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.

Xehetasun bibliografikoak
Egile nagusia:	Rahman, Anika
Beste egile batzuk:	Alam, Md. Golam Rabiul
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Explainable AI XOPSIS LIME SHAP Maternal health Interpretability Transparency Artificial intelligence
Sarrera elektronikoa:	http://hdl.handle.net/10361/22640

Antzeko izenburuak

Demystifying machine learning models for IOT attack detection with explainable AI
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Argitaratua: (2021)

Personalization in federated recommendation system using SVD++ with explainability
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Voice impersonation detection using LSTM based RNN and explainable AI
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Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
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Bank loan prediction using machine learning
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A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
nork: Shakil, Mahmudul Hasan
Argitaratua: (2023)

Heart attack prediction using machine learning and XAI
nork: Ahsan, Mumtahina
Argitaratua: (2023)

Exploring Alzheimer's disease prediction with XAI in various neural network models
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Argitaratua: (2022)

Mobile sensors based human activity recognition using machine learning with explainable ML
nork: Rahman, Raihan, et al.
Argitaratua: (2021)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
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Argitaratua: (2022)

Demystifying black-box learning models of rumor detection from social media posts
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Advanced artificial intelligence self balanced robot for home security
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Argitaratua: (2018)

The role of Artificial Intelligence (AI) in the detection and diagnosis of chronic diseases – a review
nork: Zaman, Mumtahina
Argitaratua: (2022)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
nork: Rahman, Tahsinur, et al.
Argitaratua: (2023)

Good governance and human development
nork: Yadav, S.N
Argitaratua: (2009)

Explainable artificial intelligence and model calibration for water quality prediction
nork: Hellen, Nakayiza
Argitaratua: (2022)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
nork: Rahman, Masroor, et al.
Argitaratua: (2023)

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
nork: Niaz, H.M, et al.
Argitaratua: (2024)

Transparency, efficiency, competitiveness and compliance of PPA 2006 &PPR 2008: a case study on BCIC based on KPIs
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Will AI technology reduce job opportunities in future?
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Argitaratua: (2024)

Impact of artificial intelligence in closing the gender gap among women-led industries: a developing country perspective
nork: Basir, S M
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Implementing A.I based solutions to understand & predict consumer sentiment
nork: Bin Ahmed, Omar
Argitaratua: (2023)

Investigation on the strategy and impact of artificial insemination programme and performance of Crossbred Cattle in Bangladesh
nork: Majid, M.A., et al.
Argitaratua: (2019)

Comparative analysis of machine learning models for stock price analysis across different dataset sizes
nork: Srabon, Abir Alam, et al.
Argitaratua: (2023)

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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Argitaratua: (2023)

Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
nork: Islam, Md. Nazmul
Argitaratua: (2023)

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
nork: Barua, Debalina
Argitaratua: (2023)

Making AI intelligible :
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Mitigation of hallucination and interpretations of self attention of Mistral 7B AI to analyze and visualize context understanding ability of large language models
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To Afghanistan concerning data transparency among government agencies
nork: Quraishi, Haseebullah
Argitaratua: (2019)

Yoga posture recognition using the deep learning process
nork: Islam, Abidul, et al.
Argitaratua: (2023)

Predicting obesity: a comparative analysis of machine learning models incorporating different features
nork: Rahman, Md.Sakibur, et al.
Argitaratua: (2023)

The impact of artificial intelligence on the financial sector
nork: Siddiqui, Ria
Argitaratua: (2024)

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nork: Kueter, Roger A.
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Maternity leave: (A study of its impact on female employees in organisations in Dhaka Bangladesh)
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Argitaratua: (2023)

Ideal solution of college linear algebra : theory of matrices /
nork: Rahman, Md. Abdur
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Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
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Argitaratua: (2024)

Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
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Women’s preferences for maternal healthcare services in Bangladesh: Evidence from a discrete choice experiment.
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