Sergio Rodrigues de Morais

According to our database1, Sergio Rodrigues de Morais authored at least 14 papers between 2007 and 2013.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2013
Learning the local Bayesian network structure around the ZNF217 oncogene in breast tumours.
Comput. Biol. Medicine, 2013

2012
Analysis of nasopharyngeal carcinoma risk factors with Bayesian networks.
Artif. Intell. Medicine, 2012

2010
A novel Markov boundary based feature subset selection algorithm.
Neurocomputing, 2010

A conservative feature subset selection algorithm with missing data.
Neurocomputing, 2010

Analysis of lifestyle and metabolic predictors of visceral obesity with Bayesian Networks.
BMC Bioinform., 2010

An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009
Exploiting Data Missingness in Bayesian Network Modeling.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methods.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

Robust Gene Selection from Microarray Data with a Novel Markov Boundary Learning Method: Application to Diabetes Analysis.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
A Novel Scalable and Data Efficient Feature Subset Selection Algorithm.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Analysis of Nasopharyngeal Carcinoma Data with a Novel Bayesian Network Learning Algorithm.
Proceedings of the 2007 IEEE International Conference on Research, 2007

Application des réseaux bayésiens à l'analyse des facteurs impliqués dans le cancer du Nasopharynx.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm.
Proceedings of the Artificial Intelligence in Medicine, 2007


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