Presentations

2025

• Pagliuca, P., Zribi, M., Tufo, G., & Pitolli, F. (2025). The Trade-off between Efficiency, Sustainability and Explainability: a Comparative Study on the Quality Control of Laboratory Consumables. Contribution presented at the 2025 Internal Joint Conference on Neural Networks (IJCNN 2025).

• Pagliuca, P., Tufo, G., Zribi, M. & Pitolli, F. (2025). Can ConvNet3_4 be a universal model? A preliminary investigation on the MNIST, FashionMNIST and CIFAR10 datasets. Contribution presented at the 33rd edition of the Italian Workshop on Neural Networks (WIRN 2025).

2024

• Pagliuca, P., Tufo, G., Zribi, M. & Pitolli, F. (2024). Detection of Drug Abuse in Lateral Flow Tests with a CNN. Poster presented at the 2nd edition of the Workshop on Mathematical Challenges to and from new technologies (MATCHES 2024).

• Pagliuca, P., & Vitanza, A. (2024). Enhancing Aggregation in Locomotor Multi-Agent Systems: a Theoretical Framework. Contribution presented at the 25th edition of the Workshop From Objects to Agents (WOA 2024).

• Pagliuca, P. (2024). Learning enhances evolutionary algorithms in simple autonomous agents: a quantitative and qualitative analysis. Contribution presented at the 32nd edition of the Italian Workshop on Neural Networks (WIRN 2024).

2023

• Pagliuca, P., & Vitanza, A. (2023). n-mates evaluation: a new method to improve the performance of genetic algorithms in heterogeneous multi-agent systems. Contribution presented at the 24th edition of the Workshop From Objects to Agents (WOA 2023).

• Pagliuca, P., & Inglese, D. Y. (2023). The importance of functionality over complexity. A preliminary study on feed-forward neural networks. Contribution presented at the 31st edition of the Italian Workshop on Neural Networks (WIRN 2023).

2022

• Pagliuca, P., Milano, N., & Nolfi, S. (2022). Automated Categorization of Behavioral Quality Through Deep Neural Networks. Contribution presented at the satellite event PsychoBit of the 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (IEEE MetroXRAINE 2022).

• Pagliuca, P., & Vitanza, A. (2022). Evolving aggregation behaviors in swarms from an evolutionary algorithms point of view. Contribution presented at the 30th edition of the Italian Workshop on Neural Networks (WIRN 2022).