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Author

Stefano Quer

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Open access Nov 2026

Hydra-MCS: A Hybrid CPU-GPU Approach to Accelerate the Maximum Common Subgraph Computation

The Maximum Common Subgraph (MCS) problem is a fundamental challenge in graph theory. It generalizes the subgraph isomorphism problem and is known to be NP-complete and difficult to approximate. This inherent complexity underscores the need for efficient solutions. This work introduces Hydra-MCS, a novel hybrid CPU-GPU...

Lorenzo Cardone, Stefano Quer · 0 citations
Open access Jul 2026

VARADE++: An Edge-Friendly Framework for Real-Time Anomaly Detection in Production Plants

This work introduces VARADE++, an edge-optimized anomaly detection framework designed to navigate the complex trade-offs between anomaly detection accuracy, inference speed, and computational efficiency, integrated into an advanced IoT infrastructure, enabling low-latency handling of intricate data streams.

Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio et al. · 0 citations
Open access 2026

Beyond the Black Box: Neuro-Symbolic Integration for Interpretable Video-Based Reinforcement Learning

A cognitively inspired neuro-symbolic framework for extracting interpretable world models from raw video streams in dynamic 2D environments and proposes a domain-agnostic agent that develops complex behaviors driven by a composite intrinsic reward based on causal impact and event-driven curiosity.

Lorenzo Cardone, Giorgia Ghisolfo, G. Mongardi et al. · 0 citations
Open access 2026

Cooperative Multi-Heuristic Parallelization for the Maximum Common Induced Subgraph Problem

CP-McSplitDAL is introduced, a cooperative parallel framework that extends McSplit-DAL with portfolio-style multi-heuristic search on shared-memory machines and achieves lower regret in time to optimality, improves solution quality under time limits, and better exploits multi-core hardware than non-cooperative or purel...

Lorenzo Cardone, Stefano Quer · 0 citations

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