Barbierato, Enrico

Barbierato, Enrico  

BRESCIA - Dipartimento di Matematica e fisica 'Niccolò Tartaglia'  

Mostra records
Risultati 1 - 20 di 46 (tempo di esecuzione: 0.028 secondi).
Data di pubblicazione Titolo Autore(i) File
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 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 Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News Pozzi, Andrea; Barbierato, Enrico; Toti, Daniele
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-2022 A Methodology for Controlling Bias and Fairness in Synthetic Data Generation Barbierato, E.; Della Vedova, M. L.; Tessera, D.; Toti, D.; Vanoli, N.
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.
1-gen-2022 The Dual Role of Artificial Intelligence in Developing Smart Cities Zamponi, M. E.; Barbierato, Enrico
1-gen-2021 Performance Evaluation of a Data Lake Architecture via Modeling Techniques Barbierato, E.; Gribaudo, M.; Serazzi, G.; Tanca, L.
1-gen-2021 THE MIDDLE AGES AS INVENTED HISTORY: FORGERY, UCHRONIE AND WORLD MAP Barbierato, Enrico
1-gen-2020 Evaluating the Safety of Crowds in Enclosed Spaces by Markovian Agents Barbierato, E.; Gribaudo, M.; Iacono, M.; Levis, A. H.
1-gen-2020 Map-reduce process algebra: a formalism to describe directed acyclic graph task-based jobs in parallel environments Barbierato, Enrico; Gribaudo, M.; Iacono, M.
1-gen-2020 Multi-formalism models for performance engineering Barbierato, Enrico; Gribaudo, M.; Serazzi, G.