activity
20202026
most citedPredictive Modeling of Physical and Mechanical Properties of Pervious Concrete using XGBoost

45 citations · 48 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight

Ismail B. Mustapha, Shafaatunnur Hasan, Sunday O. Olatunji +1

Class imbalance in deep neural networks (DNNs) has witnessed a rapid increase in research attention in recent years. However, the varying accounts of the reasons behind the poor pe…

cs.LG2025★ 1 cited

Intelligent Gradient Boosting Algorithms for Estimating Strength of Modified Subgrade Soil

Ismail B. Mustapha, Muyideen Abdulkareem, Shafaatunnur Hasan +3

The performance of pavement under loading depends on the strength of the subgrade. However, experimental estimation of properties of pavement strengths such as California bearing r…

cs.LG2023★ 1 cited

Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification

Ismail. B. Mustapha, Shafaatunnur Hasan, Hatem S Y Nabbus +3

One of the most studied machine learning challenges that recent studies have shown the susceptibility of deep neural networks to is the class imbalance problem. While concerted res…

cs.CE2022★ 45 cited

Predictive Modeling of Physical and Mechanical Properties of Pervious Concrete using XGBoost

Ismail B. Mustapha, Zainab Abdulkareem, Muyideen Abdulkareem +1

High permeability of pervious concrete (PC) makes it a special type of concrete utilised for certain applications. However, the complexity of the behaviour and properties of PC lea…

cs.CR2020★ 1 cited

Effective Email Spam Detection System using Extreme Gradient Boosting

Ismail B. Mustapha, Shafaatunnur Hasan, Sunday O. Olatunji +2

The popularity, cost-effectiveness and ease of information exchange that electronic mails offer to electronic device users has been plagued with the rising number of unsolicited or…