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-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, E.; Della Vedova, M. L.; Tessera, D.; Toti, D.; Vanoli, N.
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.
1-gen-2022 Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries Pozzi, Andrea; Toti, Daniele
1-gen-2022 The CHAMEO Ontology: Exploiting EMMO's Multiperspective Versatility for Capturing Materials Characterization Procedures Del Nostro, P.; Goldbeck, G.; Toti, Daniele
1-gen-2021 Detection of Student Engagement in e-Learning Systems Based on Semantic Analysis and Machine Learning Toti, Daniele; Capuano, N.; Campos, F.; Dantas, M.; Neves, F.; Caballe, S.
1-gen-2021 Maeo: An ontology for modeling agents, experts and expertise within an open online materials modeling marketplace Goldbeck, G.; Toti, Daniele
1-gen-2021 Osmo: Ontology for simulation, modelling, and optimization Horsch, M. T.; Toti, Daniele; Chiacchiera, S.; Seaton, M. A.; Goldbeck, G.; Todorov, I. T.
1-gen-2021 SURVANT: An Innovative Semantics-Based Surveillance Video Archives Investigation Assistant Vella, G.; Dimou, A.; Gutierrez-Perez, D.; Toti, Daniele; Nicoletti, T.; La Mattina, E.; Grassi, F.; Ciapetti, A.; Mcelligott, M.; Shahid, N.; Daras, P.