Ekaterina (Katya) Vladislavleva
Ekaterina (Katya) Vladislavleva
Chief Data Scientist
Verified email at evolved-analytics.com
TitleCited byYear
Order of nonlinearity as a complexity measure for models generated by symbolic regression via pareto genetic programming
EJ Vladislavleva, GF Smits, D Den Hertog
IEEE Transactions on Evolutionary Computation 13 (2), 333-349, 2008
2202008
Variable selection in industrial datasets using pareto genetic programming
G Smits, A Kordon, K Vladislavleva, E Jordaan, M Kotanchek
Genetic Programming Theory and Practice III, 79-92, 2006
592006
Model-based problem solving through symbolic regression via pareto genetic programming
EY Vladislavleva
CentER, Tilburg University, 2008
572008
Constructing a no-reference H. 264/AVC bitstream-based video quality metric using genetic programming-based symbolic regression
N Staelens, D Deschrijver, E Vladislavleva, B Vermeulen, T Dhaene, ...
IEEE Transactions on Circuits and Systems for Video Technology 23 (8), 1322-1333, 2013
532013
Predicting the energy output of wind farms based on weather data: Important variables and their correlation
E Vladislavleva, T Friedrich, F Neumann, M Wagner
Renewable energy 50, 236-243, 2013
492013
Trustable symbolic regression models: using ensembles, interval arithmetic and pareto fronts to develop robust and trust-aware models
M Kotanchek, G Smits, E Vladislavleva
Genetic programming theory and practice V, 201-220, 2008
442008
Pursuing the Pareto paradigm: tournaments, algorithm variations and ordinal optimization
M Kotanchek, G Smits, E Vladislavleva
Genetic Programming Theory and Practice IV, 167-185, 2007
372007
Genetic programming theory and practice VIII
R Riolo, WP Worzel, M Kotanchek, A Kordon
Springer, 2011
33*2011
Ordinal pareto genetic programming
G Smits, E Vladislavleva
2006 IEEE International Conference on Evolutionary Computation, 3114-3120, 2006
272006
Symbolic regression via genetic programming as a discovery engine: Insights on outliers and prototypes
ME Kotanchek, EY Vladislavleva, GF Smits
Genetic Programming Theory and Practice VII, 55-72, 2010
262010
On the importance of data balancing for symbolic regression
E Vladislavleva, G Smits, D Den Hertog
IEEE Transactions on Evolutionary Computation 14 (2), 252-277, 2009
252009
Towards practical autoconstructive evolution: Self-evolution of problem-solving genetic programming systems
L Spector
Genetic programming theory and practice VIII, 17-33, 2011
242011
Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression
S Stijven, W Minnebo, K Vladislavleva
Proceedings of the 13th annual conference companion on Genetic and …, 2011
232011
Active Learning to Understand Infectious Disease Models and Improve Policy Making
L Willem, S Stijven, E Vladislavleva, J Broeckhove, P Beutels, N Hens
PLOS Computational Biology, 2014
162014
Genetic Programming Theory and Practice IX
JH Moore, R Riolo, E Vladislavleva
Springer, 2011
16*2011
Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization
K Veeramachaneni, E Vladislavleva, UM O’Reilly
Genetic Programming and Evolvable Machines 13 (1), 103-133, 2012
142012
Evolutionary optimization of flavors
K Veeramachaneni, K Vladislavleva, M Burland, J Parcon, UM O'Reilly
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
142010
Trustable symoblic regression models
M Kotanchek, G Smits, E Vladislavleva
Genetic Programming Theory and Practice V, Genetic and Evolutionary …, 2007
132007
Scalable symbolic regression by continuous evolution with very small populations
GF Smits, E Vladislavleva, ME Kotanchek
Genetic Programming Theory and Practice VIII, 147-160, 2011
122011
Knowledge mining with genetic programming methods for variable selection in flavor design
K Vladislavleva, K Veeramachaneni, M Burland, J Parcon, UM O'Reilly
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
122010
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