| 2026 | GECCO | Evolutionary Generative AI: Synthesis, Optimization, and Creativity. | Penousal Machado, Joo Correia |
| 2026 | GECCO | Inference-Time Optimization of Prompt Embeddings in Diffusion Models: A Comparison of sep-CMA-ES and Adam. | Domcio Pereira Neto, Penousal Machado, Joo Correia |
| 2025 | EvoMUSART | Towards the Automatic Evaluation of Legibility for Graphic Design Posters. | Daniel Lopes, Joo Macedo, Iria Santos, Alvaro Torrente-Patio, Joo Correia, Penousal Machado |
| 2025 | GECCO | Evolutionary Art and Design in the Machine Learning Era. | Penousal Machado, Joo Correia |
| 2024 | CEC | Towards Evolution of Deep Neural Networks through Contrastive Self-Supervised Learning. | Adriano Vinhas, Joo Correia, Penousal Machado |
| 2024 | EvoMUSART | Evolving Visually-Diverse Graphic Design Posters. | Joo Macedo, Daniel Lopes, Joo Correia, Penousal Machado, Ernesto Costa |
| 2024 | GECCO | Exploring Evolutionary Generators within Generative Adversarial Networks. | Francisco Baeta, Joo Correia, Tiago Martins, Penousal Machado |
| 2024 | GECCO | Evolutionary Art and Design in the Machine Learning Era. | Penousal Machado, Joo Correia |
| 2024 | IJCAI | From Pixels to Metal: AI-Empowered Numismatic Art. | Penousal Machado, Tiago Martins, Joo Correia, Lus Esprito Santo, Nuno Loureno, Joo Miguel Cunha, Srgio Rebelo, Pedro Martins, Joo Bicker |
| 2023 | EvoMUSART | EvoDesigner: Aiding the Exploration of Innovative Graphic Design Solutions. | Daniel Lopes, Joo Correia, Penousal Machado |
| 2023 | EvoMUSART | Towards the Evolution of Prompts with MetaPrompter. | Tiago Martins, Joo Miguel Cunha, Joo Correia, Penousal Machado |
| 2023 | GECCO | Generating Adversarial Examples through Latent Space Exploration of Generative Adversarial Networks. | Luana Clare, Joo Correia |
| 2023 | GECCO | Combining Evolutionary Algorithms with Reaction Rules Towards Focused Molecular Design. | Joo Correia, Vitor Pereira, Miguel Rocha |
| 2023 | GECCO | Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies. | Victor Costa, Nuno Loureno, Joo Correia, Penousal Machado |
| 2022 | GECCO | TGPGAN: towards expression-based generative adversarial networks. | Francisco Baeta, Joo Correia, Tiago Martins, Penousal Machado |
| 2022 | GECCO | Exploring expression-based generative adversarial networks. | Francisco Baeta, Joo Correia, Tiago Martins, Penousal Machado |
| 2022 | IJCNN | Development of Deep Learning approaches to predict relationships between chemical structures and sweetness. | Joo Capela, Joo Correia, Vitor Pereira, Miguel Rocha |
| 2022 | IJCNN | Predicting the number of biochemical transformations needed to synthesize a compound. | Joo Correia, Rafael Carreira, Vitor Pereira, Miguel Rocha |
| 2021 | GECCO | Speed benchmarking of genetic programming frameworks. | Francisco Baeta, Joo Correia, Tiago Martins, Penousal Machado |
| 2021 | GECCO | Improved evolution of generative adversarial networks. | Victor Costa, Nuno Loureno, Joo Correia, Penousal Machado |
| 2021 | IDEAL | Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora. | Joo Correia, Rui Mendes |
| 2021 | PACBB | A Comparison of Different Compound Representations for Drug Sensitivity Prediction. | Delora Baptista, Joo Correia, Bruno Pereira, Miguel Rocha |
| 2020 | ECAI | Towards Latent Space Exploration for Classifier Improvement. | Paulo Fernandes, Joo Correia, Penousal Machado |
| 2020 | GECCO | Cable-stayed bridge optimization solution space exploration. | Joo Correia, Fernando Ferreira, Catarina Mas |
| 2020 | GECCO | Exploring the evolution of GANs through quality diversity. | Victor Costa, Nuno Loureno, Joo Correia, Penousal Machado |
| 2020 | GECCO | Adea - Evolving glyphs for aiding creativity in typeface design. | Daniel Lopes, Joo Correia, Penousal Machado |
| 2019 | GECCO | Evolutionary data augmentation in deep face detection. | Joo Correia, Tiago Martins, Penousal Machado |
| 2019 | GECCO | COEGAN: evaluating the coevolution effect in generative adversarial networks. | Victor Costa, Nuno Loureno, Joo Correia, Penousal Machado |
| 2019 | PACBB | Artificial Intelligence in Biological Activity Prediction. | Joo Correia, Tiago Resende, Delora Baptista, Miguel Rocha |
| 2016 | GECCO | Evotype: From Shapes to Glyphs. | Tiago Martins, Joo Correia, Ernesto Costa, Penousal Machado |
| 2015 | IJCAI | Evolving Families of Shapes. | Filipe Assuno, Joo Correia, Pedro Martins, Penousal Machado |
| 2015 | IJCAI | Evolving Ambiguous Images. | Penousal Machado, Adriano Vinhas, Joo Correia, Anik Ekrt |
| 2015 | IDC | A Distributed Approach to Computational Creativity. | Amlcar Cardoso, Pedro Martins, Filipe Assuno, Joo Correia, Penousal Machado |
| 2014 | GECCO | Semantic aware methods for evolutionary art. | Penousal Machado, Joo Correia |
| 2012 | EUROGP | Improving Face Detection. | Penousal Machado, Joo Correia, Juan Romero |
| 2012 | GECCO | Improving haar cascade classifiers through the synthesis of new training examples. | Joo Correia, Penousal Machado, Juan Romero |
| 2004 | LREC | INQUER: A WordNet-based Question-Answering Application. | Catarina Ribeiro, Ricardo Santos, Joo Correia, Rui Pedro Chaves, Palmira Marrafa |