Refine my results

Institution

Specific Collection

Language

Università della Svizzera italiana

Text mining for online mental health state and personality assessment

Ríssola, Esteban A. ; Crestani, Fabio (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO009.

Advances on psycho-linguistics have evidenced that the ways in which people use words could act as a reliable source to assess a wide array of behaviours. Language use acts as an indicator of the individuals’ current mental state, personality and even personal values. In this thesis, we focus on language analysis to study two closely related processes which encompass integral components of...

Università della Svizzera italiana

Predicting failures in complex multi-tier systems

Xin, Rui ; Pezzè, Mauro (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO017.

Complex multi-tier systems are composed of many distributed machines, feature multi-layer architecture and offer different types of services. Shared complex multi-tier systems, such as cloud systems, reduce costs and improves resource utilization efficiency, with a considerable amount of complexity and dynamics that challenge the reliability of the system. The new challenges of complex...

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

Essays on financial markets predictability

Pisati, Matteo Maria ; Barone Adesi, Giovanni (Dir.) ; Mira, Antonietta (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020ECO007.

Empirical indicators of sentiment are commonly employed in the economic literature while a precise understanding of what is sentiment is still missing. Exploring the links among the most popular proxies of sentiment, fear and uncertainty this paper aims to fill this gap. We show how fear and sentiment are specular in their predictive power in relation to the aggregate market and to...

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

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

Leukocyte tracking database, a collection of immune cell tracks from intravital 2-photon microscopy videos

Pizzagalli, Diego Ulisse ; Farsakoglu, Yagmur ; Palomino-Segura, Miguel ; Palladino, Elisa ; Sintes, Jordi ; Marangoni, Francesco ; Mempel, Thorsten R. ; Koh, Wan Hon ; Murooka, Thomas T. ; Thelen, Flavian ; Stein, Jens V. ; Pozzi, Giuseppe ; Marcus Thelen ; Krause, Rolf ; Gonzalez, Santiago Fernandez

In: Scientific data, 2018, vol. 5, p. 180129

Recent advances in intravital video microscopy have allowed the visualization of leukocyte behavior in vivo, revealing unprecedented spatiotemporal dynamics of immune cell interaction. However, state-of-the-art software and methods for automatically measuring cell migration exhibit limitations in tracking the position of leukocytes over time. Challenges arise both from the complex migration...

Università della Svizzera italiana

New architectures for very deep learning

Srivastava, Rupesh Kumar ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO006.

Artificial Neural Networks are increasingly being used in complex real- world applications because many-layered (i.e., deep) architectures can now be trained on large quantities of data. However, training even deeper, and therefore more powerful networks, has hit a barrier due to fundamental limitations in the design of existing networks. This thesis develops new architectures that, for the...

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

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...