The contribution of multitemporal information from multispectral satellite images for automatic land cover classification at the national scale

Thesis submitted to the Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Information Management – Geographic Information Systems

Clinical classification versus semiquantification with adapted reference values for 123I-FP-CIT SPECT in a nuclear medicine department

Semi quantification (SQ) in DaTScan® studies is broadly used in clinic daily basis, however there is a suspicious about its discriminative capability, and concordance with the diagnostic classification performed by the physician. Aim: Evaluate the discriminate capability of an adapted database and reference's values of healthy controls for the Dopamine Transporters (DAT) with 123I–FP-IT named DBRV adapted to Nuclear Medicine Department's protocol and population of Infanta Cristina's Hospital, and its concordance with the physician classification.

Unsupervised automatic music genre classification

Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática

Linguagens documentais para as bibliotecas escolares: o caso da Espanha, Portugal e Brasil

Este artigo analisa as características específicas e os processos de indexação e classificação realizados em bibliotecas escolares para tratar e recuperar as informações de suas coleções. Também se analisam as linguagens como ferramentas documentais específicas utilizadas em bibliotecas escolares portuguesas espanholas, portuguesas e brasileiras. Para atingir este objetivo, o modelo de biblioteca escolar é estudado de forma crítica, se analisa o conceito de biblioteca escolar de forma crítica, se estudam suas funções e se examinam as técnicas e os instrumentos que permitem organizar a informação. Entre outras ferramentas, estudam-se listas de cabeçalhos de assuntos como os Cabeçalhos de assuntos para livros infantis e juvenis e a Lista de Cabeçalhos de assuntos para as bibliotecas; sistemas de classificação, como a Classificação Decimal Universal (edição de bolso) ou a classificação por centros de interesse e tesauros especializados como o Tesauro da Educação UNESCO-OIE e o Tesauro Europeu da Educação, entre outros.

Classification Performance of Multilayer Perceptrons with Different Risk Functionals

In the present paper we assess the performance of information-theoretic inspired risks functionals in multilayer perceptrons with reference to the two most popular ones, Mean Square Error and Cross-Entropy. The information-theoretic inspired risks, recently proposed, are: HS and HR2 are, respectively, the Shannon and quadratic Rényi entropies of the error; ZED is a risk reflecting the error density at zero errors; EXP is a generalized exponential risk, able to mimic a wide variety of risk functionals, including the information-thoeretic ones. The experiments were carried out with multilayer perceptrons on 35 public real-world datasets. All experiments were performed according to the same protocol. The statistical tests applied to the experimental results showed that the ubiquitous mean square error was the less interesting risk functional to be used by multilayer perceptrons. Namely, mean square error never achieved a significantly better classification performance than competing risks. Cross-entropy and EXP were the risks found by several tests to be significantly better than their competitors. Counts of significantly better and worse risks have also shown the usefulness of HS and HR2 for some datasets.

Automatic cymbal classification

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Informática

Partial classification of Lorenz knots: Syllable permutations of torus knots words

We define families of aperiodic words associated to Lorenz knots that arise naturally as syllable permutations of symbolic words corresponding to torus knots. An algorithm to construct symbolic words of satellite Lorenz knots is defined. We prove, subject to the validity of a previous conjecture, that Lorenz knots coded by some of these families of words are hyperbolic, by showing that they are neither satellites nor torus knots and making use of Thurston's theorem. Infinite families of hyperbolic Lorenz knots are generated in this way, to our knowledge, for the first time. The techniques used can be generalized to study other families of Lorenz knots.

Text classification using compression-based dissimilarity measures

Arguably, the most difficult task in text classification is to choose an appropriate set of features that allows machine learning algorithms to provide accurate classification. Most state-of-the-art techniques for this task involve careful feature engineering and a pre-processing stage, which may be too expensive in the emerging context of massive collections of electronic texts. In this paper, we propose efficient methods for text classification based on information-theoretic dissimilarity measures, which are used to define dissimilarity-based representations. These methods dispense with any feature design or engineering, by mapping texts into a feature space using universal dissimilarity measures; in this space, classical classifiers (e.g. nearest neighbor or support vector machines) can then be used. The reported experimental evaluation of the proposed methods, on sentiment polarity analysis and authorship attribution problems, reveals that it approximates, sometimes even outperforms previous state-of-the-art techniques, despite being much simpler, in the sense that they do not require any text pre-processing or feature engineering.

