Ekaterina Vladislavleva

Katya Vladislavleva

	2013
c6		Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Jörg Stork, Martin Zaefferer: Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. EvoApplications 2013: 172-181
	2012
j4		Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly: Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization. Genetic Programming and Evolvable Machines 13(1): 103-133 (2012)
	2011
j3		Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly: Feature extraction from optimization samples via ensemble based symbolic regression. Ann. Math. Artif. Intell. 61(2): 105-123 (2011)
c5		Sean Stijven, Wouter Minnebo, Katya Vladislavleva: Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression. GECCO (Companion) 2011: 623-630
i1		Katya Vladislavleva, Tobias Friedrich, Frank Neumann, Markus Wagner: Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation. CoRR abs/1109.1922 (2011)
	2010
j2		Ekaterina Vladislavleva, Guido Smits, Dick den Hertog: On the Importance of Data Balancing for Symbolic Regression. IEEE Trans. Evolutionary Computation 14(2): 252-277 (2010)
c4		Katya Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon: Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data. EuroGP 2010: 244-255
c3		Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly: Knowledge mining with genetic programming methods for variable selection in flavor design. GECCO 2010: 941-948
c2		Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly: Evolutionary optimization of flavors. GECCO 2010: 1291-1298
c1		Kalyan Veeramachaneni, Katya Vladislavleva, Una-May O'Reilly: Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression. LION 2010: 251-265
	2009
j1		Ekaterina Vladislavleva, Guido Smits, Dick den Hertog: Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming. IEEE Trans. Evolutionary Computation 13(2): 333-349 (2009)

Coauthor Index

Colors in the list of coauthors

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