Evaluating Feature Selection for SVMs in High Dimensions. - Roland Nilsson; José M. Peña 001; Johan Björkegren; Jesper Tegnér (ECML, 2006)

Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. - José M. Peña 001; Roland Nilsson; Johan Björkegren; Jesper Tegnér (Probabilistic Graphical Models, 2006)

Identifying the Relevant Nodes Without Learning the Model. - José M. Peña 001; Roland Nilsson; Johan Björkegren; Jesper Tegnér (UAI, 2006)

Detecting multivariate differentially expressed genes. - Roland Nilsson; José M. Peña 001; Johan Björkegren; Jesper Tegnér (BMC Bioinform., 2007)

Towards scalable and data efficient learning of Markov boundaries. - José M. Peña 001; Roland Nilsson; Johan Björkegren; Jesper Tegnér (Int. J. Approx. Reason., 2007)

Consistent Feature Selection for Pattern Recognition in Polynomial Time. - Roland Nilsson; José M. Peña 001; Johan Björkegren; Jesper Tegnér (J. Mach. Learn. Res., 2007)

Statistical Feature Selection : With Applications in Life Science. - Roland Nilsson (2007)

On reliable discovery of molecular signatures. - Roland Nilsson; Johan Björkegren; Jesper Tegnér (BMC Bioinform., 2009)

An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. - José M. Peña 001; Roland Nilsson; Johan Björkegren; Jesper Tegnér (J. Mach. Learn. Res., 2009)

On the Complexity of Discrete Feature Selection for Optimal Classification. - José M. Peña 001; Roland Nilsson (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Validation-based model selection for 13C metabolic flux analysis with uncertain measurement errors. - Nicolas Sundqvist; Nina Grankvist; Jeramie Watrous; Jain Mohit; Roland Nilsson; Gunnar Cedersund (PLoS Comput. Biol., 2022)