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Ekaterina Vladislavleva
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2010 – 2019
- 2015
- [c9]Sean Stijven, Ekaterina Vladislavleva, Arthur K. Kordon, Lander Willem, Mark E. Kotanchek:
Prime-Time: Symbolic Regression Takes Its Place in the Real World. GPTP 2015: 241-260 - [p1]Ekaterina Vladislavleva, Guido Smits, Mark E. Kotanchek:
Computational Intelligence in Industrial Applications. Handbook of Computational Intelligence 2015: 1143-1157 - 2014
- [j6]Lander Willem
, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels
, Niel Hens
:
Active Learning to Understand Infectious Disease Models and Improve Policy Making. PLoS Comput. Biol. 10(4) (2014) - 2013
- [j5]Nicolas Staelens, Dirk Deschrijver
, Ekaterina Vladislavleva, Brecht Vermeulen, Tom Dhaene, Piet Demeester:
Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression. IEEE Trans. Circuits Syst. Video Technol. 23(8): 1322-1333 (2013) - [c8]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 - [c7]Sean Stijven, Ruben Van den Bossche, Ekaterina Vladislavleva, Kurt Vanmechelen, Jan Broeckhove, Mark E. Kotanchek:
Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models. GPTP 2013: 47-63 - 2012
- [j4]Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly:
Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization. Genet. Program. Evolvable Mach. 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) - [c6]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. Evol. Comput. 14(2): 252-277 (2010) - [c5]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 - [c4]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 - [c3]Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly:
Evolutionary optimization of flavors. GECCO 2010: 1291-1298 - [c2]Kalyan Veeramachaneni, Katya Vladislavleva, Una-May O'Reilly:
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression. LION 2010: 251-265
2000 – 2009
- 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. Evol. Comput. 13(2): 333-349 (2009) - 2006
- [c1]Guido Smits, Ekaterina Vladislavleva:
Ordinal Pareto Genetic Programming. IEEE Congress on Evolutionary Computation 2006: 3114-3120
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