Genetic Programming Bibliography entries for Ekaterina (Katya) Vladislavleva

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GP coauthors/coeditors: Dirk V Arnold, Mengjie Zhang, Ryan J Urbanowicz, Muhammad Iqbal, Kamran Shafi, Forrest Stonedahl, William Michael Rand, Tea Tusar, Boris Naujoks, David Walker, Richard Everson, Jonathan E Fieldsend, Stefan Wagner, Michael Affenzeller, Zhun Fan, Yaochu Jin, Hod Lipson, Erik Goodman, Alexandru-Adrian Tantar, Emilia Tantar, Peter A N Bosman, Kent McClymont, Kevin Sim, Gabriela Ochoa, Ed Keedwell, Anna Esparcia-Alcazar, Frank William Moore, Jaume Bacardit, Ignacio Arnaldo Lucas, Kalyan Veeramachaneni, Una-May O'Reilly, Stephen L Smith, Stefano Cagnoni, Robert M Patton, Steven M Gustafson, John R Woodward, Jerry Swan, Earl Barr, Krzysztof Krawiec, Chris Simons, John A Clark, Dirk Sudholt, Aniko Ekart, Carola Doerr, Anne Auger, Ivan T Tanev, Jorn Mehnen, Thomas Bartz-Beielstein, Lawrence David Davis, Carlos Artemio Coello Coello, Dara Curran, Thomas Jansen, Daniele Loiacono, Albert Orriols-Puig, Simon Harding, William B Langdon, Man Leung Wong, Garnett Carl Wilson, Tony Lewis, Gisele L Pappa, Alex Alves Freitas, Maria J Blesa, Christian Blum, Mark W Hauschild, Martin Pelikan, Ender Ozcan, Andrew J Parkes, Jonathan E Rowe, Pascal Bouvry, Samee U Khan, Gregoire Danoy, Bernabe Dorronsoro, Miguel Nicolau, L Darrell Whitley, Enrique Alba, Francisco Luna Valero, Mike Preuss, Leonardo Vanneschi, Emma Hart, Bernd Bischl, Dimo Brockhoff, Nikolaus Hansen, Olaf Mersmann, Petr Posik, Heike Trautmann, Miguel Vega-Rodriguez, Jose M Chaves-Gonzalez, David L Gonzalez-Alvarez, Sergio Santander-Jimenez, Lee Spector, Maarten Keijzer, Kenneth L Holladay, Oliver Flasch, Martina Friese, Joerg Stork, Martin Zaefferer, Mark Kotanchek, Guido F Smits, Trent McConaghy, Rick L Riolo, Nikhil Padhye, Aaron Baughman, Stefan Van Der Stock, Michael Perlitz, Jonathan Jesneck, Matthew R Hyde, Alexandre Chotard, Verena Heidrich-Meisner, Stephane Doncieux, Jean-Baptiste Mouret, Francisco Fernandez de Vega, Carlos Cotta, Sherri Goings, Alison A Motsinger, Katya Rodriguez-Vazquez, Jason H Moore, Marylyn D Ritchie, Arthur K Kordon, Elsa Jordaan, Nicolas Staelens, Dirk Deschrijver, Brecht Vermeulen, Tom Dhaene, Piet Demeester, Sean Stijven, Wouter Minnebo, Ruben Van den Bossche, Kurt Vanmechelen, Jan Broeckhove, Matt Burland, Jason Parcon, Dick den Hertog, Tobias Friedrich, Frank Neumann, Markus Wagner,

Genetic Programming Articles by Ekaterina (Katya) Vladislavleva

  1. Ekaterina Vladislavleva and Tobias Friedrich and Frank Neumann and Markus Wagner. Predicting the energy output of wind farms based on weather data: Important variables and their correlation. Renewable Energy, 50:236-243, 2013. details

  2. Nicolas Staelens and Dirk Deschrijver and Ekaterina Vladislavleva and Brecht Vermeulen and Tom Dhaene and Piet Demeester. Constructing a No-Reference H.264/AVC Bitstream-based Video Quality Metric using Genetic Programming-based Symbolic Regression. IEEE Transactions on Circuits and Systems for Video Technology, 23(8):1322-1333, 2013. details

