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Your search keyword '"Garcia, Ana Cristina B."' showing total 22 results
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22 results on '"Garcia, Ana Cristina B."'

5. Improving Neural Classification with Markov Chain

Author

Ferraz, Inhaúma, Garcia, Ana Cristina B., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Bandini, Stefania, editor, and Manzoni, Sara, editor

Published
2005
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20. The process of summarization in the pre-processing stage in order to improve measurement of texts when clustering.

Author

Guelpeli, Marcus V. C., Garcia, Ana Cristina B., and Branco, Antonio Horta

Abstract

This work introduces the Cassiopeia model, which allows for knowledge discovery in textual bases, used for the purposes of text mining in distinct and/or antagonistic domains. The most relevant contributions include the use of summarized texts as an entrance in pre-processing stage of clusterization, language independence with the use of stop words and the treatment of high dimensionality, a problem that is inherent to Text Mining. In the knowledge extraction, the texts are clustered and reclustered according to a similarity criterion. With the results obtained, the study hopes to show the impact of including summarization in the process of text clusterization. The experiments conducted in this study indicate that text clusterization using summaries is in fact much more effective than direct clusterization of texts in their entirety, as measured by internal and external measures traditionally employed in the field of text clusterization. Finally, the post-processing stage creates clusters of summarized texts with a high degree of informativity, a quality that is inherent to summarization. The clusters are highly esteemed with the indexed words. This fact is due to the process proposed by the Cassiopeia model, which allows for strong similarity among the clustered texts. In the future, this similarity will allow for the creation of categories based on the word indices of each cluster. [ABSTRACT FROM PUBLISHER]

Published
2011

21. Improving Neural Classification with Markov Chain.

Author

Bandini, Stefania, Manzoni, Sara, Ferraz, Inhaúma, and Garcia, Ana Cristina B.

Abstract

Neural classifiers have been successfully used to determine rock properties in offshore oil reservoirs. However, the precision of those classifiers must be improved given the great cost resulting from errors when defining the quality of an oil reservoir. This paper presents a post-processing method based on the Markov chain that improved the classifier precision rate in 6%. [ABSTRACT FROM AUTHOR]

Published
2005
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22. A collaborative working environment for small group meetings in Second Life.

Author

da Silva CR and Garcia AC

Abstract

This paper presents the SLMeetingRoom, a virtual reality online environment to support group meetings of geographically dispersed participants. A prototype was developed to demonstrate the feasibility of the approach using the Second Life platform. Ten additional components had to be added to Second Life environment to support group work essential activities such as participants' communication, tasks' and participants' coordination, participants' collaboration and work evolution's perception. Empirical studies, both pilot and experiment, were developed comparing four different meeting settings: face-to-face, videoconference, stand Second Life and SLMeetingRoom. The study involved graduate students enrolled in the Interface and Multimedia discipline at the Fluminense Federal University (UFF) in Brazil. Results indicated that groups working within SLMeetingRoom environment presented similar results as face-to-face meeting as far as sense of presence is concerned and with low cognitive effort. Task completion and degree of participation were not affected by the meeting set up. It was concluded that Second Life, in conjunction with the SLMeetingRoom components, is a good tool for holding synchronous remote meetings and coexists with other electronic meeting technologies.

Published
2013
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