Edgar Galván

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 43

Top Topics

Confidence Bounds

Expression Recognition

Monte Carlo Tree Search

Genetic Programming

Top Venues

GECCO Companion

Publications

Fergal Stapleton, Edgar Galván
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks. CoRR (2024)
Fergal Stapleton, Brendan Cody-Kenny, Edgar Galván
NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming. CoRR (2024)
Fergal Stapleton, Edgar Galván
NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks. CEC (2024)
Edgar Galván, Fred Valdez Ameneyro
An Analysis on the Effects of Evolving the Monte Carlo Tree Search Upper Confidence for Trees Selection Policy on Unimodal, Multimodal and Deceptive Landscapes. CoRR (2023)
Edgar Galván, Gavin Simpson, Fred Valdez Ameneyro
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-Inspired Evolutionary Algorithm in the Game of Carcassonne. IEEE Trans. Games 15 (3) (2023)
Edgar Galván, Fergal Stapleton
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction. Appl. Soft Comput. 146 (2023)
Gabriel R. Palma, Wesley Augusto Conde Godoy, Eduardo Engel, Douglas Lau, Edgar Galván, Oliver Mason, Charles Markham, Rafael de Andrade Moral
Pattern-based prediction of population outbreaks. Ecol. Informatics 77 (2023)
Leonardo Trujillo, Joel Nation, Luis Muñoz, Edgar Galván
Predicting the success of transfer learning for genetic programming using DeepInsight feature space alignment. AI Commun. 36 (3) (2023)
Fred Valdez Ameneyro, Edgar Galván
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy. CoRR (2023)
Fergal Stapleton, Edgar Galván
Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. CoRR (2023)
Fergal Stapleton, Edgar Galván
Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares. GECCO Companion (2023)
Shuchao Deng, Yanan Sun, Edgar Galván
Neural Architecture Search Using Genetic Algorithm for Facial Expression Recognition. CoRR (2023)
Shuchao Deng, Zeqiong Lv, Edgar Galván, Yanan Sun
Evolutionary Neural Architecture Search for Facial Expression Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Edgar Galván, Fergal Stapleton
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction. CoRR (2023)
Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John B. McDonald
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. IJCNN (2022)
Edgar Galván, Gavin Simpson, Fred Valdez Ameneyro
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne. CoRR (2022)
Edgar Galván, Leonardo Trujillo, Fergal Stapleton
Highlights of Semantics in Multi-objective Genetic Programming. CoRR (2022)
Edgar Galván, Leonardo Trujillo, Fergal Stapleton
Semantics in Multi-objective Genetic Programming. Appl. Soft Comput. 115 (2022)
Vicenç Torra, Edgar Galván, Guillermo Navarro-Arribas
PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization. Int. J. Inf. Sec. 21 (6) (2022)
Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Kumar Yogamani
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles. CoRR (2022)
Shuchao Deng, Yanan Sun, Edgar Galván
Neural architecture search using genetic algorithm for facial expression recognition. GECCO Companion (2022)
Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Kumar Yogamani
Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. GECCO Companion (2022)
Fred Valdez Ameneyro, Edgar Galván
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy. SSCI (2022)
Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John B. McDonald
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. CoRR (2022)
Edgar Galván, Leonardo Trujillo, Fergal Stapleton
Highlights of semantics in multi-objective genetic programming. GECCO Companion (2022)
Edgar Galván
Neuroevolution in Deep Learning: The Role of Neutrality. CoRR (2021)
Fergal Stapleton, Edgar Galván
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. CEC (2021)
Edgar Galván, Peter Mooney
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges. IEEE Trans. Artif. Intell. 2 (6) (2021)
Edgar Galván, Leonardo Trujillo, Fergal Stapleton
Semantics in Multi-objective Genetic Programming. CoRR (2021)
Edgar Galván, Joaquín García-Alfaro, Guillermo Navarro-Arribas, Vicenç Torra
Agents in a privacy-preserving world. Trans. Data Priv. 14 (1) (2021)
Fergal Stapleton, Edgar Galván
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. CoRR (2021)
Edgar Galván, Gavin Simpson
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne. SSCI (2021)
Edgar Galván, Gavin Simpson
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne. CoRR (2021)
Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales
{Playing Carcassonne with Monte Carlo Tree Search. CoRR (2020)
Edgar Galván, Fergal Stapleton
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition. CoRR (2020)
Leonardo Trujillo, Ernesto Álvarez González, Edgar Galván, Juan J. Tapia, Antonin Ponsich
On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race. Soft Comput. 24 (19) (2020)
Edgar Galván, Fergal Stapleton
Semantic-based Distance Approaches in Multi-objective Genetic Programming. SSCI (2020)
Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales
Playing Carcassonne with Monte Carlo Tree Search. SSCI (2020)
Edgar Galván, Fergal Stapleton
Semantic-based Distance Approaches in Multi-objective Genetic Programming. CoRR (2020)
Vicenç Torra, Guillermo Navarro-Arribas, Edgar Galván
Explaining Recurrent Machine Learning Models: Integral Privacy Revisited. PSD (2020)
Edgar Galván, Oxana Gorshkova, Peter Mooney, Fred Valdez Ameneyro, Erik Cuevas
Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing. CoRR (2020)
Edgar Galván, Peter Mooney
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges. CoRR (2020)
Edgar Galván, Marc Schoenauer
Promoting semantic diversity in multi-objective genetic programming. GECCO (2019)
Edgar Galván, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill
Reducing electricity costs in a dynamic pricing environment. SmartGridComm (2012)