Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM by Tadesse G. Wakjira (14779165)

Explainable phishing website detection for secure and sustainable cyber infrastructure by Tanzila Kehkashan (20748842)

“…Traditional methods might not fully capture the significance of individual features. To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. …”

Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

“…Recursive feature elimination (RFE) was leveraged to identify a subset of features to improve the performance of model. SHAP based analysis was used for the importance of features and support the explainability of the proposed model.…”

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis by Ammar, Abulibdeh

“…Furthermore, the SHapley Additive exPlanations (SHAP) method was used to rank the input features based on their importance according to the mean SHAP value. …”
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Get full text
Get full text

Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis by Ammar Abulibdeh (15785928)

“…Furthermore, the SHapley Additive exPlanations (SHAP) method was used to rank the input features based on their importance according to the mean SHAP value. …”

Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

“…From farm to fork, the performance of food‐producing systems is influenced by significant changes in the environment, population and economy. …”

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…By analyzing the explanations generated by SHAP, we identify that the decision of a FER model is largely influenced by features such as eyes, alar crease, lips, and jaws. …”

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. Early identification of ASD can significantly support timely intervention and treatment planning. …”

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet by Vineet Dhanawat (22361395)

“…<p dir="ltr">The exponential increase in the adoption of Electric Vehicles (EVs) presents significant problems to the stability of the power grid. …”