Ekaterina Vladislavleva

According to our database, Ekaterina Vladislavleva authored at least 17 papers between 2006 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2015

Computational Intelligence in Industrial Applications.

Ekaterina Vladislavleva, Guido Smits, Mark E. Kotanchek

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Prime-Time: Symbolic Regression Takes Its Place in the Real World.

Sean Stijven, Ekaterina Vladislavleva, Arthur K. Kordon, Lander Willem, Mark E. Kotanchek

Proceedings of the Genetic Programming Theory and Practice XIII [GPTP 2015]., 2015

2014

Active Learning to Understand Infectious Disease Models and Improve Policy Making.

Lander Willem, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels, Niel Hens

PLoS Comput. Biol., 2014

2013

Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression.

Nicolas Staelens, Dirk Deschrijver, Ekaterina Vladislavleva, Brecht Vermeulen, Tom Dhaene, Piet Demeester

IEEE Trans. Circuits Syst. Video Technol., 2013

Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models.

Sean Stijven, Ruben Van den Bossche, Ekaterina Vladislavleva, Kurt Vanmechelen, Jan Broeckhove, Mark E. Kotanchek

Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data.

Oliver Flasch, Martina Friese, Katya Vladislavleva, Thomas Bartz-Beielstein, Olaf Mersmann, Boris Naujoks, Jörg Stork, Martin Zaefferer

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

2012

Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization.

Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly

Genet. Program. Evolvable Mach., 2012

2011

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation

Katya Vladislavleva, Tobias Friedrich, Frank Neumann, Markus Wagner

CoRR, 2011

Feature extraction from optimization samples via ensemble based symbolic regression.

Kalyan Veeramachaneni, Ekaterina Vladislavleva, Una-May O'Reilly

Ann. Math. Artif. Intell., 2011

Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression.

Sean Stijven, Wouter Minnebo, Katya Vladislavleva

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

On the Importance of Data Balancing for Symbolic Regression.

Ekaterina Vladislavleva, Guido Smits, Dick den Hertog

IEEE Trans. Evol. Comput., 2010

Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression.

Kalyan Veeramachaneni, Katya Vladislavleva, Una-May O'Reilly

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Knowledge mining with genetic programming methods for variable selection in flavor design.

Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolutionary optimization of flavors.

Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data.

Katya Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon

Proceedings of the Genetic Programming, 13th European Conference, 2010

2009

Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming.

Ekaterina Vladislavleva, Guido Smits, Dick den Hertog

IEEE Trans. Evol. Comput., 2009

2006

Ordinal Pareto Genetic Programming.

Guido Smits, Ekaterina Vladislavleva

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006