Genetic Programming Bibliography entries for William La Cava
up to index
Created by W.Langdon from
Matthew A Lackner,
Jason H Moore,
Ryan J Urbanowicz,
Danilo Vasconcellos Vargas,
Silvino Fernandez Alzueta,
Pablo Valledor Pellicer,
John R Woodward,
Daniel R Tauritz,
Joshua E Auerbach,
Harold de Vladar,
Mostafa M Hashim Ellabaan,
P G M Baltus,
M N Andraud,
David Robert White,
William B Langdon,
Stephen L Smith,
Robert M Patton,
John A W McCall,
Ivanoe De Falco,
Antonio Della Cioppa,
Jonathan E Fieldsend,
Genetic Programming Articles by William La Cava
Genetic Programming PhD doctoral thesis William La Cava
William G. La Cava.
Automatic Development and Adaptation of Concise Nonlinear Models for System Identification. PhD thesis,
University of Massachusetts, Amherst, USA, 2016.
Genetic Programming Conference proceedings edited by William La Cava
Genetic Programming conference papers by William La Cava
William La Cava and Sara Silva and Kourosh Danai and Lee Spector and Leonardo Vanneschi and Jason H. Moore.
A multidimensional genetic programming approach for identifying epsistatic gene interactions. In
Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors,
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 23-24, Kyoto, Japan, 2018. ACM.
William La Cava and Sara Silva and Leonardo Vanneschi and Lee Spector and Jason Moore.
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. In
Giovanni Squillero editor,
20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 158-173, Amsterdam, 2017. Springer.
William La Cava and Jason H. Moore.
Ensemble Representation Learning: An Analysis of Fitness and Survival for Wrapper-based Genetic Programming Methods. In
Proceedings of the Genetic and Evolutionary Computation Conference, pages 961-968, Berlin, Germany, 2017. ACM.
William La Cava and Jason Moore.
A General Feature Engineering Wrapper for Machine Learning Using epsilon-Lexicase Survival. In
Mauro Castelli and James McDermott and Lukas Sekanina editors,
EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 80-95, Amsterdam, 2017. Springer Verlag.
William La Cava and Lee Spector and Kourosh Danai.
Epsilon-lexicase Selection for Regression. In
Tobias Friedrich editor,
GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 741-748, Denver, USA, 2016. ACM.
William La Cava and Thomas Helmuth and Lee Spector and Kourosh Danai.
Genetic Programming with Epigenetic Local Search. In
Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1055-1062, Madrid, Spain, 2015. ACM.
William La Cava and Lee Spector.
Inheritable Epigenetics in Genetic Programming. In
Rick Riolo and William P. Worzel and Mark Kotanchek editors,
Genetic Programming Theory and Practice XII, pages 37-51, Ann Arbor, USA, 2014. Springer.
William La Cava and Lee Spector and Kourosh Danai and Matthew Lackner.
Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing. In
Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors,
GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 141-142, Vancouver, BC, Canada, 2014. ACM.
Karthik Kannappan and Lee Spector and Moshe Sipper and Thomas Helmuth and William La Cava and Jake Wisdom and Omri Bernstein.
Analyzing a Decade of Human-Competitive (``HUMIE'') Winners: What Can We Learn?. In
Rick Riolo and William P. Worzel and Mark Kotanchek editors,
Genetic Programming Theory and Practice XII, pages 149-166, Ann Arbor, USA, 2014. Springer.