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Waister Silva Martins

 

Publications by Waister Silva Martins (bibliography)

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2009
 
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Martins, Waister Silva, Goncalves, Marcos Andre, Laender, Alberto H. F. and Pappa, Gisele L. (2009): Learning to assess the quality of scientific conferences: a case study in computer science. In: JCDL09 Proceedings of the 2009 Joint International Conference on Digital Libraries 2009. pp. 193-202. Available online

Assessing the quality of scientific conferences is an important and useful service that can be provided by digital libraries and similar systems. This is specially true for fields such as Computer Science and Electric Engineering, where conference publications are crucial. However, the majority of the existing approaches for assessing the quality of publication venues has been proposed for journals. In this paper, we characterize a large number of features that can be used as criteria to assess the quality of scientific conferences and study how these several features can be automatically combined by means of machine learning techniques to effectively perform this task. Within the features studied are citations, submission and acceptance rates, tradition of the conference, and reputation of the program committee members. Among our several findings, we can cite that: (1) separating high quality conferences from medium and low quality ones can be performed quite effectively, but separating the last two types is a much harder task; and (2) citation features followed by those associated with the tradition of the conference are the most important ones for the task.

© All rights reserved Martins et al. and/or their publisher

2007
 
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Monteiro, Bruno Rabello, Filho, Jugurta Lisboa, Braga, Jos Lus and Martins, Waister Silva (2007): An Analysis Pattern for Mobile Geographic Information Systems toward Municipal Urban Administration. In: Cordeiro, Jos and Filipe, Joaquim (eds.) ICEIS 2008 - Proceedings of the Tenth International Conference on Enterprise Information Systems Volume 2 June 12-16, 2007, Barcelona, Spain. pp. 311-318.

 
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