Eduardo Nunes Borges

Eduardo Nunes Borges
Universidade Federal do Rio Grande (FURG) | FURG · Center for Computer Science - C ³

PhD

About

70
Publications
8,428
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256
Citations
Citations since 2016
56 Research Items
231 Citations
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2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080

Publications

Publications (70)
Chapter
Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality of such systems. Precisely, it was applied to the Fuzzy Reasoning Method (FRM) to aggregate the fired fuzzy rules when classify...
Chapter
Recently, several theoretical and applied studies on grouping functions and overlap functions appeared in the literature, mainly because of their flexibility when comparing them with the popular aggregation operators t-conorms and t-norms, respectively. Additionally, they constitute richer classes of disjunction/conjunction operations than t-norms...
Chapter
Optimized decisions is required by businesses (analysts) if they want to stay open. Even thought some of these are from the know-how of the managers/executives, most of them can be described mathematically and solved (semi)-optimally by computers. The Group Modular Choquet Random Technique for Order of Preference by Similarity to Ideal Solution (GM...
Conference Paper
The core point of the research process are data. They are records from scientific investigation, which support the results published in journals and conferences. Making research data available in open access digital repositories has many advantages, such as increasing the visibility of associated publications, reproducing experiments, and validatin...
Chapter
An effective way to cope with classification problems, among others, is by using Fuzzy Rule-Based Classification Systems (FRBCSs). These systems are composed by two main components, the Knowledge Base (KB) and the Fuzzy Reasoning Method (FRM). The FRM is responsible for performing the classification of new examples based on the information stored i...
Conference Paper
Stock markets are responsible for the movement of huge amounts of financial resources around the world. This market generates a high volume of transaction data, which after being analyzed are very useful for many applications. In this paper we present BovDB, a data set that was built considering as source the Brazilian Stock Exchange (B3) with info...
Conference Paper
Full-text available
O sistema consiste de um repositório online, um aplicativo móvel e um servidor de aplicação Web. Utilizando o repositório, usuários de diferentes instituições poderão fazer upload de novas marcas, consultar e colher metadados de marcas já disponíveis.
Conference Paper
Full-text available
This paper aims to present a system for storing and recognizing pro-venance marks in rare works composed of an online data repository, a mobile app and a web application server for image processing. A comparison is made between the SIFT and ORB characteristic detection algorithms in order to recognize a set of ex-libris marks. Este artigo tem por...
Conference Paper
Full-text available
Digital repository; Provenance marks; Images recognition; Repositório digital; Marcas de proveniência; Reconhecimento de imagens.
Article
Identifying the profile of risky behaviors among drivers is central to propose effective interventions. Due to the multidimensional and overlapping aspects of risky driving behaviors, cluster analysis can provide additional insights in order to identify specific subgroups of risk. This study aimed to identify clusters of driving risk behavior (DRB)...
Conference Paper
Full-text available
Brazil has the third-largest prison population globally, and it has been growing steadily for more than two decades. Constant growth and low jail investment generated significant problems, such as overcrowding and widespread diseases. This study proposes the construction of a Random Forest classifier to predict the occurrence of deaths in prisons....
Conference Paper
Full-text available
Prever a demanda por energia elétrica é tarefa essencial para estratégia econômica da nação, sendo de extrema necessidade ocorrer um balanceamento adequado entre geração de distribuição. Neste contexto, este trabalho realizou a previsão da demanda de energia elétrica na Região Sul do Brasil utilizando modelagem da série temporal de dados de consumo...
Chapter
An efficient way to deal with classification problems is by using Fuzzy Rule-Based Classification Systems. A key point in this kind of classifier is the Fuzzy Reasoning Method (FRM). This mechanism is responsible for performing the classification of examples into predefined classes. There are different generalizations of the Choquet integral in the...
Chapter
An effective way to deal with classification problems, among other approaches, is using Fuzzy Rule-Based Classification Systems (FRBCSs). These classification systems are mainly composed of two modules, the Knowledge Base (KB) and the Fuzzy Reasoning Method (FRM). The KB is responsible for storing information related to the problem, while the FRM p...
Presentation
Full-text available
Apresentação na 11ª Conferência Luso-Brasileira de Ciência Aberta - ConfOA, 06/10/2020, on-line. A gravação da apresentação está disponível em https://www.youtube.com/watch?v=OnRqTjmilc8&t=17s (localização: 40-48min.)
Presentation
Participação na Live Primavera de Ex-Libris, no canal do Youtube da Caçadora de Ex-Libris: https://www.youtube.com/watch?v=IKcDSQ7GaMc