Indizar, clasificar y organizar las colecciones de las bibliotecas escolares: herramientas en lengua española y portuguesa

La biblioteca escolar es un servicio de información básico para todos los miembros de una comunidad educativa, que forma parte de los espacios docentes de los centros y de los procesos pedagógicos que tienen lugar en ellos. Las bibliotecas escolares funcionan como centros de recursos para las actividades de enseñanza-aprendizaje, están constituidas por un conjunto sistematizado y dinámico de servicios y fondos documentales que permiten a los usuarios desarrollar hábitos lectores y buscar y valorar las fuentes de información, entre otras relevantes funciones. Los recursos de información que albergan son uno de sus principales activos, pero si colección documental no está organizada, las tareas de búsqueda y localización de la información resultarán complicadas y la calidad de los recursos obtenidos, cuestionable. Los bibliotecarios deben conocer en profundidad las características específicas del fondo documental y las fuentes disponibles; las técnicas y herramientas adecuadas para procesar y tratar el fondo bibliográfico, así como los métodos de recuperación de la información más convenientes. En este contexto, el objetivo de este trabajo es analizar de forma pormenorizada los procesos de indización y clasificación que se realizan en las bibliotecas escolares para procesar y recuperar la información que albergan su colecciones, así como describir las características más relevantes de las herramientas específicas que se usan en las bibliotecas escolares españolas, brasileñas y portuguesas, adaptadas a las características de los usuarios que utilizan sus servicios y acuden a ellas para resolver necesidades de información. Para lograr este propósito, se analiza el concepto de biblioteca escolar de forma crítica, se estudian sus funciones y se examinan las técnicas y los instrumentos que permiten organizar la información. Entre otras herramientas, se estudian listas de encabezamientos de materia como los Encabezamientos de materia para libros infantiles y juveniles y la Lista de Encabezamientos de materia para las bibliotecas públicas; sistemas de clasificación, como la Clasificación Decimal Universal (edición de bolsillo) o la clasificación por centros de interés y tesauros especializados como el Tesauro de la Educación UNESCO-OIE y el Tesauro Europeo de la Educación, entre otros.

Multi-scale vegetation classification using earth observation data of the Sundarban mangrove forest, Bangladesh.

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.

On the Sensor Classification Scheme of Robotic Manipulators

This paper analyzes the signals captured during impacts and vibrations of a mechanical manipulator. The Fourier Transform of eighteen different signals are calculated and approximated by trendlines based on a power law formula. A sensor classification scheme based on the frequency spectrum behavior is presented.

Towards a classification scheme for musical sounds

Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013

Impact of RIFLE Classification in Liver Transplantation

Acute renal failure (ARF) is common after orthotopic liver transplantation (OLT). The aim of this study was to evaluate the prognostic value of RIFLE classification in the development of CKD, hemodialysis requirement, and mortality. Patients were categorized as risk (R), injury (I) or failure (F) according to renal function at day 1, 7 and 21. Final renal function was classified according to K/DIGO guidelines. We studied 708 OLT recipients, transplanted between September 1992 and March 2007; mean age 44 +/- 12.6 yr, mean follow-up 3.6 yr (28.8% > or = 5 yr). Renal dysfunction before OLT was known in 21.6%. According to the RIFLE classification, ARF occurred in 33.2%: 16.8% were R class, 8.5% I class and 7.9% F class. CKD developed in 45.6%, with stages 4 or 5d in 11.3%. Mortality for R, I and F classes were, respectively, 10.9%, 13.3% and 39.3%. Severity of ARF correlated with development of CKD: stage 3 was associated with all classes of ARF, stages 4 and 5d only with severe ARF. Hemodialysis requirement (23%) and mortality were only correlated with the most severe form of ARF (F class). In conclusion, RIFLE classification is a useful tool to stratify the severity of early ARF providing a prognostic indicator for the risk of CKD occurrence and death.

An automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference

In the last few years the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how good is a voice when the application is a speech based interface. In this paper we present a new automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference. Our study is based on a multi-language database composed by female voices. In the objective performance evaluation the system achieved a 7.3% error rate.