Browsing by Subject "Explainable AI"
Now showing items 1-9 of 9
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Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ... -
Comparative analysis of machine learning models for stock price analysis across different dataset sizes
(Brac University, 2023-05)The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult for investors to invest. This paper compares six different ... -
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography (CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to diagnose a variety of disorders, including brain disease, whole-body ... -
Demystifying machine learning models for IOT attack detection with explainable AI
(Brac University, 2021-09)Internet of things (IoT) dramatically is changing our lives with its newly invented devices and applications which leads to various emerging cybersecurity challenges or threats. The rapid growth of IoT arouses security ... -
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ... -
Interpretable credit card fraud detection using deep learning leveraging XAI
(Brac University, 2022-09)Due to the internet's widespread accessibility, more and more businesses are bringing their offerings online. Besides, because of the growth of E-commerce websites, both individuals and businesses that deal in finances ... -
Personalization in federated recommendation system using SVD++ with explainability
(Brac University, 2022-01)Large-scale distributed Artificial Intelligence (AI) systems are getting more widespread as traditional AI applications require centralizing large amounts of data for training models, posing privacy and security risks. ... -
Voice impersonation detection using LSTM based RNN and explainable AI
(Brac University, 2021-10)The advancing eld of arti cial synthetic media introduced deepfakes which made it easier to synthesize a person's voice, identical to their original voice mechanically to use it for negative means. People's voices are ... -
XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
(Brac University, 2023-07)Explainable AI (XAI) techniques are essential for comprehending machine learn- ing model predictions in a variety of fields, including healthcare. In this study, we highlight XOPSIS, a newly developed XAI method built ...
