A neural network for semantic labelling of structured information

Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources requires establishing correspondences between the information and known information classes. This can be achieved with semantic labelling, which assigns known labels to structured information by classifying it according to computed features. The existing proposals have explored different sets of features, without focusing on what classification techniques are used. In this paper we present three contributions: first, insights on architectural issues that arise when using neural networks for semantic labelling; second, a novel implementation of semantic labelling that uses a state-of-the-art neural network classifier which achieves significantly better results than other four traditional classifiers; third, a comparison of the results obtained by the former network when using different subsets of features, comparing textual features to structural ones, and domain-dependent features to domain-independent ones. The experiments were carried away with datasets from three real world sources. Our results show that there is a need to develop more semantic labelling proposals with sophisticated classification techniques and large features catalogues.Ministerio de Economía y Competitividad TIN2016-75394-

Automatización del proceso de distribución y ventas de la compañía CIM, haciendo uso de la metodología PML

Ingeniero (a) IndustrialPregrad

La evolución económica de Puerto Rico: dilemas, desafíos y oportunidades para desarrollar una política comprensiva de innovación nacional

253 p.La economía de Puerto Rico se ha caracterizado por una actividad económica centrada en una industria manufacturera impulsada por la localización de empresas extranjeras, fundamentalmente de los Estados Unidos. Un desarrollo económico dependiente que ha impedido la generación de una capacidad productiva endógena. La tesis investiga sobre la situación de las capacidades tecnológicas de Puesto Rico, estudiando las características de sus Sistema de Innovación, con la finalidad de realizar un diagnóstico de situación y proponer aquellas medidas que puedan contribuir a mejorar la potencialidad tecnológica y económica del país

Risk factors in localized renal cell carcinoma.

70 p.El carcinoma de células renales (CCR) es uno de los tumores urológicos más frecuentes. Los pacientes con enfermedad localizada son generalmente tratados quirúrgicamente con intención curativa. Sin embargo, un porcentaje no desdeñable de ellos desarrolla progresión tumoral tiempo después de la intervención. Por este motivo, el pronóstico del CCR es, actualmente, incierto y aún no se dispone de modelos predictivos aplicables a la práctica clínica. Con el objetivo de identificar factores pronósticos, se llevó a cabo un estudio de cohortes clínico retrospectivo sobre una muestra compuesta por pacientes intervenidos en el Hospital Príncipe de Asturias por CCR entre enero de 2010 y enero de 2017. Se incluyeron un total de 164 pacientes para el estudio de supervivencia global (SG) y 163 para el estudio de supervivencia cáncer específica (SCE) y supervivencia libre de progresión (SLP). El tiempo mediano de seguimiento fue de 75 meses. En el momento del estudio el 23,8% (39) había fallecido por cualquier causa y 1 falleció antes de los 30 primeros días tras la intervención (fue excluido para el análisis de SCE y SLP). El tiempo mediano hasta la muerte fue de 45 meses. El 35,9% (14) de los pacientes fallecidos lo hicieron a causa del CCR. El tiempo mediano hasta la muerte por tumor fue 28 meses. Del total de la muestra, el 14,1% (23) presentaron recidiva, siendo el tiempo mediano hasta la recidiva de 11 meses. Las variables que demostraron influir en la SG, SCE y SLP simultáneamente fueron la presencia de síntomas al diagnóstico, la presencia de anemia prequirúrgica, el tamaño patológico, el grado de Fuhrman, el estadio pT, la afectación de la grasa perirrenal, la afectación de la grasa del seno renal, la afectación capsular y la técnica quirúrgica.Renal cell carcinomas (RCC) are one of the most common urologic tumors. Patients with localized disease are generally treated surgically with curative intention. However, a significant percentage of these patients develop tumor progression after the procedure. For this reason, the prognosis of RCC is currently uncertain and there are still no predictive models available which are applicable to clinical practice. With the objective of identifying prognostic factors, a retrospective cohort study was carried out with a sample of patients operated in the Principe de Asturias Hospital due to RCC between January 2010 and January 2017. A total of 164 patients were included in the study of global survival (GS) and 163 patients were included in the study of cancer specific survival (CSS) and progression-free survival (PFS). The median follow-up time was 75 months. At the time of the study 23.8% (39) of the patients had died of any cause and 1 patient had died before the first 30 days after the surgical procedure (thus was excluded for the CSS and SLP analysis). The median time until death was 45 months. 35.9% (14) of the patients that had died, did so because of RCC. The median time until death due to tumor was 28 months. From the total sample, 14.1% (23) relapsed, being the median time until relapse 11 months. The variables that have demonstrated to have an influence in the GS, CSS and PFS simultaneously were: symptoms at diagnosis, presurgical anemia, pathologic tumor size, Fuhrman grade, pT stage, perirenal fat infiltration, renal sinus fat infiltration, renal capsule infiltration and surgical technique.Grado en Medicin

La evolución económica de Puerto Rico: dilemas, desafíos y oportunidades para desarrollar una política comprensiva de innovación nacional

253 p.La economía de Puerto Rico se ha caracterizado por una actividad económica centrada en una industria manufacturera impulsada por la localización de empresas extranjeras, fundamentalmente de los Estados Unidos. Un desarrollo económico dependiente que ha impedido la generación de una capacidad productiva endógena. La tesis investiga sobre la situación de las capacidades tecnológicas de Puesto Rico, estudiando las características de sus Sistema de Innovación, con la finalidad de realizar un diagnóstico de situación y proponer aquellas medidas que puedan contribuir a mejorar la potencialidad tecnológica y económica del país

Chain Homotopies for Object Topological Representations

This paper presents a set of tools to compute topological information of simplicial complexes, tools that are applicable to extract topological information from digital pictures. A simplicial complex is encoded in a (non-unique) algebraic-topological format called AM-model. An AM-model for a given object K is determined by a concrete chain homotopy and it provides, in particular, integer (co)homology generators of K and representative (co)cycles of these generators. An algorithm for computing an AM-model and the cohomological invariant HB1 (derived from the rank of the cohomology ring) with integer coefficients for a finite simplicial complex in any dimension is designed here. A concept of generators which are "nicely" representative cycles is also presented. Moreover, we extend the definition of AM-models to 3D binary digital images and we design algorithms to update the AM-model information after voxel set operations (union, intersection, difference and inverse)

AYNEC: All you need for evaluating completion techniques in knowledge graphs

The popularity of knowledge graphs has led to the development of techniques to refine them and increase their quality. One of the main refinement tasks is completion (also known as link prediction for knowledge graphs), which seeks to add missing triples to the graph, usually by classifying potential ones as true or false. While there is a wide variety of graph completion techniques, there is no standard evaluation setup, so each proposal is evaluated using different datasets and metrics. In this paper we present AYNEC, a suite for the evaluation of knowledge graph completion techniques that covers the entire evaluation workflow. It includes a customisable tool for the generation of datasets with multiple variation points related to the preprocessing of graphs, the splitting into training and testing examples, and the generation of negative examples. AYNEC also provides a visual summary of the graph and the optional exportation of the datasets in an open format for their visualisation. We use AYNEC to generate a library of datasets ready to use for evaluation purposes based on several popular knowledge graphs. Finally, it includes a tool that computes relevant metrics and uses significance tests to compare each pair of techniques. These open source tools, along with the datasets, are freely available to the research community and will be maintained.Ministerio de Economía y Competitividad TIN2016-75394-