- Fonseca, Alcides, and Diogo Poças. "Comparing the expressive power of Strongly-Typed and Grammar-Guided Genetic Programming." (2023).
- Espada, Guilherme, et al. "Data types as a more ergonomic frontend for grammar-guided genetic programming." Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences. 2022.
- Fonseca, Alcides, and Bruno Cabral. "Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis." Big Data Research (2017).
- Stork, Sven, et al. "Aeminium: A permission-based concurrent-by-default programming language approach." ACM Transactions on Programming Languages and Systems (TOPLAS) 36.1 (2014): 2.
- Fonseca A, Santos P, Silva S. The Usability Argument for Refinement Typed Genetic Programming. InInternational Conference on Parallel Problem Solving from Nature 2020 Sep 5 (pp. 18-32). Springer, Cham.
Alcides Fonseca
Contactos
Departamento de InformáticaSala/Gabinete 6.3.17
Ext. Principal 26702
Extensão pessoal 721013
Email amfonseca@ciencias.ulisboa.pt
Página Pessoal
Carreira Docente Universitário
Categoria Professor Associado
Indicadores
OrcidScopus
Google Scholar
CiênciaVitae
Interesses Científicos
Programação Automática
Programação Paralela
Machine Learning
Computação Evolutionária
Scientific Interests
Program Synthesis, Genetic Programming, Refinement Types
Publicações selecionadas