Distribution-Based Categorization of Classifier Transfer Learning

Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. Due to its relevance, TL has gained significant interest in the Machine Learning community since it paves the way to devise intelligent learning models that can easily be tailored to many different applications. As it is natural in a fast evolving area, a wide variety of TL methods, settings and nomenclature have been proposed so far. However, a wide range of works have been reporting different names for the same concepts. This concept and terminology mixture contribute however to obscure the TL field, hindering its proper consideration. In this paper we present a review of the literature on the majority of classification TL methods, and also a distribution-based categorization of TL with a common nomenclature suitable to classification problems. Under this perspective three main TL categories are presented, discussed and illustrated with examples

As novas tecnologias de informação no ensino da biologia: um estudo sobre fotossíntese com alunos do 10º ano de escolaridade

Ao longo das duas últimas décadas, investigações desenvolvidas no domínio do ensino da Biologia revelaram que muitos alunos possuíam concepções alternativas. Este facto conduziu ao incremento de uma linha de investigação centrada em estratégias de ensino que pudessem facilitar o desenvolvimento/ reestruturação dessas concepções. Algumas dessas estratégias incluem o recurso às Tecnologias de Informação, nomeadamente, ao Sistema de Aquisição e Tratamento de Dados (SATD), uma vez que este equipamento, ao permitir reduzir o tempo gasto no tratamento de dados, disponibiliza um maior período de tempo para os alunos preverem resultados, reflectirem e discutirem resultados obtidos, bem como compararem resultados discrepantes. Tendo como referência estas investigações, realizou-se um estudo, no tema "Fotossíntese", que incluiu 41 alunos do 10.0 ano de escolaridade, distribuídos por duas turmas - uma experimental e outra de controlo. As duas desenvolveram actividades laboratoriais, com recurso, respectivamente, ao SATD (turma experimental) e a equipamento tradicional (turma de controlo). A análise de resultados mostrou que os alunos da primeira revelaram, relativamente aos alunos da segunda, uma evolução conceptual mais extensa no tópico "Fotossíntese". Estes resultados parecem indicar que o SATD constitui um factor facilitador da aprendizagem dos alunos.During the last two decades, research studies carried out within the domain of biology educacion have shown that many students' hold alternative conceptions. This fact led to the development of another area of research that focuses on teaching strategies aiming at developing/restructuring those conceptions. Some of those strategies are based on information technology, namely on datalloging. Several researchers have argued that datalogging reduces the time usually spent with data handling and therefore releases a longer time interval (that can be used) for prevision of results, reflection upon both discussion of data collected and discrepant results. In order to evaluate the efficacy of datalogging to promote students' conceptual development a research study focusing on photosynthesis was canied out. The research was undertaken with 41 tenth graders that were allocated to a control class and to an experimental class. Both classes carried out the sarne laboratory activities but the former used traditional lab equipment whilst the latter utilised datalogging. The analysis of the results shows that students in the experimental class experienced a deeper conceptual change than their control class counterparts. These results seem to indicare that datalogging facilitares students’ learning on photosynthesis.Des recherches dans le domaine de l'enseignement de la Biologie ont révélé que bien des d'éleves possedent des conceptions alternatives. Ce fait a conduit au développement d'une autre ligne de recherche centrée sur des sLratégies d'enseignement qui facilitem le développement/restructuration de ces conceptions. Certaines de ces stratégies incluent des Technologies de l'Information, notamment "l'expérimentation assistée par ordinateur" (ExAO), vu qu'il permet de réduire le temps gaspillé avec le traitement des données, offre plus de temps pour que les éleves prévoient des résultats, réfléchissent sur les résultats obtenus et en discutent, et qu'ils comparent les résultats discordants. Ayant pour référence ces lignes de recherche, on a réalisé une étude, sur la photosynthese, qui a indu 41 éleves de la lüe année de scolarité, distribués dans deux classes - une expérimentale et une autre de contrôle. Les deux classes ont développé des activités de laboratoire en recourant respectivement au ExAO et à un équipement traditionnel. L'analyse des résultats a montré que les éleves de la classe expérimentale ont révélé, relativement aux éleves de la classe de contôle, une évolution conceptuelle plus large dans la photosynthese. Ces résultats semblent indiquer que le ExAO constitue un facteur qui facilite l'apprentissage des éleves

Pediatric Oncology Quality of Life Scale (POQOLS): adaptação de um instrumento para a população portuguesa

Lestocquoy Jean. Une pièce inconnue du trésor de Graincourt-lès-Havrincourt (Pas-de-Calais). In: Bulletin de la Société Nationale des Antiquaires de France, 1976, 1978. p. 171

Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition

In this paper we present a system for the detection of immunogold particles and a Transfer Learning (TL) framework for the recognition of these immunogold particles. Immunogold particles are part of a high-magnification method for the selective localization of biological molecules at the subcellular level only visible through Electron Microscopy. The number of immunogold particles in the cell walls allows the assessment of the differences in their compositions providing a tool to analise the quality of different plants. For its quantization one requires a laborious manual labeling (or annotation) of images containing hundreds of particles. The system that is proposed in this paper can leverage significantly the burden of this manual task. For particle detection we use a LoG filter coupled with a SDA. In order to improve the recognition, we also study the applicability of TL settings for immunogold recognition. TL reuses the learning model of a source problem on other datasets (target problems) containing particles of different sizes. The proposed system was developed to solve a particular problem on maize cells, namely to determine the composition of cell wall ingrowths in endosperm transfer cells. This novel dataset as well as the code for reproducing our experiments is made publicly available. We determined that the LoG detector alone attained more than 84\% of accuracy with the F-measure. Developing immunogold recognition with TL also provided superior performance when compared with the baseline models augmenting the accuracy rates by 10\%

Towards graphical user interface redefinition without source code access: System design and evaluation

Nowadays several interactive computing systems (ICSs) still have Graphical User Interfaces (GUIs) that are inadequate in terms of usability and user experience. Numerous improvements were made in the development of better GUIs however, little has been done to improve existing ones. This might be explained by the fact that most ICSs do not provide source code access. In most cases, this means that only persons with source code access can (easily) enhance the respective GUI. This paper presents a tool using computer vision (CV) algorithms to semi-automatically redefine existing GUIs without accessing their source code. The evaluation of a new GUI obtained from the redefinition of an existing GUI using the tool is described. Results show statistically significant improvements in usability (reduction of interaction mistakes), improved task completion success rate and improved user satisfaction.info:eu-repo/semantics/acceptedVersio