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20182021
most citedExplainable Artificial Intelligence Approaches: A Survey

90 citations · 197 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CY2021★ 1 cited

Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh

Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman +2

Dengue fever has been considered to be one of the global public health problems of the twenty-first century, especially in tropical and subtropical countries of the global south. T…

cs.AI2021★ 90 cited

Explainable Artificial Intelligence Approaches: A Survey

Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor +1

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 stum…

cs.AI2019★ 27 cited

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…

cs.LG2019★ 1 cited

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…

cs.AI2019★ 15 cited

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…

cs.CR2019★ 3 cited

Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection

Qian Chen, Sheikh Rabiul Islam, Henry Haswell +1

Security operation centers (SOCs) typically use a variety of tools to collect large volumes of host logs for detection and forensic of intrusions. Our experience, supported by rece…

cs.AI2019★ 23 cited

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…

q-fin.GN2018

Worldcoin: A Hypothetical Cryptocurrency for the People and its Government

Sheikh Rabiul Islam

The world of cryptocurrency is not transparent enough though it was established for innate transparent tracking of capital flows. The most contributing factor is the violation of s…

cs.LG2018★ 8 cited

Credit Default Mining Using Combined Machine Learning and Heuristic Approach

Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor

Predicting potential credit default accounts in advance is challenging. Traditional statistical techniques typically cannot handle large amounts of data and the dynamic nature of f…

cs.DB2018★ 4 cited

Mining Bad Credit Card Accounts from OLAP and OLTP

Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor

Credit card companies classify accounts as a good or bad based on historical data where a bad account may default on payments in the near future. If an account is classified as a b…

q-fin.ST2018★ 25 cited

Mining Illegal Insider Trading of Stocks: A Proactive Approach

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 informa…