Chapter
Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a richer class of operators whenever one compares with other classes of aggregation functions, such as t-norms and t-conorms, respect...
Article
Full-text available
Background Suicide is a severe health problem, with high rates in individuals with addiction. Considering the lack of studies exploring suicide predictors in this population, we aimed to investigate factors associated with attempted suicide in inpatients diagnosed with cocaine use disorder using two analytical approaches. Methods This is a cross-s...
Chapter
Academic genealogy investigates the relationships between student researchers and advisors and has been used as a resource to analyze the spread of scientific knowledge. This work presents the development of a system that creates academic genealogy trees of researchers from the Brazilian library of theses and dissertations. The proposed system allo...
Article
Full-text available
This work aims to present a System of Storage and Recognition of Provenance Marks. Such a system consists of an online data repository, a mobile application (app) and a web application server for image processing. For the construction of the theoretical contribution, a bibliographic and documentary review was used. The repository will make it possi...
Article
Full-text available
ABSTRACT This article presents an exploratory analysis of the practices and perceptions regarding open access to research data based on information collected by a survey with Brazilian researchers. The 4,676 responses show that, despite the great interest in the topic, evidenced by the prevalence of variables related to data sharing and use and to...
Conference Paper
Full-text available
Tecnologias para a identificação, registro e reconhecimento de marcas de propriedade em acervos bibliográficos
Chapter
Full-text available
The data volume expansion has generated the need to develop efficient knowledge extraction techniques. Most problems that are processed by these techniques have complex information to be identified and use different machine learning methods, such as Convolutional and Deep Learning Network. These networks may use a variety of aggregation functions t...
Article
Full-text available
O crescente aumento do volume de dados, juntamente com a alta complexidade destes, tem gerado a necessidade de se desenvolver técnicas de extração de conhecimento cada vez mais eficientes, tanto em custo computacional quanto em precisão. A maioria dos problemas que são tratados por esses técnicas tem informações complexas a serem identificadas. Par...
Chapter
Full-text available
This paper aims to introduce the proposal of replacing the usual pooling functions by the Choquet integral in Deep Learning Networks. The Choquet integral is an aggregation function studied and applied in several areas, as, e.g., in classification problems. Its importance is related to the fact that it considers the relationship between the data to...
Article
Full-text available
Mineração de Dados é um processo de extração de informação implícita, previamente desconhecida e potencialmente útil de bases de dados. O resultado da extração é conhecimento que pode ser analisado para planejamentos futuros e para maior entendimento de um processo. Neste artigo, foi analisada uma base de dados de estudantes do curso de Engenharia...
Article
Full-text available
Avicultura é um importante setor da economia brasileira, representando 1.5% do PIB brasileiro, bem como, cinco milhões de empregos diretos e indiretos. Destaca-se também a privilegiada posição brasileira no cenário mundial, estando entre os três primeiros do mundo, quando trata-se da produção e consumo da ave, e em primeiro lugar quando refere-se a...
Article
The aim of this paper is to propose a consensus method via penalty functions for decision making in ensembles of fuzzy rule-based classification systems (FRBCSs). For that, we first introduce a method based on overlap indices for building confidence and support measures, which are usually used to evaluate the degree of certainty or interest of a ce...
Conference Paper
Neste artigo são identificadas fragilidades na governança de TI em empresas de todo o Brasil que possuem os seus principais processos de negócio apoiados no setor de TI, ou que são provedores diretos de serviços de TI. Itens específicos foram levados em conta a fim de medir o nível de governança dessa empresas. Com base nas melhores práticas da ITI...
Conference Paper
Full-text available
The increase of the Internet access and the popularity of mobile devices have influenced the consumption of radio/TV programs on the Web. An alternative for customiza-tion programming is the use of recommendation systems to adapt the content transmitted based on the preference of the listeners. The behavior of users accessing content on the Web is...
Conference Paper
Measuring the quality of data partitions is essential to the success of clustering applications. A lot of different validity indices have been proposed in the literature, but choosing the appropriate index for evaluating the results of a particular clustering algorithm remains a challenge. Clustering results can be evaluated using different indices...
Conference Paper
Informações redundantes e muitas vezes incompletas reduzem consideravelmente a produtividade oferecida pelos dispositivos móveis. Este artigo apresenta um método que identifica contatos duplicados, ou seja, registros que representam a mesma pessoa ou organização, coletados automaticamente de múltiplas fontes de dados. Os contatos são comparados uti...
