Refine my results

Institution

Specific Collection

Language

Università della Svizzera italiana

Mining unstructured software data

Bacchelli, Alberto ; Lanza, Michele (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2013 ; 2013INFO003.

Our thesis is that the analysis of unstructured data supports software understanding and evolution analysis, and complements the data mined from structured sources. To this aim, we implemented the necessary toolset and investigated methods for exploring, exposing, and exploiting unstructured data.To validate our thesis, we focused on development email data. We found two main challenges in...

Università della Svizzera italiana

Asset prices and demand shocks

Barbon, Andrea ; Franzoni, Francesco (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020ECO002.

My dissertation consists of three chapters, each of which focuses on a different area of research in asset pricing. The first chapter deals with the informational role of brokerage firms during fire sales in the equity market. The second chapter exploits the ETF program by the bank of Japan as a quasi-natural experiment to measure the slope of the equity demand curve. The last chapter presents...

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

Advanced metaheuristics for the probabilistic orienteering problem

Chou, Xiaochen ; Gambardella, Luca Maria (Dir.) ; Montemanni, Roberto (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO020.

Stochastic Optimization Problems take uncertainty into account. For this reason they are in general more realistic than deterministic ones, meanwhile, more difficult to solve. The challenge is both on modelling and computation aspects: exact methods usually work only for small instances, besides, there are several problems with no closed-form expression or hard- to-compute objective functions....

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

Adaptive routing in ad hoc wireless multi-hop networks

Ducatelle, Frederick ; Gambardella, Luca Maria (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2007 ; 2007INFO001.

Ad hoc wireless multi-hop networks (AHWMNs) are communication networks that consist entirely of wireless nodes, placed together in an ad hoc manner, i.e. with minimal prior planning. All nodes have routing capabilities, and forward data packets for other nodes in multi-hop fashion. Nodes can enter or leave the network at any time, and may be mobile, so that the network topology continuously...

Università della Svizzera italiana

Teaching networks how to learn : reinforcement learning for data dissemination in wireless sensor networks

Förster, Anna ; Murphy, Amy L. (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2009 ; 2009INFO001.

Wireless sensor networks (WSNs) are a fast developing research area with many new exciting applications arising, ranging from micro climate and environmental monitoring through health and structural monitoring to interplanetary communications. At the same time researchers have invested a lot of time and effort into developing high performance energy efficient and reliable communication protocols...

Università della Svizzera italiana

Online disturbance prediction for enhanced availability in smart grids

Kaitovic, Igor ; Malek, Miroslaw (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2017 ; 2017INFO011.

A gradual move in the electric power industry towards Smart Grids brings new challenges to the system's efficiency and dependability. With a growing complexity and massive introduction of renewable generation, particularly at the distribution level, the number of faults and, consequently, disturbances (errors and failures) is expected to increase significantly. This threatens to compromise...

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

Towards adaptive and autonomous humanoid robots : from vision to actions

Leitner, Jürgen ; Schmidhuber, Jürgen (Dir.) ; Förster, Alexander (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2014 ; 2014INFO020.

Although robotics research has seen advances over the last decades robots are still not in widespread use outside industrial applications. Yet a range of proposed scenarios have robots working together, helping and coexisting with humans in daily life. In all these a clear need to deal with a more unstructured, changing environment arises. I herein present a system that aims to overcome the...