Enrique Naredo

According to our database, Enrique Naredo authored at least 36 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Step Size Control in Evolutionary Algorithms for Neural Architecture Search.

Christian Nieber, Douglas Mota Dias, Enrique Naredo, Conor Ryan

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Neural Architecture Search for Bearing Fault Classification.

Edicson Santiago Bonilla Diaz, Enrique Naredo, Nicolas Francisco Mateo Díaz, Douglas Mota Dias, Maria Alejandra Bonilla Diaz, Susan Harnett, Conor Ryan

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Dynamic Grammar Pruning for Program Size Reduction in Symbolic Regression.

Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan

SN Comput. Sci., July, 2023

A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences.

Yahya Almardeny, Alessio Benavoli, Noureddine Boujnah, Enrique Naredo

IEEE Trans. Artif. Intell., June, 2023

2022

Human in the Loop Fuzzy Pattern Tree Evolution.

Aidan Murphy, Gráinne Murphy, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan

SN Comput. Sci., 2022

Fuzzy Pattern Tree Evolution Using Grammatical Evolution.

Aidan Murphy, Muhammad Sarmad Ali, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan

SN Comput. Sci., 2022

HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution.

Gauri Vaidya, Luise Ilg, Meghana Kshirsagar, Enrique Naredo, Conor Ryan

Proceedings of the 19th International Conference on Smart Business Technologies, 2022

A Hierarchical Probabilistic Divergent Search Applied to a Binary Classification.

Senthil Murugan, Enrique Naredo, Douglas Mota Dias, Conor Ryan, Flaviano Godínez-Jaimes, James Vincent Patten

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

On the effect of embedding hierarchy within multi-objective optimization for evolving symbolic regression models.

Atif Rafiq, Enrique Naredo, Meghana Kshirsagar, Conor Ryan

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Lexi²: lexicase selection with lexicographic parsimony pressure.

Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Enrique Naredo, Joseph P. Sullivan, Conor Ryan

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Automated grammar-based feature selection in symbolic regression.

Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Pyramid-Z: Evolving Hierarchical Specialists in Genetic Algorithms.

Atif Rafiq, Enrique Naredo, Meghana Kshirsagar, Conor Ryan

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Towards Automatic Grammatical Evolution for Real-world Symbolic Regression.

Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites.

Vijay Sambhe, Shanmukha Rajesh, Enrique Naredo, Douglas Mota Dias, Meghana Kshirsagar, Conor Ryan

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

HNAS: Hyper Neural Architecture Search for Image Segmentation.

Yassir Houreh, Mahsa Mahdinejad, Enrique Naredo, Douglas Mota Dias, Conor Ryan

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

AutoGE: A Tool for Estimation of Grammatical Evolution Models.

Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Using grammatical evolution for modelling energy consumption on a computer numerical control machine.

Samuel Carvalho, Joe Sullivan, Douglas Mota Dias, Enrique Naredo, Conor Ryan

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Towards Incorporating Human Knowledge in Fuzzy Pattern Tree Evolution.

Aidan Murphy, Gráinne Murphy, Jorge L. M. Amaral, Douglas Mota Dias, Enrique Naredo, Conor Ryan

Proceedings of the Genetic Programming - 24th European Conference, 2021

2020

GA-based U-Net Architecture Optimization Applied to Retina Blood Vessel Segmentation.

Vipul Popat, Mahsa Mahdinejad, Oscar Dalmau Cedeño, Enrique Naredo, Conor Ryan

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Grammar-based Fuzzy Pattern Trees for Classification Problems.

Aidan Murphy, Muhammad Sarmad Ali, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

General controllers evolved through grammatical evolution with a divergent search.

Enrique Naredo, Conor Ryan, Ivan Guevara, Tiziana Margaria, Paulo Urbano, Leonardo Trujillo

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Pyramid: A Hierarchical Approach to Scaling Down Population Size in Genetic Algorithms.

Conor Ryan, Atif Rafiq, Enrique Naredo

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2017

The training set and generalization in grammatical evolution for autonomous agent navigation.

Enrique Naredo, Paulo Urbano, Leonardo Trujillo

Soft Comput., 2017

A comparison of fitness-case sampling methods for genetic programming.

Yuliana Martínez, Enrique Naredo, Leonardo Trujillo, Pierrick Legrand, Uriel López

J. Exp. Theor. Artif. Intell., 2017

RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming.

Uriel López, Leonardo Trujillo, Yuliana Martínez, Pierrick Legrand, Enrique Naredo, Sara Silva

Proceedings of the Genetic Programming - 20th European Conference, 2017

2016

Genetic Programming Based on Novelty Search.

Enrique Naredo

PhD thesis, 2016

Evolving genetic programming classifiers with novelty search.

Enrique Naredo, Leonardo Trujillo, Pierrick Legrand, Sara Silva, Luis Muñoz

Inf. Sci., 2016

Novelty Search for the Synthesis of Current Followers.

Enrique Naredo, Miguel Aurelio Duarte-Villaseñor, Manuel de Jesús García Ortega, Carlos E. Vázquez López, Leonardo Trujillo, Oscar S. Siordia

Computación y Sistemas, 2016

2014

Generalization in Maze Navigation Using Grammatical Evolution and Novelty Search.

Paulo Urbano, Enrique Naredo, Leonardo Trujillo

Proceedings of the Theory and Practice of Natural Computing, 2014

NEAT, There's No Bloat.

Leonardo Trujillo, Luis Muñoz, Enrique Naredo, Yuliana Martínez

Proceedings of the Genetic Programming - 17th European Conference, 2014

2013

A behavior-based analysis of modal problems.

Leonardo Trujillo, Lee Spector, Enrique Naredo, Yuliana Martínez

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Searching for novel clustering programs.

Enrique Naredo, Leonardo Trujillo

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Searching for Novel Classifiers.

Enrique Naredo, Leonardo Trujillo, Yuliana Martínez

Proceedings of the Genetic Programming - 16th European Conference, 2013

Searching for novel regression functions.

Yuliana Martínez, Enrique Naredo, Leonardo Trujillo, Edgar Galván López

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming.

Enrique Naredo, Enrique Dunn, Leonardo Trujillo

Proceedings of the EVOLVE, 2012

2011

ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem.

Enrique Naredo, Oscar Castillo

Proceedings of the Advances in Soft Computing, 2011