 | 2007 |
|---|
| 8 |       | Roland Nilsson,
José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Detecting multivariate differentially expressed genes.
BMC Bioinformatics 8: (2007) |
| 7 | | José M. Peña,
Roland Nilsson,
Johan Björkegren,
Jesper Tegnér:
Towards scalable and data efficient learning of Markov boundaries.
Int. J. Approx. Reasoning 45(2): 211-232 (2007) |
| 2006 |
|---|
| 6 | | Roland Nilsson,
José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Evaluating Feature Selection for SVMs in High Dimensions.
ECML 2006: 719-726 |
| 5 | | José M. Peña,
Roland Nilsson,
Johan Björkegren,
Jesper Tegnér:
Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.
Probabilistic Graphical Models 2006: 247-254 |
| 4 | | José M. Peña,
Roland Nilsson,
Johan Björkegren,
Jesper Tegnér:
Identifying the Relevant Nodes Without Learning the Model.
UAI 2006 |
| 2005 |
|---|
| 3 | | José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Growing Bayesian network models of gene networks from seed genes.
ECCB/JBI 2005: 229 |
| 2 | | José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption.
ECSQARU 2005: 136-147 |
| 1 | | José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Learning dynamic Bayesian network models via cross-validation.
Pattern Recognition Letters 26(14): 2295-2308 (2005) |
