Development of temporal genomic selection models via Bayesian Networks applied to ...
Bayesian inference of fundamental Be Star parameters by means of spectroscopic obs...
Implementation of a convolutional layer using approximate multipliers in FPGA for ...
New sampling methods and statistical tools for biodiversity research: integrating ...
An approximate Bayesian computation-based approach to tackle the lack of isolation...
Learning of Tractable Probabilistic Models with Application to Multilabel Classifi...
A new bivariate survival model: modeling, inference and influence analysis