Dalila RESSI

Qualifica
Assegnista
E-mail
dalila.ressi@unive.it
839745@stud.unive.it
Sito web
www.unive.it/persone/dalila.ressi (scheda personale)
Struttura
Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais
Sede: Campus scientifico via Torino
Struttura
Venice School of Management
Sito web struttura: https://www.unive.it/management
Sede: San Giobbe

Laneve, Cosimo; Spanò, Alvise; Ressi, D.; Rossi, Sabina.; Bugliesi, M. Assessing Code Understanding in LLMs , Forte 2025, Springer, Cham, vol. 15732, pp. 202-210, Convegno: Forte 2025 (ISBN 9783031954962; 9783031954979) (ISSN 0302-9743)
DOI 2025, Articolo in Atti di convegno - Scheda ARCA: 10278/5097593


Ressi D.; Romanello R.; Piazza C.; Rossi S. AI-enhanced blockchain technology: A review of advancements and opportunities in JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 225 (ISSN 1084-8045)
DOI 2024, Articolo su rivista - Scheda ARCA: 10278/5081382


Ressi D.; Romanello R.; Rossi S.; Piazza C. Compressing neural networks via formal methods in NEURAL NETWORKS, vol. 178 (ISSN 0893-6080)
DOI 2024, Articolo su rivista - Scheda ARCA: 10278/5081401


Ressi D.; Romanello R.; Piazza C.; Rossi S. Neural Networks Reduction via Lumping , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, vol. 13796, pp. 75-90, Convegno: 21st International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, 2022 (ISBN 978-3-031-27180-9; 978-3-031-27181-6) (ISSN 0302-9743)
DOI 2023, Articolo in Atti di convegno - Scheda ARCA: 10278/5021281


Ressi D.; Pistellato M.; Albarelli A.; Bergamasco F. A Relevance-Based CNN Trimming Method for Low-Resources Embedded Vision , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, vol. 13196, pp. 297-309, Convegno: 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021, 2021 (ISBN 978-3-031-08420-1; 978-3-031-08421-8)
DOI 2022, Articolo in Atti di convegno - Scheda ARCA: 10278/5004312