1 citations · 1 across the 4 of their papers we have counts for
6 papers
Jev thinks "I don't know'', but doesn't say it: Introducing Sys1Cal-v1 Dataset for Probability Calibration
Riccardo Porcedda
The appearance of Jev marked the era of System One Models, foundation models that return structured decisions with probability distributions rather than text. Aside from low cost a…
Equitable Partition Realizability for Dynamics-preserving and Privacy-aware Network Reconstruction
Riccardo Porcedda
Degree-sequence realizability is the combinatorial basis of configuration models, but degree constraints alone do not ensure the preservation of graph dynamics. Hence, configuratio…
Towards Agentic Agent-based Models: Feasibility, Performance, and Statistical Model Checking
Stefano Blando, Emanuele Guerrazzi, Riccardo Porcedda +3
Agent-based models (ABMs) rely on simple, explicit and reproducible rules for individual decision making, while complex collective behavior emerges from interactions among agents.…
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
Riccardo Porcedda, Giuseppe Squillace, Bastian Epping +4
While Graph Neural Networks (GNNs) have demonstrated significant efficacy in node classification tasks, where predictions rely on local neighborhood information, the performance of…
GravityGraphSAGE: Link Prediction in Directed Attributed Graphs
Riccardo Porcedda, Francesca Chiaromonte, Fabrizio Lillo +1
Link prediction (inferring missing or future connections between nodes in a graph) is a fundamental problem in network science with widespread applications in, e.g., biological sys…
Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education
Riccardo Porcedda
The field of eXplainable Artificial Intelligence faces challenges due to the absence of a widely accepted taxonomy that facilitates the quantitative evaluation of explainability in…