no code implementations • 23 Jan 2021 • Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor, Mohiuddin Ahmed
The lack of explainability of a decision from an Artificial Intelligence (AI) based "black box" system/model, despite its superiority in many real-world applications, is a key stumbling block for adopting AI in many high stakes applications of different domain or industry.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 22 Nov 2019 • 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.
no code implementations • 22 Nov 2019 • Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, Ambareen Siraj
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 of extreme class imbalance in the data (i. e., very few samples for the minority class) that degrades the performance of the prediction model.
no code implementations • 22 Nov 2019 • Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers
Our experimental results suggest that the infusion of domain knowledge provides better explainability as well as a faster decision or response.
Explainable artificial intelligence Network Intrusion Detection
no code implementations • 27 May 2019 • Sheikh Rabiul Islam, William Eberle, Sid Bundy, Sheikh Khaled Ghafoor
Although "black box" models such as Artificial Neural Networks, Support Vector Machines, and Ensemble Approaches continue to show superior performance in many disciplines, their adoption in the sensitive disciplines (e. g., finance, healthcare) is questionable due to the lack of interpretability and explainability of the model.
no code implementations • 2 Jul 2018 • Sheikh Rabiul Islam, Sheikh Khaled Ghafoor, William Eberle
Illegal insider trading of stocks is based on releasing non-public information (e. g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public.
no code implementations • 2 Jul 2018 • Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor
Predicting potential credit default accounts in advance is challenging.