• Inverse optimal control for modeling virus mutations in SARS-CoV-2

  Meijer, Ilse (2022)

  Inverse Optimal Control (IOC) deals with the problem of recovering an unknown cost function in a Markov decision process from expert demonstrations acting optimally. In this thesis we apply IOC to SARS-CoV-2 data. For ...
• Extraction and categorization of Japanese lexical collocations with graph-aware transformers

  Nisho, Kosuke James (2022)

  Lexical collocations may be identified and categorized in context, which is helpful for language acquisition, dictionary creation, and many other downstream NLP tasks. However, the automatic collocation extraction and ...
• Taxonomic classification of metagenomic reads using machine learning models

  Alcobé Garcia, Eduard (2022)

  Microorganisms such as bacteria can be hard to identify correctly. Most current classification techniques are based on well conserved genes, for instance the 16S ribosomal RNA (16S rRNA). Nevertheless, achieving a ...
• Task and motion planning: scaling up

  Dalmau Moreno, Magí (2022)

  This master thesis contributes to provide planning capabilities to embodied agents so that they are able to decide what sequence of actions should be taken to solve a given complex problem, involving coupled reasoning ...
• A novel message passing approach to spatial air quality prediction in urban areas

  Calo Oliveira, Sergio (2022)

  Air pollution in our cities is a very significant cause of death and worsening of the quality of life in current times. Knowing in depth this phenomenon and its details and building tools that help us to mitigate its ...
• Linguistic emergence in deep neural networks

  Locatelli Metz, Davide (2022)

  Recent work in Emergent Communication has shown that deep neural networks can develop successful strategies of referential communication. Arguably, the extent to which they can do so depends on the properties of the ...
• Exploration of articular cartilage biomechanical response during gait of patient with knee osteoarthritis using finite element models

  Giménez Lozano, Marina (2022)

  Knee osteoarthritis (OA) is one of the most prevalent forms of arthritis and one of the leading causes of disability. The pathological traits consist of articular cartilage degradation and bone thickening, among other ...
• Aplicación de técnicas computacionales de extracción y análisis de datos para entender mejor la ciendia ciudadana

  Martínez Almansa, Mara (2022)

  La ciencia ciudadana es un nuevo proceso participativo que se utiliza en ciencia que permite a cualquier ciudadano participar en proyectos científicos. CS Track es un proyecto Europeo H2020 que tiene como objetivo ampliar ...
• Cancer differentiation therapy dynamics in a hybrid model of avascular tumor growth

  Borràs Sánchez, Marc (2022)

  Cancer is not one disease but many, making it very difficult to successfully develop treatments that effectively end it. Yet, a very promising approach still underde- veloped is differentiation therapy (DTH). As it has ...
• Osteoporosis pharmacological treatment evaluation through femoral biomechanical response using DXA-based 3D Finite Element Modelling

  Pérez Tomàs, Marina M. (2022)

  Osteoporotic hip fractures are one of the most severe an individual can suffer due to their high mortality rate. There are pharmacological treatments such as Alen-dronate (AL), Denosumab (DMAB), and Teriparatide (PTH) that ...
• Towards the use of meshless methods to simulate brain growth in early development

  Carandell Verdaguer, Francesc (2022)

  The process by which the brain develops from a smooth surface at early weeks of gestation to a folded surface with sulci and gyri at the neonatal stage is still an unsolved question. Despite the hypotheses proposed by ...
• Identification and localization of septal flash by the means of time distributed networks and class activation maps

  Capallera Guirado, Isaac (2022)

  Cardiac resynchronization therapy (CRT) has been a significant step forward in the treatment of patients with arrhythmias leading to heart failure. However, it still presents two main issues. Firstly, the criteria to be ...
• VProject: creating an AI and simulation system for the study of complex diseases and applying it to lung cancer

  Romero Hernández, Joel (2022)

  Complex diseases like cancer are one of the most serious sources of suffering and death. Their multifactorial nature and multiscale effects compromise the patient’s health and life, so there is a need for new tools for ...
• Dynamical analysis of gait motion in osteoarthritic women patients

  Torras Piedehierro, Judith (2022)

  Over 300 million people around the world, mainly women, suffer from Osteoarthritis (OA), a multifactorial disease affecting joints. It occurs most frequently in hands, hips, and knees. The most common solution is having ...
• Development of skeletal muscle contraction computer physiology practices for human biology, medicine and biomedical engineering

  Karenik, Karina (2022)

  Inside Pompeu Fabra University students of Biomedical Engineering, Medicine and Human Biology bachelor degrees must perform several physiology practices by using a software. In more detail, the software in question is ...
• Mechano-regulation study in scaffolds for tissue engineering using fluid-structure interaction models

  Moliner Carrillo, Laia (2022)

  The body cannot heal bone fractures surpassing 2 cm, so nowadays, graft surgery is the only available treatment. Nonetheless, this entails serious risks such as immune rejection, second medical interventions, and ...
• Analysis of the exploration-exploitation trade-off in the Koa Foundations app usage

  Sánchez Ruiz, Laura (2022)

  Decision-making is a fundamental human behavior. In our day-to-day lives, we are constantly coming across the problem of choosing among multiple options, which we aim to solve by maximizing the outcomes. To achieve this, ...
• Determination of biomechanical parameters from dual X-ray absorptiometry measurements

  Ruiz Milla, Liliana Stephania (2022)

  Osteoporotic hip fractures represent a high risk for people over 60 years of age, with a reduction in life expectancy of 20% and a reduction in functional capacity of 50%. Currently, dual X-ray absorptiometry (DXA) is ...
• Super-resolution of magnetic resonance fetal images using sequential generative adversarial networks

  Obelleiro Liz, Manuel (2022)

  Magnetic Resonance imaging is a really important imaging technique distinguished by the lack of ionizing radiation, great soft-tissue contrast and remarkable resolution. The main drawback of performing a Magnetic Resonance ...
• Deep learning techniques for optic nerve evaluation on multiple sclerosis patients using MRI

  Frías Nestares, Marcos (2022)

  Optic neuritis is a condition in which the optic nerve is lesioned, provoking visual loss, and it is one of the first manifestations of multiple sclerosis. A correct evaluation of the nerve could help in the diagnosis ...

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