Gloria Inés Alvarez

According to our database1, Gloria Inés Alvarez authored at least 14 papers between 2005 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
A Visualization and Human-Computer Interaction Proposal in the Context of Pronunciation Information.
Rev. Iberoam. de Tecnol. del Aprendiz., 2016

2015
Automatic segmentation of Potyviridae family polyproteins.
IJBRA, 2015

2014
Visualization Model for Learning of Pronunciation with an Approach from Human Computer Interaction.
Proceedings of the XV International Conference on Human Computer Interaction, 2014

2013
A Video Game Prototype for Speech Rehabilitation.
Proceedings of the 5th International Conference on Games and Virtual Worlds for Serious Applications, 2013

Machine Learning Techniques Applied to the Cleavage Site Prediction Problem.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013

2011
From regular expressions to smaller NFAs.
Theor. Comput. Sci., 2011

2010
Content Based Thermal Images Retrieval.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010

A Non-deterministic Grammar Inference Algorithm Applied to the Cleavage Site Prediction Problem in Bioinformatics.
Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

2008
Universal automata and NFA learning.
Theor. Comput. Sci., 2008

Learning Regular Languages Using Nondeterministic Finite Automata.
Proceedings of the Implementation and Applications of Automata, 2008

Learning Commutative Regular Languages.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2006
A Merging States Algorithm for Inference of RFSAs.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

2005
Is Learning RFSAs Better Than Learning DFAs?.
Proceedings of the Implementation and Application of Automata, 2005

Inference Improvement by Enlarging the Training Set While Learning DFAs.
Proceedings of the Progress in Pattern Recognition, 2005


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