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Università della Svizzera italiana

Sensor-based recognition of engagement during work and learning activities

Di Lascio, Elena ; Santini, Silvia (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO011.

Personal computing systems like e.g., laptop, smartphone, and smartwatches are nowadays ubiquitous in people's everyday life. People use such systems not only for communicating or searching for information, but also as digital companions, able to track and support their daily activities such as sleep, food intake, physical exercise and even work. Sensors embedded in personal computing systems...

Università della Svizzera italiana

The inferential configuration of arguments : the Argumentum Model of Topics

Greco, Sara ; Rigotti, Eddo

In: Inference in argumentation: a topics-based approach to argument schemes, 2019, vol. 34, p. 207-245

In this chapter, our proposal for the analysis of argument schemes as based on the tradition of topoi-loci called the Argumentum Model of Topics (AMT) is presented (first introduced in Rigotti and Greco 2006). We explain how the AMT represents the inferential configuration of arguments and discuss innovative aspects of the model in relation to other contemporary accounts. After having outlined...

Université de Fribourg

Including Covariates in the Regression Discontinuity Design

Frölich, Markus ; Huber, Martin

In: Journal of Business and Economic Statistics, 2019, vol. 37, no. 4, p. 736-748

This article proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one- dimensional nonparametric regression, irrespective of the...

Università della Svizzera italiana

Learning structured neural representations for visual reasoning tasks

van Steenkiste, Sjoerd ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO019.

Deep neural networks learn representations of data to facilitate problem-solving in their respective domains. However, they struggle to acquire a structured representation based on more symbolic entities, which are commonly understood as core abstractions central to human capacity for generalization. This dissertation studies this issue for visual reasoning tasks. Inspired by how humans solve...

Università della Svizzera italiana

An interdisciplinary approach to investigate preschool children’s implicit inferential reasoning in scientific activities

Convertini, Josephine

In: Research in science education, 2020, p. 16 p

The implementation of Science, Technology, Engineering, and Mathematics (STEM) at school is one of the challenges of education in the twenty- first century, especially concerning the development of critical thinking during argumentative interactions. In this paper, I refer to an interdisciplinary approach with the aim to analyze the implicit inferential reasoning emerging in argumentative...

Università della Svizzera italiana

Opinion mining for software development

Lin, Bin ; Bavota, Gabriele (Dir.) ; Lanza, Michele (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO010.

Opinion mining, which uses computational methods to extract opinions and sentiments from natural language texts, can be applied to various software engineering (SE) tasks. For example, developers can mine user feedback from mobile app reviews to understand how to improve their products, and software team leaders can assess developers' mood and emotions by mining communication logs or commit...

Université de Fribourg

Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm

Berrut, Jean-Paul ; Marchi, S. De ; Elefante, Giacomo ; Marchetti, F.

In: Applied Mathematics Letters, 2020, vol. 103, p. 106196

In this work, we extend the so-called mapped bases or fake nodes approach to the barycentric rational interpolation of Floater–Hormann and to AAA approximants. More precisely, we focus on the reconstruction of discontinuous functions by the S-Gibbs algorithm introduced in De Marchi et al. (2020). Numerical tests show that it yields an accurate approximation of discontinuous functions.

Université de Fribourg

An introduction to flexible methods for policy evaluation

Huber, Martin

(Working Papers SES ; 504)

This chapter covers different approaches to policy evaluation for assessing the causal effect of a treatment or intervention on an outcome of interest. As an introduction to causal inference, the discussion starts with the experimental evaluation of a randomized treatment. It then reviews evaluation methods based on selection on observables (assuming a quasi-random treatment given observed...

Università della Svizzera italiana

Advances in barycentric rational interpolation of a function and its derivatives

Cirillo, Emiliano ; Hormann, Kai (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2019 ; 2019INFO007.

Linear barycentric rational interpolants are a particular kind of rational interpolants, defined by weights that are independent of the function f. Such interpolants have recently proved to be a viable alternative to more classical interpolation methods, such as global polynomial interpolants and splines, especially in the equispaced setting. Other kinds of interpolants might indeed suffer...