences in these consequences between specialist and generalist organizations. Previous research has shown that spanning categories lead to disadvantages in the evaluation of organizations by audience members in...

Università della Svizzera italiana

Artificial intelligence in thyroid field : a comprehensive review

Bini, Fabiano ; Pica, Andrada ; Azzimonti, Laura ; Giusti, Alessandro ; Ruinelli, Lorenzo ; Marinozzi, Franco ; Trimboli, Pierpaolo

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...

Università della Svizzera italiana

Managing the trade-off between groundwater resources and large-scale agriculture : the case of pistachio production in Iran

Akhavan, Ali ; Gonçalves, Paulo

In: System dynamics review, 2021, vol. 37, no. 2-3, p. 155-196

Benefiting from historically favorable conditions (e.g. low costs, fertile land, and abundant water), pistachio producers in Rafsanjan, Iran, have flourished, with pistachio orchards and production growing dramatically since the 1970s. Today, however, the enormous increase in water consumption associated with pistachio production has severely depleted groundwater aquifers, causing widespread...

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

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

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

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

Inflation bald als Folgeeffekt der COVID-19-Pandemie? = Inflation soon a consequence of the COVID-19 pandemic?

Beretta, Edoardo

In: List Forum für Wirtschafts- und Finanzpolitik, 2021, vol. 46, no. 3, p. 359-377

Although COVID-19 pandemic has so far been assumed to have recessivedeflationary consequences due to the dramatic deterioration of economic forecasts worldwide, inflation risks cannot be excluded. What effects might result from the combination of billion-high liquidity injections and high decline in production levels as well as strict (and costly) security and protection requirements? And why...

Università della Svizzera italiana

Testing machine learning based systems : a systematic mapping

Riccio, Vincenzo ; Jahangirova, Gunel ; Stocco, Andrea ; Humbatova, Nargiz ; Weiss, Michael ; Tonella, Paolo

In: Empirical Software Engineering, 2020, vol. 25, no. 6, p. 5193–5254

Context: A Machine Learning based System (MLS) is a software system including one or more components that learn how to perform a task from a given data set. The increasing adoption of MLSs in safety critical domains such as autonomous driving, healthcare, and finance has fostered much attention towards the quality assurance of such systems. Despite the advances in software testing, MLSs bring...

Università della Svizzera italiana

Immigration policy and immigrants' sleep : evidence from DACA

Giuntella, Osea ; Lonsky, Jakub ; Mazzonna, Fabrizio ; Stella, Luca

In: Journal of economic behavior and organization, 2021, vol. 182, no. February, p. 12 p

Stress is associated with sleep problems and poor sleep is linked to mental health and depression symptoms. The stress associated with immigrant status and immigration policy can directly affect mental health. While previous studies have documented the significant relationship between immigration policy and the physical and mental health of immigrants, we know little about the effects of...