1,720,963 research outputs found
Modelo de visão computacional para identificação de alimentos em refeições a partir da segmentação obtida por múltiplas redes completamente convolucionais
Full text linkThe strategy of counting carbohydrates in consumed foods is recommended by scientific societies
as a way to improve the quality of life for diabetes patients. Monitoring food intake can
be facilitated by using a mobile application that automatically recognizes the foods in a meal.
Automatic recognition of food images is considered a challenging task for computer vision due
to the similarity between foods. This challenge increases when the goal is to classify foods from
a specific region and with a dataset containing only foods from that region, and therefore, small
compared to public datasets from other countries. For this task, this work presents a model
that uses a set of Fully Convolutional Networks (FCNs) to generate segmentations of foods in a
meal. These segmentations are processed by an algorithm that classifies the foods using digital
image processing techniques. The model has low training costs and is scalable, meaning it can
be trained to recognize a new food without the need to retrain the entire model. In the tests,
foods consumed in Brazil were used, achieving an accuracy of 98.2% and a recall of 87.8%.A estratégia de contar os carboidratos dos alimentos consumidos é recomendada por sociedades
científicas como uma forma de melhorar a qualidade de vida dos pacientes com diabetes.
O monitoramento da ingestão de alimentos pode ser facilitado através do uso de um aplicativo
móvel que reconhece automaticamente os alimentos em uma refeição. O reconhecimento automático
de imagens de alimentos é considerado uma tarefa desafiadora para a visão computacional
devido à semelhança entre os alimentos. Esse desafio aumenta quando o objetivo é classificar
alimentos de uma região específica e com um conjunto de dados contendo apenas alimentos
dessa região e, portanto, pequeno em comparação com conjuntos de dados públicos de outros
países. Para essa tarefa, este trabalho apresenta um modelo que utiliza um conjunto de Redes
Completamente Convolucionais (Fully Convolutional Network - FCNs) para gerar segmentações
dos alimentos em uma refeição. Essas segmentações são processadas por um algoritmo
que classifica os alimentos utilizando técnicas de processamento digital de imagens. O modelo
tem baixos custos de treinamento e é escalável, ou seja, pode ser treinado para reconhecer um
novo alimento sem a necessidade de re-treinar o modelo inteiro. Nos testes, foram utilizados
alimentos consumidos no Brasil, obtendo 98.2% de acurácia e 87.8% de sensibilidade
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Ajuste de funções pertinente utilizando algoritmos genéticos
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Discretização de atributos contínuos em sistemas de informação utilizando algoritmos genéticos para a aplicação da Teoria de Conjuntos Aproximados.
Full text linkA Teoria dos Conjuntos Aproximados (TCA) trata, basicamente, da extração de conhecimento em bases de dados e torna possível a elaboração de modelos que auxiliem na tomada de decisões. O problema é que essas bases de dados muitas vezes possuem atributos contínuos sendo necessária a discretização desses antes da aplicação das técnicas da TCA. Os métodos clássicos realizam discretizações sem considerar a relação entre os atributos. Isso pode impedir a discretização consistente dificultando a identificação de informações supérfluas e impossibilitando a redução do volume de informações, como também pode inibir a obtenção de regras. Este trabalho apresenta um método de discretização de atributos contínuos utilizando Algoritmos Genéticos (AG). Os AG´s são utilizados para determinar os pontos de corte de cada atributo e obter uma discretização consistente. Nenhum método determinístico é utilizado para gerar pontos de corte para a população inicial, bem como qualquer outro tipo de préprocessamento do Sistema de Informação não discretizado. A população inicial é gerada aleatoriamente e, após gerações, evolui para soluções válidas. Os resultados obtidos mostram a efetividade do método de discretização proposto na aplicação das técnicas da TCA quando comparados com outros métodos de discretização
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