Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Paulo Junior Varela"'
Publikováno v:
IEEE Latin America Transactions. 18:729-735
In this paper we presented a computational approach to authorship attribution in a multilingual environment, based on latin languages. Initially, we defined the databases of literary texts, written by consecrated authors of Portuguese, Spanish and Fr
Publikováno v:
SBCARS
The current world scenario is heading to contactless technologies, where robots are in the center. These systems usually benefit from Internet of Things (IoT) sensing, being named Internet of Robotics Things (IoRT) systems. Developing IoRT software n
Linguisticun: Uma Ferramenta de Auxílio ao Ensino da Língua Portuguesa e à Linguística Computacional
Publikováno v:
Anais do XXX Simpósio Brasileiro de Informática na Educação (SBIE 2019).
Autor:
Paulo Junior Varela, Michel Albonico
Publikováno v:
CLOSER
Publikováno v:
IEEE Latin America Transactions. 14:259-266
This paper aims to insert a new approach based on syntactic features of the language, which are relating to the essential terms, integrant and accessories of a sentence, such as: subject, predicate and accessories, for the resolution of cases involvi
Publikováno v:
IJCNN
In this paper, we describe a computational approach for authorship attribution of literary texts in a multilingual environment. First, we define a set of syntactical features at text structural levels by considering the internal grammatical structure
Autor:
Rauany J. Esperandim, Paulo Junior Varela, Rosaine Fiorio, Flávio A. Silva, Francisco Reinaldo, Maici Duarte Leite
Publikováno v:
Anais do XXV Simpósio Brasileiro de Informática na Educação (SBIE 2014).
A Robotica Educativa surgiu como proposta didatica com o intuito de explorar conceitos presentes no curriculo escolar, com o objetivo de tornar a aprendizagem mais atrativa. As atividades foram desenvolvidas em escolas participantes do Programa Insti
Publikováno v:
IJCNN
In this work we present a methodology to select syntactic attributes for authorship attribution. The approach takes into account a multi-objective genetic algorithm and a Support Vector Machine classifier and it operates in a wrapper mode. Through a