Ontology-Based Neuro-Symbolic AI: Effects on Prediction Quality and Explainability
Artificial intelligence (AI) systems, based on neural networks are becoming ubiquitous. However, in many cases, their application is constrained by the lack of interpretability. One of the ways of overcoming this limitation is neuro-symbolic approaches, where the neural network is complemented by so...
| Κύριοι συγγραφείς: | , , |
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
IEEE
2024-01-01
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| Σειρά: | IEEE Access |
| Θέματα: | |
| Διαθέσιμο Online: | https://ieeexplore.ieee.org/document/10731866/ |