Genetic Programming Bibliography entries for Oscar Garnica

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8010

GP coauthors/coeditors: Jorge Cano, Jose Ignacio Hidalgo Perez, J Lanchares, J Manuel Colmenar, Jose L Risco-Martin, David Atienza Alonso, Ivan Contreras, Almudena Sanchez, Jose Manuel Velasco Cabo, Sergio Contador, Marina Miguel De la Cruz Lopez, Josefa Diaz Alvarez, Esther Maqueda, Marta Botella-Serrano, Jose Antonio Rubio, Alfredo Cuesta-Infante, Gabriel Kronberger, Stephan M Winkler, Carlos Cervigon Ruckauer, Remedios Martinez, Aranzazu Aramendi, Daniel Parra Rodriguez, Nuno Lourenco, Laura Millan Garcia, Ricardo Fernandez Serrano, Gaspar Gonzalez Doncel, Alberto Gutierrez,

Genetic Programming Articles by Oscar Garnica

  1. Sergio Contador and J. Manuel Colmenar and Oscar Garnica and J. Manuel Velasco and J. Ignacio Hidalgo. Blood glucose prediction using multi-objective grammatical evolution: analysis of the ``agnostic'' and ``what-if'' scenarios. Genetic Programming and Evolvable Machines, 23(2):161-192, 2022. details

  2. Sergio Contador and J. Manuel Velasco and Oscar Garnica and J. Ignacio Hidalgo. Glucose forecasting using genetic programming and latent glucose variability features. Applied Soft Computing, 110:107609, 2021. details

  3. Jose Ignacio Hidalgo and Marta Botella and J. Manuel Velasco and Oscar Garnica and Carlos Cervigon and Remedios Martinez and Aranzazu Aramendi and Esther Maqueda and Juan Lanchares. Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging. Appl. Soft Comput, 88:105923, 2020. details

  4. 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):267-277, 2018. details

  5. 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

  6. 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

  7. Jose L. Risco-Martin and David Atienza and J. Manuel Colmenar and Oscar Garnica. A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems. Parallel Computing, 36(10-11):572-590, 2010. Parallel Architectures and Bioinspired Algorithms. details

Genetic Programming conference papers by Oscar Garnica

  1. Oscar Garnica. Tree-based grammatical evolution with non-encoding nodes. In Wolfgang Banzhaf and Ting Hu and Alexander Lalejini and Stephan Winkler editors, Genetic Programming Theory and Practice XXI, University of Michigan, USA, 2024. details

  2. Marina de la Cruz Lopez and Oscar Garnica and J. Ignacio Hidalgo. Tree-Based Grammatical Evolution with Non-Encoding Nodes. In Justyna Petke and Aniko Ekart editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 63-64, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Jorge Cano and J. Ignacio Hidalgo and Oscar Garnica and Juan Lanchares. Hardware Design of a Model Generator Based on Grammars and Cartesian Genetic Programming for Blood Glucose Prediction. In Justyna Petke and Aniko Ekart editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 55-56, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. J. Ignacio Hidalgo and Jose Manuel Velasco and Daniel Parra and Oscar Garnica. Genetic Programming Techniques for Glucose Prediction in People with Diabetes. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 105-124, Michigan State University, USA, 2023. Springer. details

  5. Daniel Parra and Alberto Gutierrez and Jose-Manuel Velasco and Oscar Garnica and J. Ignacio Hidalgo. Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models. In Juan Luis Jimenez Laredo and J. Ignacio Hidalgo and Kehinde Oluwatoyin Babaagba editors, 25th International Conference, EvoApplications 2022, volume 13224, pages 61-76, Madrid, 2022. Springer. details

  6. Laura Millan Garcia and Gabriel Kronberger and Jose Ignacio Hidalgo Perez and Ricardo Fernandez Serrano and Oscar Garnica and Gaspar Gonzalez Doncel. Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming. In Pedro Castillo and Juanlu Jimenez-Laredo editors, 24th International Conference, EvoApplications 2021, volume 12694, pages 421-436, virtual event, 2021. Springer Verlag. details

  7. Sergio Contador and J. Manuel Colmenar and Oscar Garnica and J. Ignacio Hidalgo. Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution. In Pedro A. Castillo and Juan Luis Jimenez Laredo and Francisco Fernandez de Vega editors, 23rd International Conference, EvoApplications 2020, volume 12104, pages 494-509, Seville, Spain, 2020. Springer Verlag. details

  8. Sergio Contador and J. Manuel Velasco and Oscar Garnica and J. Ignacio Hidalgo. Profiled Glucose Forecasting using Genetic Programming and Clustering. In Federico Divina and Miguel Garcia Torres editors, The 35th ACM/SIGAPP Symposium On Applied Computing, pages 529-536, Brno, Czech Republic, 2020. ACM. details

  9. Nuno Lourenco and J. Manuel Colmenar and J. Ignacio Hidalgo and Oscar Garnica. Structured Grammatical Evolution for Glucose Prediction in Diabetic Patients. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1250-1257, Prague, Czech Republic, 2019. ACM. details

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

Genetic Programming book chapters by Oscar Garnica