Marcos L. P. Bueno

PhD candidate


Institute for Computing and Information Sciences

Radboud University Nijmegen, the Netherlands


Bio
Publications
Software
Contact


Bio

I hold B.Sc. and M.Sc. degrees in computer science from the Federal University of Goiás and Federal University of Uberlândia, Brazil, in 2007 and 2010 respectively.
Currently, I am a PhD candidate at the computer science department of the Radboud University Nijmegen, the Netherlands.

My current resarch focuses mainly on artificial intelligence and machine learning, including topics as:

[Home]


Publications

DBLP

[Home]


Software

Simulating PDBNs

Source code in R for simulating data from PDBNs (partitioned dynamic Bayesian networks).
PDBNs are probabilistic graphical models that extend dynamic Bayesian networks (DBNs) for modelling multiple distribution regimes over time (i.e. non-homogeneous distributions). For more details, please refer to the paper:

Understanding disease processes by partitioned dynamic Bayesian networks.
Journal of Biomedical Informatics, In Press, 2016. [pdf]


Download the code here.

The R code for learning PDBNs is available upon request.

[Home]


Contact

Faculty of Science
University of Nijmegen
Postbus 9010
6500GL Nijmegen
The Netherlands
Email:mbueno at cs.ru.nl

[Home]

Last update: May 15, 2016