Francesco ORCIUOLI | Pubblicazioni
Francesco ORCIUOLI Pubblicazioni
| 2024 | |
| Articolo in rivista | |
| An explainable prediction method based on Fuzzy Rough Sets, TOPSIS and hexagons of opposition: Applications to the analysis of Information Disorder INFORMATION SCIENCES. Vol. 659. Pag.1-16 ISSN:0020-0255. | |
| Gaeta, A.; Loia, V.; Orciuoli, F. | |
| Digital Object Identifier (DOI): 10.1016/j.ins.2023.120050 Codice identificativo ISI: WOS:001152497200001 Codice identificativo SCOPUS: 2-s2.0-85181668766 | |
| Visualizza sul Database dei Prodotti (IRIS) |
| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| A Comprehensive Computational Framework for Detecting and Analyzing Human Stress in Workplace Through Rough Set Theory and ICF. In Springer Nature Switzerland Advances in Intelligent Networking and Collaborative Systems: The 16th International Conference on Intelligent Networking and Collaborative Systems Pag.45-56 | |
| Damiano, E.; Gaeta, A.; Orciuoli, F. | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-72322-3_5 Codice identificativo SCOPUS: 2-s2.0-85204973084 | |
| Visualizza sul Database dei Prodotti (IRIS) |
| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| Evaluating the Ability of Large Language Models to Generate Motivational Feedback. In Sifaleras A., Lin F. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Pag.188-201 Springer Science and Business Media Deutschland GmbH. ISSN:0302-9743. | |
| Gaeta, A.; Orciuoli, F.; Pascuzzo, A.; Peduto, A. | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-63028-6_15 Codice identificativo SCOPUS: 2-s2.0-85195869952 | |
| Visualizza sul Database dei Prodotti (IRIS) |
