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.
第一著者: | Rahman, Anika |
---|---|
その他の著者: | Alam, Md. Golam Rabiul |
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
Brac University
2024
|
主題: | |
オンライン・アクセス: | http://hdl.handle.net/10361/22640 |
類似資料
-
Demystifying machine learning models for IOT attack detection with explainable AI
著者:: Muna, Rabeya Khatun, 等
出版事項: (2021) -
Personalization in federated recommendation system using SVD++ with explainability
著者:: Patwary, Kabbya Kantam, 等
出版事項: (2022) -
Voice impersonation detection using LSTM based RNN and explainable AI
著者:: Barua, Kawshik, 等
出版事項: (2022) -
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
著者:: Hossain, Mainul, 等
出版事項: (2022) -
Bank loan prediction using machine learning
著者:: Mahottam, Parthosarothi, 等
出版事項: (2023)