STANZIONE, CLAUDIO
STANZIONE, CLAUDIO
Dipartimento di Scienze Aziendali - Management & Innovation Systems/DISA-MIS
A Hybrid Framework Integrating LLM and ANFIS for Explainable Fact-Checking
2024 Bangerter, Micaela Lucia; Fenza, Giuseppe; Furno, Domenico; Gallo, Mariacristina; Loia, Vincenzo; Stanzione, Claudio; You, Ilsun
Concept-drift detection index based on fuzzy formal concept analysis for fake news classifiers
2023 Fenza, G; Gallo, M; Loia, V; Petrone, A; Stanzione, C
Enhancing Fraud Detection through Cascading Machine Learning Models and Clustering Techniques
2024 Fenza, G.; Froncillo, S.; Stanzione, C.
Evaluating Web Domain Credibility: A Multifactorial Score for Analyzing Online Reliability
2024 Fenza, G.; Gallo, M.; Loia, V.; Stanzione, C.
Explainable Artificial Intelligence in Cybersecurity: A Survey
2022 Capuano, N.; Fenza, G.; Loia, V.; Stanzione, C.
OSINT Knowledge Graph for Fact-Checking: Google Map Hacks Debunking
2023 Fenza, G.; Loia, V.; Mainardi, P. M.; Stanzione, C.
Propaganda Detection Robustness Through Adversarial Attacks Driven by eXplainable AI
2023 Cavaliere, D.; Gallo, M.; Stanzione, C.
Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study
2024 Fenza, G.; Loia, V.; Stanzione, C.; Di Gisi, M.
Toward reliable machine learning with Congruity: a quality measure based on formal concept analysis
2023 De Maio, Carmen; Fenza, Giuseppe; Gallo, Mariacristina; Loia, Vincenzo; Stanzione, Claudio
Unfolding the Misinformation Spread: An In-Depth Analysis Through Explainable Link Predictions and Data Mining
2024 Capuano, Nicola; Fenza, Giuseppe; Gallo, Mariacristina; Loia, Vincenzo; Stanzione, Claudio
Unisa at SemEval-2023 Task 3: A SHAP-based method for Propaganda Detection
2023 Bangerter, Micaela; Fenza, Giuseppe; Gallo, Mariacristina; Loia, Vincenzo; Volpe, Alberto; Maio, Carmen De; Stanzione, Claudio
Unmask inflated product reviews through Machine Learning
2021 Bangerter, Ml; Fenza, G; Gallo, M; Genovese, A; Nota, Fd; Stanzione, C; Zanfardino, G
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Hybrid Framework Integrating LLM and ANFIS for Explainable Fact-Checking | 1-gen-2024 | Bangerter, Micaela Lucia; Fenza, Giuseppe; Furno, Domenico; Gallo, Mariacristina; Loia, Vincenzo; Stanzione, Claudio; You, Ilsun | |
| Concept-drift detection index based on fuzzy formal concept analysis for fake news classifiers | 1-gen-2023 | Fenza, G; Gallo, M; Loia, V; Petrone, A; Stanzione, C | |
| Enhancing Fraud Detection through Cascading Machine Learning Models and Clustering Techniques | 1-gen-2024 | Fenza, G.; Froncillo, S.; Stanzione, C. | |
| Evaluating Web Domain Credibility: A Multifactorial Score for Analyzing Online Reliability | 1-gen-2024 | Fenza, G.; Gallo, M.; Loia, V.; Stanzione, C. | |
| Explainable Artificial Intelligence in Cybersecurity: A Survey | 1-gen-2022 | Capuano, N.; Fenza, G.; Loia, V.; Stanzione, C. | |
| OSINT Knowledge Graph for Fact-Checking: Google Map Hacks Debunking | 1-gen-2023 | Fenza, G.; Loia, V.; Mainardi, P. M.; Stanzione, C. | |
| Propaganda Detection Robustness Through Adversarial Attacks Driven by eXplainable AI | 1-gen-2023 | Cavaliere, D.; Gallo, M.; Stanzione, C. | |
| Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study | 1-gen-2024 | Fenza, G.; Loia, V.; Stanzione, C.; Di Gisi, M. | |
| Toward reliable machine learning with Congruity: a quality measure based on formal concept analysis | 1-gen-2023 | De Maio, Carmen; Fenza, Giuseppe; Gallo, Mariacristina; Loia, Vincenzo; Stanzione, Claudio | |
| Unfolding the Misinformation Spread: An In-Depth Analysis Through Explainable Link Predictions and Data Mining | 1-gen-2024 | Capuano, Nicola; Fenza, Giuseppe; Gallo, Mariacristina; Loia, Vincenzo; Stanzione, Claudio | |
| Unisa at SemEval-2023 Task 3: A SHAP-based method for Propaganda Detection | 1-gen-2023 | Bangerter, Micaela; Fenza, Giuseppe; Gallo, Mariacristina; Loia, Vincenzo; Volpe, Alberto; Maio, Carmen De; Stanzione, Claudio | |
| Unmask inflated product reviews through Machine Learning | 1-gen-2021 | Bangerter, Ml; Fenza, G; Gallo, M; Genovese, A; Nota, Fd; Stanzione, C; Zanfardino, G |