Ekaterina (Katya) Vladislavleva
Ekaterina (Katya) Vladislavleva
Chief Data Scientist
Verifierad e-postadress på evolved-analytics.com
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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
2892008
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
662013
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
632006
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
612013
Model-based problem solving through symbolic regression via pareto genetic programming
EY Vladislavleva
CentER, Tilburg University, 2008
602008
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
522008
Genetic programming theory and practice VIII
R Riolo, T McConaghy, E Vladislavleva
Springer, 2011
50*2011
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
392010
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
382007
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
362009
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
312014
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
302011
Ordinal pareto genetic programming
G Smits, E Vladislavleva
2006 IEEE International Conference on Evolutionary Computation, 3114-3120, 2006
282006
Genetic Programming Theory and Practice IX
JH Moore, R Riolo, E Vladislavleva
Springer, 2011
25*2011
Towards practical autoconstructive evolution: Self-evolution of problem-solving genetic programming systems
L Spector
Genetic programming theory and practice VIII, 17-33, 2011
242011
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
152012
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
142011
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
142007
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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Artiklar 1–20