User centric explanations: A breakthrough for explainable models
Thanks to recent developments in explainable Deep Learning models, researchers have shown that these models can be incredibly successful and provide encouraging results. However, a lack of model interpretability can hinder the efficient implementation of Deep Learning models in real-world applicatio...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/35950/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112177882&doi=10.1109%2fICIT52682.2021.9491641&partnerID=40&md5=7b9459571ec0379673b4765a55181b63 |
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