The core focus of the thesis is making a course estimation of a wave buoy using two cameras. The method is based on an initial coarse tracking done individually on each camera using a Kernelized Correlation Filter, followed ...

Classification is a important problem in statistical and machine learning. In this thesis, I compare four widely used classification methods called Naïve Bayes, K-Nearest Neighbors, Logistic Regression, Linear and Quadratic ...

A crowdsourced system for user studies in information extraction

Watermarks have been used as certificates of quality and provenience of handmade paper since the 13th century. They are at the centre of a dedicated discipline, filigranology, which, along with bibliography and history, ...

Verb Sense Disambiguation is a well known task in NLP, the aim is to find the correct sense of a verb in a sentence. Recently, this problem has been extended in multimodal scenario, by exploiting both textual and visual ...

L'analisi del software ha sempre avuto un impatto fondamentale nel processo di sviluppo del software. La vita di oggi è circondata da programmi in esecuzione su una varietà di dispositivi, dai classici calcolatori personali ...

Il Dynamic voltage and frequency scaling (Dvfs) rappresenta una delle tecniche più conosciute ed utilizzate per tentare di ridurre il consumo energetico di una Cpu. L’efficacia di questo approccio è tuttavia, strettamente ...

Software obfuscation is the act of changing the inner workings of a program to make it more expensive in terms of time and effort to reverse engineer, while maintaining the same semantics. This practice has lately been ...

The thesis work consists in the research and analysis of the cryptographic non-conformities present in some docker images. We will illustrate the automation process for the collection of statistical samples aimed at ...