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Marianna Molinari

Dottoranda

Dipartimento di Scienze Giuridiche

Settore scientifico disciplinare: IUS/20 FILOSOFIA DEL DIRITTO

Pubblicazioni

  • Molinari, M., Bonfanti, C., Amantea, I.A.: Principles of Law: Approaching a Functional Extraction. In: Proceedings of "AI4Legs 2023 - Workshop on AI and Legislation" - Within the 19th International Conference on Artificial Intelligence and Law - ICAIL 2023 - (In Press) (2023);

  • Molinari, M., Quaranta, M., Amantea, I.A.: How do Case Law and Principles of Law interact, Computationally? In: Proceedings of "Workshop on Innovation and Digitization of the Justice System" - Within the XX Conference of the Italian Chapter of AIS - itAIS 2023 (In Press) (2023);

  • Molinari, M., Quaranta, M., Amantea, I.A.: Principles of Law: the Missing Link Between Cases and Rules. In: Proceedings of "ALP 2023 - Workshop on AI, Law and Philosophy" - Within the 36th International Conference on Legal Knowledge and Information Systems - JURIX 2023 (In Press) (2023);

  • Amantea, I.A., Quaranta, M., Molinari, M., Negrone, C., Peduto, C., Demarchi, F.: The E-Dossier as a Tool to Optimize Civil Courts: The Cuneo Case. In: Proceedings of the 13th International Conference on Simulation and Modelling Methodologies, Technologies and Applications - SIMULTECH 2023, 425-431 (2023);

  • Amantea, I.A., Quaranta, M., Molinari, M., Negrone, C., Peduto, C., Demarchi, F.: The Optimization of Italian Courts through the E-Dossier: The Court of Cuneo. In: Proceedings of "Workshop on Innovation and Digitization of the Justice System" - Within the XX Conference of the Italian Chapter of AIS- itAIS 2023 (In Press) (2023);

  • Amantea, I.A., Quaranta, M., Molinari, M., Peduto, C., Demarchi, F.: E- Dossiers for Optimising Data Transmission in Italian Civil Area: Telematisation at the Tribunal of Cuneo. In: Journal of Simulation Engineering, 4, 10-1 (2024);

  • Amantea, I.A., Governatori, G., Molinari, M., Quaranta M. and Motsi-Omoijiade I.: What's the AIM? A Methodology for Artificial Intelligence Compliance. In: Proceedings of the 6th International Conference on Process Mining - ICPM 2024 (In Press) (2024);

  • Bonfanti, C., Colombino, M., Iacobellis, G., Mignone, R., Spada, I., Zaharia, L.M.J., Quaranta, M., Molinari, M., Marta, S., Amantea, I.A., Audrito, D., Sulis, E., Di Caro, L., Boella, G.: A Pipeline for Data Management, Knowledge Extraction and Semantic Analysis of Unstructured Legal Judgments. In: Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence - Ital IA 2023, CEUR, 229-234 (2023);

  • Bonfanti, C., Colombino, M., Iacobellis, G., Mignone, R., Spada, I., Zaharia, L.M.J., Marta, S., Molinari, M., Amantea, I.A., Sulis, E., Di Caro, L., Boella, G.: A Practical Application of Artificial Intelligence Techniques for Legal Context Analysis. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2023 (In Press) (2023);

  • Governatori, G., Amantea, I.A., Quaranta, M., Molinari, M., Vagnoni, S., Ferraris, A. F., Contissa, G., Palmirani, M., Busso, M. and Grosso, M.: Fair Shifts by the Rule: a Rule-based Compliance Methodology for Medical Rosters. In: Proceedings of the 8th International Joint Conference on Rules and Reasoning - RULE ML + RR 2024 (In press) (2024);

  • Mignone, R., Spada, I., Bonfanti, C., Colombino, M., Iacobellis, G., Zaharia, L.M.J., Molinari, M., Marta, S., Amantea, I.A., Sulis, E., Di Caro, L., Boella, G.: Augmented Reading and Similar Case Matching: from Legal Domain Experts’ Modus Operandi to a Computational Pipeline. In: Proceedings of the Knowledge Management and process mining for Law (KM4Law), 9th Joint Ontology Workshops (JOWO 2023), co-located with FOIS 2023 (2023);

  • Quaranta, M., Amantea, I.A., Molinari, M.: The Introduction of AI in Healthcare: a Multi-Layered Issue. In: Proceedings of the 23rd Edition of the International Portuguese Conference on Artificial Intelligence - EPIA 2024 (In Press) (2024);

  • Spada, I., Mignone, R., Molinari, M., Audrito, D., Quaranta M., Amantea, I.A., Di Caro, L.: Adopting Video-Recordings to Extract Embedded Domain Knowledge and Automate Legal Case Reading. In: Proceedings in "Workshop on Annotation of Legal Data" - Within the 36th International Conference on Legal Knowledge and Information Systems - JURIX 2023 (In Press) (2023).

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