Francisco Baeta
Francisco Baeta is a Ph.D. Student enrolled on the Doctoral Program in Information Science and Technology at the University of Coimbra, holding a Masters's and a Bachelor's degree in Informatics Engineering from the same institution.
He is mainly interested in the fields of Evolutionary Computation and Complex Systems, particularly regarding Genetic Algorithms and Fractal Geometry, respectively. His research at the Computational Design and Visualization Lab (CISUC) currently focuses on the application of parallelization techniques to Genetic Programming.
Email: fjrbaeta@dei.uc.pt
ORCID: 0000-0002-9535-2329
He is mainly interested in the fields of Evolutionary Computation and Complex Systems, particularly regarding Genetic Algorithms and Fractal Geometry, respectively. His research at the Computational Design and Visualization Lab (CISUC) currently focuses on the application of parallelization techniques to Genetic Programming.
Email: fjrbaeta@dei.uc.pt
ORCID: 0000-0002-9535-2329
Related projects
In Proceedings
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F. Baeta, J. Correia, T. Martins, and P. Machado, “Speed benchmarking of genetic programming frameworks,” in GECCO ’21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021, 2021, pp. 768-775.
- Bibtex
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- Link
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@inproceedings{baeta2021speed,
author = {Francisco Baeta and
Jo{\~{a}}o Correia and
Tiago Martins and
Penousal Machado},
editor = {Francisco Chicano and
Krzysztof Krawiec},
title = {Speed benchmarking of genetic programming frameworks},
booktitle = {{GECCO} ’21: Genetic and Evolutionary Computation Conference, Lille,
France, July 10-14, 2021},
pages = {768–775},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3449639.3459335},
doi = {10.1145/3449639.3459335},
timestamp = {Thu, 24 Jun 2021 13:39:32 +0200},
biburl = {https://dblp.org/rec/conf/gecco/BaetaCMM21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
} -
F. Baeta, J. Correia, T. Martins, and P. Machado, “TensorGP – Genetic Programming Engine in TensorFlow,” in Applications of Evolutionary Computation – 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings, 2021, pp. 763-778.
- Bibtex
- |
- Link
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@inproceedings{baeta2021tensorgp,
author = {Francisco Baeta and Jo{\~{a}}o Correia and Tiago Martins and Penousal Machado},
editor = {Pedro A. Castillo and Juan Luis Jim{\'{e}}nez Laredo},
title = {TensorGP – Genetic Programming Engine in TensorFlow},
booktitle = {Applications of Evolutionary Computation – 24th International Conference,
EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event,
April 7-9, 2021, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {12694},
pages = {763–778},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-72699-7\_48},
doi = {10.1007/978-3-030-72699-7\_48},
biburl = {https://dblp.org/rec/conf/evoW/BaetaCMM21.bib},
}
Master’s Theses
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F. J. R. Baeta, “Genetic Programming in Graphic Processing Units with TensorFlow,” Master Thesis, 2020.