32 citations · 35 across the 7 of their papers we have counts for
7 papers
LLM-as-Judge for Semantic Judging of Powerline Segmentation in UAV Inspection
Akram Hossain, Rabab Abdelfattah, Xiaofeng Wang +1
The deployment of lightweight segmentation models on drones for autonomous power line inspection presents a critical challenge: maintaining reliable performance under real-world co…
Hierarchical Job Classification with Similarity Graph Integration
Md Ahsanul Kabir, Kareem Abdelfatah, Mohammed Korayem +1
In the dynamic realm of online recruitment, accurate job classification is paramount for optimizing job recommendation systems, search rankings, and labor market analyses. As job m…
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs
Md Ahsanul Kabir, Kareem Abdelfatah, Shushan He +2
As recruitment and talent acquisition have become more and more competitive, recruitment firms have become more sophisticated in using machine learning (ML) methodologies for optim…
A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications
Asif J. Chowdhury, Wenqiang Yang, Kareem E. Abdelfatah +3
Computational catalyst discovery involves the development of microkinetic reactor models based on estimated parameters determined from density functional theory (DFT). For complex…
Tripartite Vector Representations for Better Job Recommendation
Mengshu Liu, Jingya Wang, Kareem Abdelfatah +1
Job recommendation is a crucial part of the online job recruitment business. To match the right person with the right job, a good representation of job postings is required. Such r…
Environmental Modeling Framework using Stacked Gaussian Processes
Kareem Abdelfatah, Junshu Bao, Gabriel Terejanu
A network of independently trained Gaussian processes (StackedGP) is introduced to obtain predictions of quantities of interest with quantified uncertainties. The main applications…