Mining Bad Credit Card Accounts from OLAP and OLTP. - Sheikh Rabiul Islam; William Eberle; Sheikh Khaled Ghafoor (ICCDA, 2017)

A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases. - Md Mosharaf Hossain; Thomas M. Hines; Sheikh K. Ghafoor; Sheikh Rabiul Islam; Ramakrishnan Kannan; Sreenivas R. Sukumar 001 (IEEE BigData, 2018)

Mining Illegal Insider Trading of Stocks: A Proactive Approach. - Sheikh Rabiul Islam; Sheikh Khaled Ghafoor; William Eberle (IEEE BigData, 2018)

A Deep Learning Based Illegal Insider-Trading Detection and Prediction Technique in Stock Market. - Sheikh Rabiul Islam (CoRR, 2018)

Credit Default Mining Using Combined Machine Learning and Heuristic Approach. - Sheikh Rabiul Islam; William Eberle; Sheikh Khaled Ghafoor (CoRR, 2018)

Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection. - Qian (Guenevere) Chen; Sheikh Rabiul Islam; Henry Haswell; Robert A. Bridges (SciSec, 2019)

Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction. - Sheikh Rabiul Islam; William Eberle; Sid C. Bundy; Sheikh Khaled Ghafoor (CoRR, 2019)

Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy. - Sheikh Rabiul Islam; William Eberle; Sheikh K. Ghafoor; Sid C. Bundy; Douglas A. Talbert; Ambareen Siraj (CoRR, 2019)

Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. - Sheikh Rabiul Islam; William Eberle; Sheikh K. Ghafoor; Ambareen Siraj; Mike Rogers (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Towards Quantification of Explainability in Explainable Artificial Intelligence Methods. - Sheikh Rabiul Islam; William Eberle; Sheikh K. Ghafoor (FLAIRS, 2020)

Implications of Combining Domain Knowledge in Explainable Artificial Intelligence. - Sheikh Rabiul Islam; William Eberle (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Observing the Unobserved: A Newspaper Based Dengue Surveillance System for the Low-Income Regions of Bangladesh. - Nazia Tasnim; Md. Istiak Hossain Shihab; Moqsadur Rahman; Jillur Rahman Saurav; Sheikh Rabiul Islam; Mohammad Ruhul Amin (FLAIRS, 2021)

COVID19α: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis. - Biddut Sarker Bijoy; Syeda Jannatus Saba; Souvika Sarkar; Md. Saiful Islam 007; Sheikh Rabiul Islam; Mohammad Ruhul Amin; Shubhra Kanti Karmaker Santu (IUI Companion, 2021)

A Supervised Rare Anomaly Detection Technique via Cooperative Co-evolution-Based Feature Selection Using Benchmark UNSW_NB15 Dataset. - A. N. M. Bazlur Rashid; Mohiuddin Ahmed; Sheikh Rabiul Islam (UbiSec, 2021)

Explainable Artificial Intelligence Approaches: A Survey. - Sheikh Rabiul Islam; William Eberle; Sheikh Khaled Ghafoor; Mohiuddin Ahmed (CoRR, 2021)

Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh. - Nazia Tasnim; Md. Istiak Hossain Shihab; Moqsadur Rahman; Sheikh Rabiul Islam; Mohammad Ruhul Amin (CoRR, 2021)

FAIXID: A Framework for Enhancing AI Explainability of Intrusion Detection Results Using Data Cleaning Techniques. - Hong Liu 022; Chen Zhong; Awny Alnusair; Sheikh Rabiul Islam (J. Netw. Syst. Manag., 2021)

Advancing Fairness in Public Funding Using Domain Knowledge. - Thomas Goolsby; Sheikh Rabiul Islam; Ingrid Russell (AAAI Spring Symposium: HFIF, 2022)

Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies. - Yash Mahajan; Sheikh Rabiul Islam; Mohammad Ruhul Amin; Shubhra Kanti Karmaker Santu (IEEE Big Data, 2022)

Incorporating the Concepts of Fairness and Bias into an Undergraduate Computer Science Course to Promote Fair Automated Decision Systems. - Sheikh Rabiul Islam; Ingrid Russell; William Eberle; Darina Dicheva (SIGCSE (2), 2022)

