Roland Nilsson

12 papers A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Validation-based model selection for 13C metabolic flux analysis with uncertain measurement errors.
PLoS Comput. Biol.
Nicolas Sundqvist, Nina Grankvist, Jeramie Watrous, Jain Mohit, Roland Nilsson, Gunnar Cedersund
2012 J jnl
Identifying the Relevant Nodes Without Learning the Model.
CoRR
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2010 J jnl
On the Complexity of Discrete Feature Selection for Optimal Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
José M. Peña, Roland Nilsson
2009 J jnl
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.
J. Mach. Learn. Res.
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2009 J jnl
On reliable discovery of molecular signatures.
BMC Bioinform.
Roland Nilsson, Johan Björkegren, Jesper Tegnér
2007 J jnl
Consistent Feature Selection for Pattern Recognition in Polynomial Time.
J. Mach. Learn. Res.
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
2007 J jnl
Detecting multivariate differentially expressed genes.
BMC Bioinform.
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
2007 — —
Statistical Feature Selection : With Applications in Life Science.
Roland Nilsson
2007 J jnl
Towards scalable and data efficient learning of Markov boundaries.
Int. J. Approx. Reason.
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2006 — conf
Evaluating Feature Selection for SVMs in High Dimensions.
ECML
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
2006 A conf
Identifying the Relevant Nodes Without Learning the Model.
UAI
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2006 — conf
Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.
Probabilistic Graphical Models
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér