- Individual-based models(2015)
Auteurs: Sean Stijven, Ekaterina Vladislavleva, Philippe Beutels
Pagina's: 97 - 102
- Optimizing a cloud contract portfolio using genetic programming-based load models(2014)
Auteurs: Sean Stijven, Ruben Van den Bossche, Ekaterina Vladislavleva, Kurt Vanmechelen, M. Kotanchek
Pagina's: 1 - 17
- Active learning to understand infectious disease models and improve policy making(2014)
Auteurs: Sean Stijven, Ekaterina Vladislavleva, Philippe Beutels
- Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression(2011)
Auteurs: Sean Stijven, Wouter Minnebo, Ekaterina Vladislavleva
Pagina's: 623 - 630
- Evolutionary optimization of flavors(2010)
Auteurs: Kalyan Veeramachaneni, Ekaterina Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly
Pagina's: 1291 - 1298
- Symbolic regression as a discovery engine(2010)
Auteurs: M.E. Kotanchek, Ekaterina Vladislavleva, G.S. Smits
Aantal pagina's: 1
- Knowledge mining with genetic programming methods for variable selection in flavor design(2010)
Auteurs: Ekaterina Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly
Pagina's: 941 - 948
- On the importance of data balancing for symbolic regression(2010)
Auteurs: Ekaterina Vladislavleva, G. Smits, D. den Hertog
Pagina's: 252 - 277
- Feature extraction from optimization data via data modeler's ensemble symbolic regression(2010)
Auteurs: Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly
Pagina's: 251 - 265
- Learning a lot from only a little(2010)
Auteurs: Ekaterina Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon
Pagina's: 244 - 255