Conference Paper
Validation of clustering results is an important issue in the context of machine learning research and it is essential for the success of clustering applications. Choosing the appropriate validation index for evaluating the results of a particular clustering algorithm remains a challenge. The quality of partitions generated by different clustering...
Article
Full-text available
div> Em estudos oceanográficos é comum o uso de diferentes bases de dados visando correlacionar estruturas comuns que evidenciem ou comprovem determinado aspecto. Tal como dados oceanográficos e meteorológicos provenientes de satélites, boias, entre outros, disponibilizados publicamente por órgãos internacionais de pesquisa. O intuito deste trabalh...
Article
Full-text available
Com a grande quantidade de dados gerados por sistemas de informação, utilizados em diversas áreas organizacionais, a necessidade de explorar esses dados torna-se evidente, com o objetivo de transformá-los em conhecimento interessante. O objetivo deste artigo é descrever, passo a passo, a aplicação de um processo de descoberta de conhecimento em ban...
Conference Paper
This paper presents ARGOsearch, an information retrieval system which improves the search quality in library management systems. We have proposed a general and extensible architecture for ARGOsearch based on relevance criteria that sorts the user query results considering text similarity and context information such as statistical data and the user...
Conference Paper
References are the main descriptive metadata used by digital libraries of scientific articles. These references can be represented by several formats and styles. Although considerable content variations can also occur in some metadata fields such as title, author names and publication venue. Duplicate records influence the quality of digital librar...
Article
Digital libraries of scientific articles contain collections of digital objects that are usually described by bibliographic metadata records. These records can be acquired from different sources and be represented using several metadata standards. These metadata standards may be heterogeneous in both, content and structure. All of this implies that...
Conference Paper
Full-text available
Digital libraries of scientific articles describe them using a set of metadata, including bibliographic references. These references can be represented by several formats and styles. Considerable content variations can occur in some metadata fields such as title, author names and publication venue. Besides, it is quite common to find references tha...
Conference Paper
Full-text available
Digital libraries contain collections of digital objects, acquired from different sources, which can be represented through several metadata standards. These metadata are heterogeneous both in content and in structure. This paper presents an approach that identifies duplicated metadata records referring to objects from digital libraries. We propose...
Article
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Taking into consideration the need of searching for information in an intelligent way, approach queries have been very used in the range of the databases. Search algorithms based in distance metrics among words are applied in the databases that need this type of query. The focus of this study is to facilitate the use of these algorithms in commerci...
Article
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Currently, the commercial database management systems (DBMS) do not support approximate queries directly. There is a need for technologies on DBMS to support this type of queries. This paper presents a tool which was developed to attach some functionality to the PostgreSQL DBMS. A similarity open source module named PgSimilar was developed to imple...
Article
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Resumo. O Banco de Dados Meteorológicos da Universidade Federal do Rio Grande é composto por diversas coleções de dados que podem ser acessadas através de um conjunto de aplicações computacionais. Além da visualização dos dados por meio da Internet, estas aplicações permitem que os dados meteorológicos sejam atualizados de forma semiautomática e qu...
Article
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This paper describes a system that extracts the scientific production of a set of researchers from their Lattes curriculums, analyzes the data searching for replicated references, and generates a graphical visualization of the colla-boration networks among the researchers. You can view the list of publications in common to any two researchers and e...
Article
Full-text available
This paper describes the development style called Test Driven Development (TDD). The origin, definition of the method, and some related research that is being currently carried through are boarded. The benefits of this boarding in terms of the implementation total time, final code quality and maintainability are presented. Finally, test scripts are...
Article
Full-text available
In distributed information systems it is possible to find multiple representations of the same resource. For instance, a scientific paper indexed by several digital libraries. Aiming to eliminate redundant query results, this work presents a mechanism to detect, represent and query versions of XML objects from different digital libraries. We have d...

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