Presentations

2026

• Pagliuca, P. (2026). Benchmarking Evolutionary Algorithms: the Importance of a Correct Fitness Analysis. Contribution presented at the 20th International Workshop on Artificial Life and Evolutionary Computation (WIVACE 2026).

• Pagliuca, P. (2026). Designing Effective Convolutional Neural Networks with Genetic Algorithms. Contribution presented at the 2nd edition of the conference on Computational Intelligence for Innovation, Technological Management, Bioengineering, Robotics and Cyber-Physical Systems (TRAJECTORIES 2026).

• Pagliuca, P. (2026). Emerging Trends in Multi-Agent Systems from an Evolutionary Perspective. Contribution presented at the 27th edition of the Workshop From Objects to Agents (WOA 2026).

• Pagliuca, P., Marano, G. C., Chiaia, B., & Manuello Bertetto, A. (2026). Form-Finding vs. Resource Allocation: A Circular Approach to Gridshell Design. Contribution presented at the IASS-IWSS 2026 joint conference (IASS-IWSS 2026).

• Pagliuca, P., & Vitanza, A. (2026). Genetic Algorithms vs. Evolutionary Strategies: Evidence from Collective Aggregation in Multi-Agent Systems. Contribution presented at the 34th edition of the Italian Workshop on Neural Networks (WIRN 2026).

• Pagliuca, P., & Vitanza, A. (2026). The Interplay Between Functionality and Complexity in Neural Network Efficiency. Contribution presented at the 2026 International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026).

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).

• Pagliuca, P., Tufo, G., Zribi, M., & Pitolli, F. (2025). Detection of Drug Abuse through CNNs and ViTs: a Comparative Analysis of Performance and Explainability. Contribution presented at the 1st Workshop on Innovative Medical image Processing with AI-driven preCision Technologies (IMPACT 2025).

• Pagliuca, P., & Vitanza, A. (2025). Integrating a Quantitative Approach to Deep Learning for Patient Monitoring. Contribution presented at the 14th Forum of Italian Ambient Assisted Living (ForItAAL 2025).

• Pagliuca, P., & Vitanza, A. (2025). Learning Locomotion by Co-Evolution of Morphological and Neural Parameters. Contribution presented at the 2025 IEEE International Conference on Development and Learning (ICDL 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).

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).

• 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).

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).

• 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).

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).