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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-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 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.
1-gen-2023 Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News Pozzi, Andrea; Barbierato, Enrico; Toti, Daniele
1-gen-2023 HEALER: A Data Lake Architecture for Healthcare Manco, C.; Dolci, T.; Azzalini, F.; Barbierato, Enrico; Gribaudo, M.; Tanca, L.
1-gen-2023 Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters Pozzi, Andrea; Barbierato, Enrico; Toti, Daniele
1-gen-2023 Preface Iacono, M; Barbierato, Enrico; Cerotti, D; Scarpa, M; Serrano, S; Longo, F
1-gen-2023 Workflow Characterization of a Big Data System Model for Healthcare Through Multiformalism Covioli, T; Dolci, T; Azzalini, F; Piantella, D; Barbierato, Enrico; Gribaudo, M
1-gen-2022 A Methodology for Controlling Bias and Fairness in Synthetic Data Generation Barbierato, Enrico; Della Vedova, Marco Luigi; Tessera, Daniele; Toti, Daniele; Vanoli, Nicola
1-gen-2022 FGDB: A comprehensive graph database of ligand fragments from the Protein Data Bank Toti, Daniele; Macari, G.; Barbierato, Enrico; Polticelli, F.
1-gen-2022 Shifting Perspectives on AI Evaluation: The Increasing Role of Ethics in Cooperation Barbierato, Enrico; Zamponi, M. E.