Agostino CORTESI

Position
Full Professor
Roles
Rector's Delegate for Research Quality Assessment
Deputy Coordinator of the Scientific Committee of the "Temporary Centre for the Innovation Ecosystem Project"
Telephone
041 234 8450
E-mail
cortesi@unive.it
egov@unive.it - CORTESI Agostino
Scientific sector (SSD)
Informatica [INFO-01/A]
Website
www.unive.it/people/cortesi (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Room: office Z.B04 (Zeta B building)
Office
Interconnected Nord-Est Innovation Ecosystem - Temporary Project Centre
Research Institute
Research Institute for Social Innovation
Research Institute
Research Institute for Complexity
Research Institute
Research Institute for Innovation Management

Perez Gort M.L.; Cortesi A. A robust scheme for securing relational data incremental watermarking in INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT DATA INSIGHTS, vol. 5 (ISSN 2667-0968)
DOI 2025, Journal Article - ARCA card: 10278/5091428


Subhasish Ghosh, Amit Kr Mandal, Agostino Cortesi Enhancing Deep Learning Model Privacy Against Membership Inference Attacks Using Privacy‑Preserving Oversampling in SN COMPUTER SCIENCE, vol. 6, pp. 316 (ISSN 2661-8907)
- URL correlato 2025, Journal Article - ARCA card: 10278/5091687


Roy, Mandira; Deb, Novarun; Cortesi, Agostino; Chaki, Nabendu Mapping system requirements to emotional impact: a semi-automated approach in INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING, vol. article in press (ISSN 1614-5046)
DOI 2025, Journal Article - ARCA card: 10278/5101807


Ghosh, Partha; Das, Subhashis; Roy, Subhankar; Bhattacharjee, Ankur; Cortesi, Agostino; Sen, Soumya SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer in IEEE ACCESS, vol. 13, pp. 85882-85897 (ISSN 2169-3536)
DOI 2025, Journal Article - ARCA card: 10278/5101809


Ghosh, Tirthankar; Roy, Mandira; Das, Souvick; Chaki, Nabendu; Cortesi, Agostino A Hybrid RAG Framework for Bug-to-Feature Mapping , Computer Information Systems and Industrial Management, Springer, pp. 164-178, Convegno: 24th International Conference on Computer Information Systems and Industrial Management - CISIM 2025, September 11–13, 2025 (ISBN 9783032024053; 9783032024060) (ISSN 0302-9743)
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5101788