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Barbierato, Enrico

Barbierato, Enrico  

BRESCIA - Dipartimento di Matematica e fisica 'Niccolò Tartaglia'  

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Data di pubblicazione Titolo Autore(i) File
1-gen-2025 Breaking Away from AI: The Ontological and Ethical Evolution of Machine Learning Barbierato, Enrico; Gatti, A.; Incremona, Alessandro; Pozzi, Andrea; Toti, Daniele
1-gen-2025 Data-Driven Diagnostics for Pediatric Appendicitis: Machine Learning to Minimize Misdiagnoses and Unnecessary Surgeries Maffezzoni, D.; Barbierato, Enrico; Gatti, A.
1-gen-2025 MODELING CYBER THREATS IN AUTONOMOUS GUIDED VEHICLES USING MEAN FIELD MODELS Barbierato, Enrico; Curzel, S.; Gatti, A.; Gribaudo, M.; Iacono, M.
1-gen-2025 Quantifying Cybersecurity-QoS Trade-Offs in Smart Hospitals: A Comparative Study Using CSPNs and Markovian Agent Models Barbierato, Enrico; Gatti, A.; Gribaudo, M.; Iacono, M.
1-gen-2025 Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures Bruni Prenestino, F.; Barbierato, Enrico; Gatti, A.
1-gen-2025 Topological Machine Learning for Financial Crisis Detection: Early Warning Signals from Persistent Homology Guritanu, E.; Barbierato, Enrico; Gatti, A.
1-gen-2025 Unsupervised machine learning for detecting mutual independence among eigenstate regimes in interacting quasiperiodic chains Beveridge, C.; Hart, K.; Cristani, C. R.; Li, X.; Barbierato, Enrico; Hsu, Y. -T.
1-gen-2025 Urban Science Meets Cyber Risk: Quantifying Smart City Downtime with CTMC and H3 Geospatial Data Barbierato, Enrico; Curzel, S.; Gatti, A.; Gribaudo, M.
1-gen-2024 A Time Series Approach to Smart City Transformation: The Problem of Air Pollution in Brescia Pagano, E.; Barbierato, Enrico
1-gen-2024 Balancing the Scale: Data Augmentation Techniques for Improved Supervised Learning in Cyberattack Detection Tosi T., Medvedieva K.; Barbierato, Enrico; Gatti, A.
1-gen-2024 Decoding Urban Intelligence: Clustering and Feature Importance in Smart Cities Barbierato, Enrico; Gatti, A
1-gen-2024 Enhancing Financial Time Series Prediction with Quantum-Enhanced Synthetic Data Generation: A Case Study on the S&P 500 Using a Quantum Wasserstein Generative Adversarial Network Approach with a Gradient Penalty Orlandi, F.; Barbierato, Enrico; Gatti, A.
1-gen-2024 Methodologies for the Parallelization, Performance Evaluation and Scheduling of Applications for the Cloud-Edge Continuum Esposito, Antonio; Aversa, Rocco; Barbierato, Enrico; Carla Calzarossa, Maria; Di Martino, Beniamino; Massari, Luisa; Giuseppe Mongiardo, Ivan; Tessera, Daniele; Venticinque, Salvatore; Zanussi, Luca; Zieni, Rasha
1-gen-2024 Performance Evaluation of Smart Bin Systems Using Markovian Agents for Efficient Garbage Collection Barbierato, Enrico; Gatti, A.; Gribaudo, M.; Iacono, M.
1-gen-2024 The Challenges of Machine Learning: A Critical Review Barbierato, Enrico; Gatti, A.
1-gen-2024 Toward Green AI: A Methodological Survey of the Scientific Literature Barbierato, Enrico; Gatti, A
1-gen-2024 Toward Greener Smart Cities: A Critical Review of Classic and Machine-Learning-Based Algorithms for Smart Bin Collection Gatti, A.; Barbierato, Enrico; Pozzi, Andrea
1-gen-2023 A Multiformalism-Based Model for Performance Evaluation of Green Data Centres Barbierato, Enrico; Manini, D.; Gribaudo, M.
1-gen-2023 Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling Barbierato, Enrico; Pozzi, Andrea; Tessera, Daniele
1-gen-2023 Cost- and performance-based evaluation of cloud-based disaster recovery Barbierato, Enrico; Iacono, M.; Gribaudo, M.; Mastroianni, M.