2 papers
cs.AI2026
Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach
Fabrizio De Santis, Gyunam Park, Wil M. P. van der Aalst +1
Existing approaches for predictive process monitoring are sub-symbolic, meaning that they learn correlations between descriptive features and a target feature fully based on data,…
cs.AI2026
Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule Pruning
Fabrizio De Santis, Gyunam Park, Francesco Zanichelli
Predictive modeling on sequential event data is critical for fraud detection and healthcare monitoring. Existing data-driven approaches learn correlations from historical data but…