Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A. - Alberto Archetti; Marco Cannici; Matteo Matteucci (LOD, 2021)

SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning. - Eugenio Lomurno; Alberto Archetti; Lorenzo Cazzella; Stefano Samele; Leonardo Di Perna; Matteo Matteucci (AIPR, 2022)

Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques. - Alberto Archetti; Francesco Stranieri; Matteo Matteucci (HC@AIxIA, 2023)

Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning (short paper). - Francesco Stranieri; Alberto Archetti; Enrico Robbiano; Chaaben Kouki; Fabio Stella (AIABI@AI*IA, 2023)

Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks. - Eugenio Lomurno; Alberto Archetti; Francesca Ausonio; Matteo Matteucci (BMVC, 2023)

Federated Survival Forests. - Alberto Archetti; Matteo Matteucci (IJCNN, 2023)

Heterogeneous Datasets for Federated Survival Analysis Simulation. - Alberto Archetti; Eugenio Lomurno; Francesco Lattari; André Martin; Matteo Matteucci (ICPE (Companion), 2023)

Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics. - Alberto Archetti; Francesca Ieva; Matteo Matteucci (Future Gener. Comput. Syst., 2023)

Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0. - Fatemeh Baghdadi; Davide Cirillo; Daniele Lezzi; Francesc Lordan; Fernando Vázquez; Eugenio Lomurno; Alberto Archetti; Danilo Ardagna; Matteo Matteucci (CLOSER, 2024)

Latent Neural Cellular Automata for Resource-Efficient Image Restoration. - Andrea Menta; Alberto Archetti; Matteo Matteucci (CoRR, 2024)

FPBoost: Fully Parametric Gradient Boosting for Survival Analysis. - Alberto Archetti; Eugenio Lomurno; Diego Piccinotti; Matteo Matteucci (CoRR, 2024)