90 citations · 195 across the 11 of their papers we have counts for
5 papers · 1 filter
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor
Artificial Intelligence (AI) has become an integral part of domains such as security, finance, healthcare, medicine, and criminal justice. Explaining the decisions of AI systems in…
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor +3
In the area of credit risk analytics, current Bankruptcy Prediction Models (BPMs) struggle with (a) the availability of comprehensive and real-world data sets and (b) the presence…
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor +2
Artificial Intelligence (AI) has become an integral part of modern-day security solutions for its ability to learn very complex functions and handling "Big Data". However, the lack…
Extending the Message Passing Interface (MPI) with User-Level Schedules
Derek Schafer, Sheikh Ghafoor, Daniel Holmes +2
Composability is one of seven reasons for the long-standing and continuing success of MPI. Extending MPI by composing its operations with user-level operations provides useful inte…
Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction
Sheikh Rabiul Islam, William Eberle, Sid Bundy +1
Although "black box" models such as Artificial Neural Networks, Support Vector Machines, and Ensemble Approaches continue to show superior performance in many disciplines, their ad…