Genetic Programming Bibliography entries for Ekaterina (Katya) Vladislavleva

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GP coauthors/coeditors: Jaume Bacardit, Ivan T Tanev, Joern Mehnen, Thomas Bartz-Beielstein, Lawrence David Davis, Carlos Artemio Coello Coello, Dara Curran, Thomas Jansen, Daniele Loiacono, Albert Orriols-Puig, Ryan J Urbanowicz, Simon Harding, William B Langdon, Man Leung Wong, Garnett Carl Wilson, Tony Lewis, Stephen L Smith, Stefano Cagnoni, Robert Patton, William Michael Rand, Forrest Stonedahl, Gisele L Pappa, Alex Alves Freitas, Jerry Swan, John R Woodward, Maria J Blesa, Christian Blum, Steven M Gustafson, Mark W Hauschild, Martin Pelikan, Ender Ozcan, Andrew J Parkes, Jonathan E Rowe, Pascal Bouvry, Samee U Khan, Gregoire Danoy, Alexandru-Adrian Tantar, Emilia Tantar, Bernabe Dorronsoro, Miguel Nicolau, L Darrell Whitley, Mark Kotanchek, Guido F Smits, Trent McConaghy, Rick L Riolo, Jason H Moore, Arthur K Kordon, Elsa Jordaan, Sean Stijven, Wouter Minnebo, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly, Dick den Hertog,

Genetic Programming Articles by Ekaterina (Katya) Vladislavleva

• Kalyan Veeramachaneni and Ekaterina Vladislavleva and 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. Special Section on Evolutionary Algorithms for Data Mining. details

• Ekaterina Vladislavleva and Guido Smits and Dick den Hertog. On the Importance of Data Balancing for Symbolic Regression. IEEE Transactions on Evolutionary Computation, 14(2):252-277, 2010. details

• Ekaterina J. Vladislavleva and Guido F. Smits and Dick den Hertog. Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming. IEEE Transactions on Evolutionary Computation, 13(2):333-349, 2009. details

Genetic Programming PhD doctoral thesis Ekaterina (Katya) Vladislavleva

• Ekaterina Vladislavleva. Model-based Problem Solving through Symbolic Regression via Pareto Genetic Programming. PhD thesis, Tilburg University, Tilburg, the Netherlands, 2008. details

Genetic Programming Conference proceedings edited by Ekaterina (Katya) Vladislavleva

• Rick Riolo and Ekaterina Vladislavleva and Jason H. Moore editors, Genetic Programming Theory and Practice IX. Ann Arbor, USA, Springer, 2011. details

• Jaume Bacardit and Ivan Tanev and Joern Mehnen and Thomas Bartz-Beielstein and David Davis and Carlos Artemio Coello Coello and Dara Curran and Thomas Jansen and Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz and Simon Harding and W. B. Langdon and Man Leung Wong and Garnett Wilson and Tony Lewis and Stephen L. Smith and Stefano Cagnoni and Robert Patton and William Rand and Forrest Stonedahl and Gisele L. Pappa and Alex A. Freitas and Jerry Swan and John Woodward and Maria J. Blesa and Christian Blum and Steven Gustafson and Ekaterina Vladislavleva and Mark Hauschild and Martin Pelikan and Ender Ozcan and Andrew J. Parkes and Jonathan Rowe and Pascal Bouvry and Samee U. Khan and Gregoire Danoy and Alexandru-Adrian Tantar and Emilia Tantar and Bernabe Dorronsoro and Miguel Nicolau and Darrell Whitley editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. Dublin, Ireland, 2011. details

• Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII. Ann Arbor, USA, Springer, 2010. details

Genetic Programming conference papers by Ekaterina (Katya) Vladislavleva

1. Sean Stijven and Wouter Minnebo and Katya Vladislavleva. Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regression. In Steven Gustafson and Ekaterina Vladislavleva editors, 3rd symbolic regression and modeling workshop for GECCO 2011, pages 623-630, Dublin, Ireland, 2011. ACM. details

2. Katya Vladislavleva and Kalyan Veeramachaneni and Matt Burland and Jason Parcon and Una-May O'Reilly. Knowledge mining with genetic programming methods for variable selection in flavor design. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 941-948, Portland, Oregon, USA, 2010. ACM. details

3. Katya Vladislavleva and Kalyan Veeramachaneni and Una-May O'Reilly. Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 244-255, Istanbul, 2010. Springer. details

4. Kalyan Veeramachaneni and Katya Vladislavleva and Matt Burland and Jason Parcon and Una-May O'Reilly. Evolutionary optimization of flavors. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 1291-1298, Portland, Oregon, USA, 2010. ACM. details

5. G. Smits and E. Vladislavleva. Ordinal Pareto Genetic Programming. In Gary G. Yen and Simon M. Lucas and Gary Fogel and Graham Kendall and Ralf Salomon and Byoung-Tak Zhang and Carlos A. Coello Coello and Thomas Philip Runarsson editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 3114-3120, Vancouver, BC, Canada, 2006. IEEE Press. details

Genetic Programming book chapters by Ekaterina (Katya) Vladislavleva

1. Guido F. Smits and Ekaterina Vladislavleva and Mark E. Kotanchek. Scalable Symbolic Regression by Continuous Evolution with Very Small Populations. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 9, pages 147-160. Springer, Ann Arbor, USA, 2010. details

2. Trent McConaghy and Ekaterina Vladislavleva and Rick Riolo. Genetic Programming Theory and Practice 2010: An Introduction. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, pages xvii-xxviii. Springer, Ann Arbor, USA, 2010. details

3. Mark E. Kotanchek and Ekaterina Y. Vladislavleva and Guido F. Smits. Symbolic Regression via GP as a Discovery Engine: Insights on Outliers and Prototypes. In Rick L. Riolo and Una-May O'Reilly and Trent McConaghy editors, Genetic Programming Theory and Practice VII, chapter 4, pages 55-72. Springer, Ann Arbor, 2009. details

4. Mark Kotanchek and Guido Smits and Ekaterina Vladislavleva. Exploiting Trustable Models via Pareto GP for Targeted Data Collection. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 10, pages 145-163. Springer, Ann Arbor, 2008. details

5. Ekaterina Vladislavleva and Guido Smits and Mark Kotanchek. Better Solutions Faster: Soft Evolution of Robust Regression Models In Pareto genetic programming. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 2, pages 13-32. Springer, Ann Arbor, 2007. details

6. Mark Kotanchek and Guido Smits and Ekaterina Vladislavleva. Trustable symbolic regression models: using ensembles, interval arithmetic and Pareto fronts to develop robust and trust-aware models. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 12, pages 201-220. Springer, Ann Arbor, 2007. details

7. Mark Kotanchek and Guido Smits and Ekaterina Vladislavleva. Pursuing the Pareto Paradigm Tournaments, Algorithm Variations \& Ordinal Optimization. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, chapter 12, pages 167-186. Springer, Ann Arbor, 2006. details

8. Guido Smits and Arthur Kordon and Katherine Vladislavleva and Elsa Jordaan and Mark Kotanchek. Variable Selection in Industrial Datasets using Pareto Genetic Programming. In Tina Yu and Rick L. Riolo and Bill Worzel editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 6, pages 79-92. Springer, Ann Arbor, 2005. details