Genetic Programming Bibliography entries for J Lanchares

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GP coauthors/coeditors: J Manuel Colmenar, Jose L Risco-Martin, David Atienza Alonso, Oscar Garnica, Jose Ignacio Hidalgo Perez, Ivan Contreras, Almudena Sanchez, Jose Manuel Velasco Cabo, Sergio Contador, Josefa Diaz Alvarez, Francisco Fernandez de Vega, Juan Manuel Sanchez Perez, Esther Maqueda, Marta Botella, Jose Antonio Rubio, Alfredo Cuesta-Infante, Gabriel Kronberger, Stephan M Winkler, Aitor Ibarra, J Mendias, Roman Hermida Correa,

Genetic Programming Articles by J Lanchares

  1. Jose Manuel Velasco and Oscar Garnica and Juan Lanchares and Marta Botella and J. Ignacio Hidalgo. Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting. Memetic Computing, 10(3) 2018. details

  2. J. Ignacio Hidalgo and J. Manuel Colmenar and Gabriel Kronberger and Stephan M. Winkler and Oscar Garnica and Juan Lanchares. Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods. Journal of Medical Systems, 41(9):142, 2017. Special issue on Patient Facing Systems. details

  3. Josefa Diaz Alvarez and J. Manuel Colmenar and Jose L. Risco-Martin and Juan Lanchares and Oscar Garnica. Optimizing L1 cache for embedded systems through grammatical evolution. Soft Computing, 20(6):2451-2465, 2016. details

  4. Jose L. Risco-Martin and J. Manuel Colmenar and J. Ignacio Hidalgo and Juan Lanchares and Josefa Diaz. A methodology to automatically optimize dynamic memory managers applying grammatical evolution. Journal of Systems and Software, 91:109-123, 2014. details

  5. Francisco Fernandez de Vega and J. I. Hidalgo and J. Lanchares and J. M. Sanchez. A methodology for reconfigurable hardware design based upon evolutionary computation. Microprocessors and Microsystems, 28(7):363-371, 2004. details

Genetic Programming conference papers by J Lanchares

  1. Sergio Contador and J. Ignacio Hidalgo and Oscar Garnica and J. Manuel Velasco and Juan Lanchares. Can clustering improve glucose forecasting with genetic programming models?. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1829-1836, Prague, Czech Republic, 2019. ACM. details

  2. Jose Manuel Velasco and Oscar Garnica and Sergio Contador and Juan Lanchares and Esther Maqueda and Marta Botella and J. Ignacio Hidalgo. Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 2193-2200, Donostia, San Sebastian, Spain, 2017. IEEE. details

  3. Jose Manuel Velasco and Oscar Garnica and Sergio Contador and Jose Manuel Colmenar and Esther Maqueda and Marta Botella and Juan Lanchares and Jose Ignacio Hidalgo. Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting. In Giovanni Squillero editor, 20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 142-157, Amsterdam, 2017. Springer. details

  4. J. Manuel Colmenar and Jose Ignacio Hidalgo and Juan Lanchares and Oscar Garnica and Jose L. Risco-Martin and Ivan Contreras and Almudena Sanchez and J. Manuel Velasco. Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, volume 9598, pages 118-133, Porto, Portugal, 2016. Springer. details

  5. J. Manuel Velasco and Stephan Winkler and J. Ignacio Hidalgo and Oscar Garnica and Juan Lanchares and J. Manuel Colmenar and Esther Maqueda and Marta Botella and Jose-Antonio Rubio. Data-Based Identification of Prediction Models for Glucose. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2015 Medical Applications of Genetic and Evolutionary Computation (MedGEC'15) Workshop, pages 1327-1334, Madrid, Spain, 2015. ACM. details

  6. J. Ignacio Hidalgo and J. Manuel Colmenar and Jose L. Risco-Martin and Esther Maqueda and Marta Botella and Jose Antonio Rubio and Alfredo Cuesta-Infante and Oscar Garnica and Juan Lanchares. Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2014 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC), pages 1305-1312, Vancouver, BC, Canada, 2014. ACM. details

  7. J. Manuel Colmenar and Jose L. Risco-Martin and David Atienza and Oscar Garnica and J. Ignacio Hidalgo and Juan Lanchares. Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution. 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 1227-1234, Portland, Oregon, USA, 2010. ACM. details

  8. Aitor Ibarra and J. Lanchares and J. Mendias and J. I. Hidalgo and R. Hermida. Transformation of Equational Specification by Means of Genetic Programming. In James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume 2278, pages 248-257, Kinsale, Ireland, 2002. Springer-Verlag. details

Genetic Programming book chapters by J Lanchares