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Toti, Daniele

Toti, Daniele  

BRESCIA - Dipartimento di Matematica e fisica 'Niccolò Tartaglia'  

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Data di pubblicazione Titolo Autore(i) File
1-gen-2025 Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control Del Nostro, P.; Goldbeck, G.; Kienberger, F.; Moertelmaier, M.; Pozzi, Andrea; Al-Zubaidi-R-Smith, N.; Toti, Daniele
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 Mitigating exposure bias in large language model distillation: an imitation learning approach Pozzi, Andrea; Incremona, Alessandro; Tessera, Daniele; Toti, Daniele
1-gen-2025 Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems Pozzi, Andrea; Incremona, Alessandro; Toti, Daniele
1-gen-2024 Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging Espin, J.; Zhang, D.; Toti, Daniele; Pozzi, Andrea
1-gen-2024 Top level ontologies: desirable characteristics in the context of materials science Del Nostro, P.; Friis, J.; Ghedini, E.; Goldbeck, G.; Toti, Daniele; Zaccarini, F. A.
1-gen-2023 A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states Pozzi, Andrea; Moura, S.; Toti, Daniele
1-gen-2023 Assessment of the E3C corpus for the recognition of disorders in clinical texts Zanoli, R.; Lavelli, A.; Verdi Do Amarante, D.; Toti, 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 Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach Pozzi, Andrea; Toti, Daniele
1-gen-2023 Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem Del Nostro, P.; Goldbeck, G.; Pozzi, Andrea; Toti, Daniele
1-gen-2023 Natural Language Understanding for the Recommendation of Learning Resources Within Student Collaboration Tools Capuano, N.; Lomasto, L.; Pozzi, Andrea; 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-2023 Review and Alignment of Domain-Level Ontologies for Materials Science De Baas, A.; Nostro, P. D.; Friis, J.; Ghedini, E.; Goldbeck, G.; Paponetti, I. M.; Pozzi, Andrea; Sarkar, A.; Yang, L.; Zaccarini, F. A.; Toti, Daniele
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 A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics Pozzi, A.; Moura, S.; Toti, D.
1-gen-2022 CAERS: A Conversational Agent for Intervention in MOOCs’ Learning Processes Rossi, D.; Stroele, V.; Braga, R.; Caballe, S.; Capuano, N.; Campos, F.; Dantas, M.; Lomasto, L.; Toti, Daniele
1-gen-2022 CHAMEO: An ontology for the harmonisation of materials characterisation methodologies Del Nostro, P.; Goldbeck, G.; Toti, Daniele
1-gen-2022 Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics Pozzi, Andrea; Moura, S.; Toti, Daniele
1-gen-2022 FGDB: A comprehensive graph database of ligand fragments from the Protein Data Bank Toti, Daniele; Macari, G.; Barbierato, Enrico; Polticelli, F.