
Rodolfo Matos
Address: Porto, Distrito do Porto, Portugal
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Papers by Rodolfo Matos
Using information-extraction methodologies from images and applying cold reading methods (S.a., n.d.-s), hot reading (S.a., n.d.-o) and reading body language (S.a., n.d.) to analyze the characters and self-portraits of some works by Aurelia de Souza, in this article we present an hypothesis of deconstruction of these same works.
The eighteen (18) conjectures obtained allow us to suggest that Aurelia de Souza uses combinations of colors and objects, such as symbols, to send hidden messages (conjecture 1). Likewise, the disposition of the characters she paints, their expression, and the place I object to which they are looking at may have certain meanings and not have been made in a random way (conjectures 2 and 4). As such, this exercise seems to reveal that the content of the works analyzed is essentially of a political nature, from which one could surmise that the author could be a republican sympathizer (conjectures 3 , 6, 7 and 8).
This paper will demonstrate some of the methods currently available, and which can be easily found, used for this purpose.
of higher education programmes. As such, teams frequently produce several deliverables throughout
a given course, and these should be properly organized and assessed.
As the deliverables submission process often occur in large numbers, any attempt to manage the
procedure too tightly is bound to make the evaluators spend a lot of time just checking, controlling and
correcting each individual submission; assessing these vast numbers of deliverables, is another
problem, which is simply too vast to tackle in this article. Nevertheless, we do use plagiarism detection
tools which offer invaluable information to evaluators. These mentioned tools are also used in an
unsuspecting way: while allowing the students to submit the deliverables in a loose way, these tools
can be used to check, and control any wrongdoing with little effort.
This article shows the details of the implementation and the lessons learned. The prototype was tested
in a course which has roughly one thousand students enrolled in, and that had effectively produced a
course-portfolio of an organized set with all deliverables in an (almost totally) automated manner.
Using information-extraction methodologies from images and applying cold reading methods (S.a., n.d.-s), hot reading (S.a., n.d.-o) and reading body language (S.a., n.d.) to analyze the characters and self-portraits of some works by Aurelia de Souza, in this article we present an hypothesis of deconstruction of these same works.
The eighteen (18) conjectures obtained allow us to suggest that Aurelia de Souza uses combinations of colors and objects, such as symbols, to send hidden messages (conjecture 1). Likewise, the disposition of the characters she paints, their expression, and the place I object to which they are looking at may have certain meanings and not have been made in a random way (conjectures 2 and 4). As such, this exercise seems to reveal that the content of the works analyzed is essentially of a political nature, from which one could surmise that the author could be a republican sympathizer (conjectures 3 , 6, 7 and 8).
This paper will demonstrate some of the methods currently available, and which can be easily found, used for this purpose.
of higher education programmes. As such, teams frequently produce several deliverables throughout
a given course, and these should be properly organized and assessed.
As the deliverables submission process often occur in large numbers, any attempt to manage the
procedure too tightly is bound to make the evaluators spend a lot of time just checking, controlling and
correcting each individual submission; assessing these vast numbers of deliverables, is another
problem, which is simply too vast to tackle in this article. Nevertheless, we do use plagiarism detection
tools which offer invaluable information to evaluators. These mentioned tools are also used in an
unsuspecting way: while allowing the students to submit the deliverables in a loose way, these tools
can be used to check, and control any wrongdoing with little effort.
This article shows the details of the implementation and the lessons learned. The prototype was tested
in a course which has roughly one thousand students enrolled in, and that had effectively produced a
course-portfolio of an organized set with all deliverables in an (almost totally) automated manner.