Ekaterina Vladislavleva

According to our database1, Ekaterina Vladislavleva authored at least 16 papers between 2006 and 2015.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


Computational Intelligence in Industrial Applications.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Active Learning to Understand Infectious Disease Models and Improve Policy Making.
PLoS Comput. Biol., 2014

Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression.
IEEE Trans. Circuits Syst. Video Technol., 2013

Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization.
Genet. Program. Evolvable Mach., 2012

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation
CoRR, 2011

Feature extraction from optimization samples via ensemble based symbolic regression.
Ann. Math. Artif. Intell., 2011

Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

On the Importance of Data Balancing for Symbolic Regression.
IEEE Trans. Evol. Comput., 2010

Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Knowledge mining with genetic programming methods for variable selection in flavor design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolutionary optimization of flavors.
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.
Proceedings of the Genetic Programming, 13th European Conference, 2010

Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming.
IEEE Trans. Evol. Comput., 2009

Ordinal Pareto Genetic Programming.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006