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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

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...

Consortium of Swiss Academic Libraries

Robust Bayesian model averaging for the analysis of presence-absence data

Corani, Giorgio ; Mignatti, Andrea

In: Environmental and Ecological Statistics, 2015, vol. 22, no. 3, p. 513-534

Università della Svizzera italiana

Gaussian mean field regularizes by limiting learned information

Kunze, Julius ; Kirsch, Louis ; Ritter, Hippolyt ; Barber, David

In: Entropy, 2019, vol. 21, no. 8, p. 758

Variational inference with a factorized Gaussian posterior estimate is a widely-used approach for learning parameters and hidden variables. Empirically, a regularizing effect can be observed that is poorly understood. In this work, we show how mean field inference improves generalization by limiting mutual information between learned parameters and the data through noise. We quantify a...

Università della Svizzera italiana

Bayesian dependence tests for continuous, binary and mixed continuous-binary variables

Benavoli, Alessio ; De Campos, Cassio P.

In: Entropy, 2016, vol. 18, no. 9, p. 326

Tests for dependence of continuous, discrete and mixed continuous-discrete variables are ubiquitous in science. The goal of this paper is to derive Bayesian alternatives to frequentist null hypothesis significance tests for dependence. In particular, we will present three Bayesian tests for dependence of binary, continuous and mixed variables. These tests are nonparametric and based on the...

Université de Fribourg

Estimating the phylogeny of geoemydid turtles (Cryptodira) from landmark data: an assessment of different methods

Ascarrunz​, Eduardo ; Claude, Julien ; Joyce, Walter G.

In: PeerJ, 2019, vol. 7, p. e7476

Background: In the last 20 years, a general picture of the evolutionary relationships between geoemydid turtles (ca. 70 species distributed over the Northern hemisphere) has emerged from the analysis of molecular data. However, there is a paucity of good traditional morphological characters that correlate with the phylogeny, which are essential for the robust integration of fossil and...