User centric explanations: A breakthrough for explainable models

• Main Authors: Hassan, Ali, Abdulhak, Mansoor Abdullateef Abdulgabber, Sulaiman, Riza, Kahtan, Hasan
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• 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
• Institution: Universiti Malaya

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...