PRESCIUTTINI, ANNA
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Advancing Manufacturing with Interpretable Machine Learning: LIME-Driven Insights from the SECOM Dataset
2024-01-01 Presciuttini, A.; Cantini, A.; Portioli-Staudacher, A.
An Integrated Framework for Predictive Quality in Injection Molding: Combining Explainable AI and Time Series Analysis in a German Industry Case Study
2025-01-01 Presciuttini, A.; Cantini, A.; Cramer, S.; Huber, M.; Wolfschlager, D.; Schmitt, R. H.; Portioli-Staudacher, A.
Applications of IoT and Advanced Analytics for manufacturing operations: a systematic literature review
2024-01-01 Presciuttini, Anna; Portioli-Staudacher, Alberto
Explainable Artificial Intelligence in Manufacturing Operations: A Bibliometric Analysis
2024-01-01 Presciuttini, A.; Cantini, A.; Portioli-Staudacher, A.
From Explanations to Actions: Leveraging SHAP, LIME, and Counterfactual Analysis for Operational Excellence in Maintenance Decisions
2024-01-01 Presciuttini, Anna; Cantini, Alessandra; Portioli-Staudacher, Alberto
Lean and Digital Strategy Role in Achieving a Successful Digital Transformation
2023-01-01 Frecassetti, S.; Presciuttini, A.; Rossini, M.; Portioli-Staudacher, A.
Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review.
2024-01-01 Presciuttini, A.; Cantini, A.; Costa, F.; Portioli-Staudacher, A.
SURROGATE-BASED VS SIMULATION-BASED OPTIMIZATION FOR BUFFER ALLOCATION: A QUANTITATIVE ASSESSMENT
In corso di stampa Presciuttini, Anna; Zhu, Lulai; Costa, Federica; Cantini, Alessandra; Matta, Andrea; Portioli-Staudacher, Alberto