XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution

XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.

ग्रंथसूची विवरण
मुख्य लेखक:	Rahman, Anika
अन्य लेखक:	Alam, Md. Golam Rabiul
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2024
विषय:	Explainable AI XOPSIS LIME SHAP Maternal health Interpretability Transparency Artificial intelligence
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/22640

समान संसाधन

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PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
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Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
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Transparency, efficiency, competitiveness and compliance of PPA 2006 &PPR 2008: a case study on BCIC based on KPIs
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Implementing A.I based solutions to understand & predict consumer sentiment
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Artificial intelligence: Essential to Successful Consumer Acquisition for the Consumer Electronics Goods Industry in Bangladesh. A study on Walton Hi Tech Industries Ltd.
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Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
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Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
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Yoga posture recognition using the deep learning process
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Slides /
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Maternity leave: (A study of its impact on female employees in organisations in Dhaka Bangladesh)
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Ideal solution of college linear algebra : theory of matrices /
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Women’s preferences for maternal healthcare services in Bangladesh: Evidence from a discrete choice experiment.
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