Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting
Emmanuel Aboah Boateng, Cassiano O. Becker, Nabiha Asghar, Kabir Walia,
Ashwin Srinivasan, Ehi Nosakhare, Soundar Srinivasan, Victor Dibia
NAACL 2025.

Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control System
Emmanuel Aboah Boateng, and J.W. Bruce
IEEE Transactions on Industrial Informatics (Under review) - arXiv:2305.00982

Explainable ICS Anomaly Detection based on COPOD Algorithm
Emmanuel Aboah Boateng, and J.W. Bruce
Proceedings of Student Research and Creative Inquiry Day, 2023.

Unsupervised Ensemble Methods for Anomaly Detection in PLC-based Process Control
Emmanuel Aboah Boateng, and J.W. Bruce
IEEE Transactions on Information Forensics and Security (Under review) - arXiv:2302.02097

Anomaly Detection for a Water Treatment System Based on a One-class Neural Network
Emmanuel Aboah Boateng, J.W. Bruce, and Douglas Talbert
IEEE Access Journal, 2022.

Unsupervised Machine Learning Techniques for Detecting PLC Process Control Anomalies
Emmanuel Aboah Boateng, and J.W. Bruce
Journal of Cybersecurity and Privacy, 2022, 2(2).

A New Histogram-based Visualization Tool for Analyzing Anomaly Detection Algorithm Performance
Emmanuel Aboah Boateng, and J.W. Bruce
Proceedings of Student Research and Creative Inquiry Day, 2022.

Design of Efficient Rectenna System for Higher Frequency Bands such as K-Band and Beyond
Emmanuel Aboah Boateng, and Kyo D. Song
IEEE Conference on Antenna Measurements & Applications (CAMA), 2021.

Anomaly Detection for Industrial Control Systems Based on Neural Networks with One-Class Objective Function
Emmanuel Aboah Boateng, and J.W. Bruce
Proceedings of Student Research and Creative Inquiry Day, 2021.