People
Dr Fabricio Goes
Lecturer in Creative Computing
School/Department: Computing and Mathematical Sciences, School of
Profile
My research interest in Large Language Models applied to Computational Creativity. Due to my recent publications, I was recently invited to be interviewed on the , the most popular data science podcast, the and the tech news to talk about the use of LLMs to evaluate creativity. I've also recently been invited to be a reviewer in . I'm also a HEA and IEEE member.
I'm looking for PhD students with interests in the application of LLMs in the creative industries. Please, contact me if you are interested.
Latest publications
- ICCC, 2023.
- ICCC, 2023.
- ICCC, 2023.
- ICCC, 2023.
- . IEEE Trans. Games, 2023.
- ArXiv, 2022.
Research
I'm currently a member of the Â鶹APP Conference on Computational Creativity (ICCC) program committee, the most important conference in this hot topic. I supervise/co-supervise 3 PhD students on topics related to Computational Creativity and I'm currently looking for strong PhD candidates, please get in contact if you are interested.
[Selected papers on Computational Creativity]
Fabricio Goes, Piotr Sawicki, Marek Grzes, Dan Brown, and Marco Volpe. "", In Â鶹APP Conference on Computational Creativity (ICCC), 2023.
Fabricio Goes, Marco Volpe, Piotr Sawicki, Marek Grzes, and Jacob Watson. "", In Â鶹APP Conference on Computational Creativity (ICCC), 2023.
Celso França, Zisen Zhou, Carolina Fernanda da Silva, Cibele Simões de Oliveira Santos, Lucas Braga Ferreira, Lucas Henrique Pereira, Marcos Pablo Souza de Almeida, Marina Iolanda Oliveira, Thaís Regina Damásio, Vinícius Silva Pacheco, and Fabricio Goes, "". IEEE Transactions on Games, 2023.
Piotr Sawicki, Marek Grzes, Fabricio Goes, Dan Brown, Max Peeperkorn, and Aisha Khatun. "" In Â鶹APP Conference on Computational Creativity (ICCC), 2023.
Piotr Sawicki, Marek Grzes, Fabricio Goes, Dan Brown, Max Peeperkorn, Aisha Khatun, and Simona Paraskevopoulou. ", In Â鶹APP Conference on Computational Creativity (ICCC), 2023.
Fabricio Goes, Zisen Zhou, Piotr Sawicki, Marek Grzes, Daniel G. Brown, "", Arxiv, 2022.
W. Santos, J. Ribeiro, F. Magalhaes and Fabricio Goes, "Creative Culinary Recipe Generation Based on Statistical Language Models"Â, in IEEE Access, 2020.
B. A. G. Oliveira, C. A. P. D. S. Martins, F. Magalhaes and Fabricio Goes, "Difference Based Metrics for Deep Reinforcement Learning Algorithms," in IEEE Access, vol. 7, pp. 159141-159149, 2019.
A. R. da Silva and Fabricio Goes, "HearthBot: An Autonomous Agent Based on Fuzzy ART Adaptive Neural Networks for the Digital Collectible Card Game HearthStone," in IEEE Transactions on Games (TOG), vol. 10, no. 2, pp. 170-181, 2018.
Fabricio Goes et al., "HoningStone: Building Creative Combos with Honing Theory for a Digital Card Game," in IEEE Transactions on Computational Intelligence and AI in Games (TCIAIG), vol. 9, no. 2, pp. 204-209, 2017.
A. Amorim, C. Franca, A. R. Silva, Fabricio Goes, "Creative Flavor Pairing: Design Flavor Combinations Using the Food Pairing Hypothesis and Assessing their Creativity by the RDC Metric"Â, in the Â鶹APP Conference on Computational Creativity (ICCC), 2017.
H. A. Batista, C. Franca, Fabricio Goes, "Evolutionary Music Composition for Digital Games Using Regent-Dependent Creativity Metric"Â, in the Brazilian Symposium on Games and Digital Entertainment (SBGames), 2017.
C. Franca, Fabricio Goes, A. Amorim and A. R. Silva, "Regent-Dependent Creativity: A Domain Independent Metric for the Assessment of Creative Artifacts"Â, in the Â鶹APP Conference on Computational Creativity (ICCC), 2016.
Supervision
Teaching
Press and media
Due to my recent publications, I was recently invited to be interviewed about LLMs and Computational Creativity on the:
- - the most popular data science podcast
- - Canadian Broadcasting Corporation TV/Radio
- Tech News - a world emergent tech news