Instilling conscience about bias and fairness in automated decisions. - Sheikh Rabiul Islam; Ingrid Russell; William Eberle; Darina Dicheva (J. Comput. Sci. Coll., 2022)

Predicting Potential School Shooters from Social Media Posts. - Alana Cedeno; Rachel Liang; Sheikh Rabiul Islam (IEEE Big Data, 2023)

Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence. - Tejas Venkateswaran; Sheikh Rabiul Islam; Md Golam Moula Mehedi Hasan; Mohiuddin Ahmed (IEEE Big Data, 2023)

Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch. - Rahul Kumar; Md. Kamruzzaman Sarker; Sheikh Rabiul Islam (DeLTA, 2023)

Evaluating Fairness in Predictive Policing Using Domain Knowledge. - Ava Downey; Sheikh Rabiul Islam; Md. Kamruzzaman Sarker (FLAIRS, 2023)

Incorporating the Concept of Bias and Fairness in Cybersecurity Curricular Module. - Sheikh Rabiul Islam; Ingrid Russell; Maanak Gupta (SIGCSE (2), 2023)

Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making. - Souvika Sarkar; Biddut Sarker Bijoy; Syeda Jannatus Saba; Dongji Feng; Yash Mahajan; Mohammad Ruhul Amin; Sheikh Rabiul Islam; Shubhra Kanti Karmaker Santu (ACM Trans. Intell. Syst. Technol., 2023)

Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading. - Anoop Adusumilli; Sheikh Rabiul Islam; Iman Dehzangi; June Kim (IEEE Big Data, 2024)

Prompt Chaining-Assisted Malware Detection: A Hybrid Approach Utilizing Fine-Tuned LLMs and Domain Knowledge-Enriched Cybersecurity Knowledge Graphs. - Neha Mohan Kumar; Fahmida Tasnim Lisa; Sheikh Rabiul Islam (IEEE Big Data, 2024)

Algorithmic Lending Bias: Evaluating the Fairness of Historical Redlining in Loan Approvals. - Kuber Sarwal; Sheikh Rabiul Islam (IEEE Big Data, 2024)

Multimodal and Explainable Android Adware Classification Techniques. - Momoreoluwa Ayinde; Sheikh Rabiul Islam; Iman Dehzangi; Fahmida Tasnim Lisa (FLAIRS, 2024)

Severe Weather Forecasting via the Sole Use of Satellite Data. - Brianna D'Urso; Sheikh Rabiul Islam; Md. Kamruzzaman Sarker; Ingrid Russell (FLAIRS, 2024)

Knowledge-infused and Explainable Malware Forensics. - Neha Mohan Kumar; Sheikh Rabiul Islam (FLAIRS, 2024)

Explainable Deep Learning Models for Dynamic and Online Malware Classification. - Quincy Card; Daniel Simpson; Kshitiz Aryal; Maanak Gupta; Sheikh Rabiul Islam (SMARTCOMP, 2024)

Multi-modal Machine Learning Model for Interpretable Malware Classification. - Fahmida Tasnim Lisa; Sheikh Rabiul Islam; Neha Mohan Kumar (xAI (3), 2024)

Predictive Policing: A Fairness-aware Approach. - Ava Downey; Sheikh Rabiul Islam; Md Kamruzzman Sarker (Int. J. Artif. Intell. Tools, 2024)

Advances in Explainable, Fair, and Trustworthy AI. - Sheikh Rabiul Islam; Ingrid Russell; William Eberle; Douglas A. Talbert; Md Golam Moula Mehedi Hasan (Int. J. Artif. Intell. Tools, 2024)

Preface. - Ingrid Russell; Sheikh Rabiul Islam; William Eberle; Douglas A. Talbert; Md Golam Moula Mehedi Hasan (Int. J. Artif. Intell. Tools, 2024)

Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides. - Sayed Mehedi Azim; Aravind Balasubramanyam; Sheikh Rabiul Islam; Jinglin Fu; Iman Dehzangi (Algorithms, 2024)