| Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review A Presciuttini, A Cantini, F Costa, A Portioli-Staudacher Journal of Manufacturing Systems 74, 477-486, 2024 | 13 | 2024 |
| Applications of IoT and Advanced Analytics for manufacturing operations: a systematic literature review A Presciuttini, A Portioli-Staudacher Procedia Computer Science 232, 327-336, 2024 | 5 | 2024 |
| Lean and Digital Strategy Role in Achieving a Successful Digital Transformation S Frecassetti, A Presciuttini, M Rossini, A Portioli-Staudacher IFIP International Conference on Advances in Production Management Systems …, 2023 | 5 | 2023 |
| From Explanations to Actions: Leveraging SHAP, LIME, and Counterfactual Analysis for Operational Excellence in Maintenance Decisions A Presciuttini, A Cantini, A Portioli-Staudacher 2024 4th International Conference on Electrical, Computer, Communications …, 2024 | | 2024 |
| Advancing Manufacturing with Interpretable Machine Learning: LIME-Driven Insights from the SECOM Dataset A Presciuttini, A Cantini, A Portioli-Staudacher IFIP International Conference on Advances in Production Management Systems …, 2024 | | 2024 |
| Explainable Artificial Intelligence in Manufacturing Operations: A Bibliometric Analysis A Presciuttini, A Cantini, A Portioli-Staudacher IFIP International Conference on Advances in Production Management Systems …, 2024 | | 2024 |
