Explainable AI in Manufacturing: an Analysis of Transparency and Interpretability Methods for the XMANAI Platform

Author:

Branco Rui1,Agostinho Carlos2,Gusmeroli Sergio3,Lavasa Eleni4,Dikopoulou Zoumpolia5,Monzo David6,Lampathaki Fenareti7

Affiliation:

1. Knowledgebiz,Caparica,Portugal

2. Knowledgebiz and CTS-UNINOVA,Caparica,Portugal

3. Politecnico di Milano,Milan,Italy

4. ATHENA Research & Innovation Center,Athens,Greece

5. AiDEAS,Tallinn,Estonia

6. Tyris AI,Valencia,Spain

7. Suite5 Data Intelligence Solutions,Limassol,Cyprus

Publisher

IEEE

Reference67 articles.

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3. Learning with Continuous Classes;quinlan;Proc Australian Conference on Artificial Intelligence,1992

4. Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery;wisdom;NIPS 2016 WS on Interpretable Machine Learning in Complex Systems,2016

5. Rule-Based Learning Systems for Support Vector Machines;núñez;Neural Process Letters,2006

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1. Explainability as the key ingredient for AI adoption in Industry 5.0 settings;Frontiers in Artificial Intelligence;2023-12-11

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