  3. 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

  4. 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

  5. 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

Genetic Programming Conference proceedings edited by Ekaterina (Katya) Vladislavleva

  1. Dirk Arnold and Mengjie Zhang and Ryan Urbanowicz and Muhammad Iqbal and Kamran Shafi and Forrest Stonedahl and William Rand and Tea Tusar and Boris Naujoks and David Walker and Richard Everson and Jonathan Fieldsend and Stefan Wagner and Michael Affenzeller and Zhun Fan and Yaochu Jin and Hod Lipson and Erik Goodman and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Kent McClymont and Kevin Sim and Gabriela Ochoa and Ed Keedwell and Anna I Esparcia-Alcazar and Frank W. Moore and Jaume Bacardit and Ignacio Arnaldo and Kalyan Veeramachaneni and Una-May O'Reilly and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Steven Gustafson and Ekaterina Vladislavleva and John Woodward and Jerry Swan and Earl Barr and Krzysztof Krawiec and Chris Simons and John Clark and Dirk Sudholt and Anna Esparcia and Aniko Ekart and Carola Doerr and Anne Auger editors, GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. Vancouver, BC, Canada, 2014. details

  2. Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. Amsterdam, The Netherlands, 2013. details

  3. Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X. Ann Arbor, USA, Springer, 2012. details

  4. Bill Rand and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Nikhil Padhye and Aaron Baughman and Stefan Van Der Stock and Michael Perlitz and Steven M. Gustafson and Jonathan Jesneck and Gisele L. Pappa and John Woodward and Matthew R. Hyde and Jerry Swan and Stefan Wagner and Michael Affenzeller and Anne Auger and Alexandre Chotard and Nikolaus Hansen and Verena Heidrich-Meisner and Olaf Mersmann and Petr Posik and Mike Preuss and Forrest Stonedahl and Rick Riolo and Stephane Doncieux and Yaochu Jin and Jean-Baptiste Mouret and Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz and Kent McClymont and Ed Keedwell and Richard Everson and Jonathan Fieldsend and David Walker and F. Fernandez de Vega and Carlos Cotta and Steven Gustafson and Ekaterina Vladislavleva and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Sherri Goings and Alison Motsinger-Reif and Katya Rodriguez and Christian Blum and Gabriela Ochoa and Jason H. Moore editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion. Philadelphia, Pennsylvania, USA, 2012. details

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

  6. 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

  7. 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 Ekaterina Vladislavleva and Arthur Kordon and Mark Kotanchek. Prime-Time: Symbolic Regression Takes its Place in Industrial Analysis. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 241-260, Ann Arbor, USA, 2015. Springer. details

  2. Oliver Flasch and Martina Friese and Katya Vladislavleva and Thomas Bartz-Beielstein and Olaf Mersmann and Boris Naujoks and Joerg Stork and Martin Zaefferer. Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data. In Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors, Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 172-181, Vienna, 2013. Springer Verlag. details

  3. Martina Friese and Oliver Flasch and Katya Vladislavleva and Thomas Bartz-Beielstein and Olaf Mersmann and Boris Naujoks and Joerg Stork and Martin Zaefferer. Ensemble-Based Model Selection for Smart Metering Data. In Eyke Huellermeier editor, Proceedings of the 22nd Workshop on Computational Intelligence, pages 215-227, Dortmund, Germany, 2012. KIT Scientific Publishing. details

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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. Sean Stijven and Ruben Bossche and Ekaterina Vladislavleva and Kurt Vanmechelen and Jan Broeckhove and Mark Kotanchek. Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 3, pages 47-63. Springer, Ann Arbor, USA, 2013. details

  2. Mark E. Kotanchek and Ekaterina Vladislavleva and Guido Smits. Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model. In Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X, chapter 13, pages 187-203. Springer, Ann Arbor, USA, 2012. details

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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, pages 167-185. Springer, Ann Arbor, 2006. details

  10. 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